Responsibilities

We are looking for an exceptional Senior GRC Analyst to join our growing team. In this role, you will lead compliance assessments for frameworks such as NIST 800-171, ISO 27001, NIST 800-53 (FedRAMP), PCI, MLPS and IRAP, while also driving broader security compliance efforts. The ideal candidate will use strong analytical, communication, and problem-solving skills to evaluate controls, identify gaps, and recommend improvements across security domains. You will also be responsible for:

• Lead and participate in both internal and external audits for frameworks including ISO 27001/27701, PCI-DSS, NIST 800-171, NIST 800-53 (FedRamp), and IRAP

• Experience using or exploring AI/automation tools to enhance, streamline, or scale Governance, Risk, and Compliance (GRC) processes and workflows

• Manage and oversee risk, compliance, and governance initiatives across teams

• Coordinate with process owners, control owners, auditors, and consultants to ensure findings are tracked and addressed

• Conduct risk assessments, security audits, and third-party/vendor risk reviews

• Review contracts to ensure security and compliance requirements are met

• Identify process gaps and recommend improvements to enhance the organization’s security posture

• Communicate risks and compliance requirements clearly to both technical and non-technical stakeholders

• Perform regular user access reviews

• Develop and track remediation plans for identified risks and issues

• Maintain and update the risk register

• Oversee vendor security assurance processes

• Collaborate with stakeholders to design and implement effective internal controls aligned with regulatory standards

• Support risk and security discussions across cross-functional teams

• Build strong working relationships across departments

• Take on additional responsibilities as needed

Requirements

Qualifications / Experience / Technical Skills

Please note that the working hours for this position are from 2:00 PM to 11:00 PM IST (overlap with U.S. Pacific Time required)

• 8+ years of experience in cybersecurity programs, audits, risk management, compliance, or remediation

• Experience working with cloud platforms such as AWS, Azure, or Google Cloud

• Proven ability to negotiate and prioritize risk remediation with internal stakeholders

• Bachelor’s degree in Information Systems, Computer Science, Information Security, or a related field

• Strong understanding of security controls, including cloud environments, firewalls, IDS/IPS, and vulnerability management

• Familiarity with NIST 800-171 and NIST Risk Management Framework (NIST 800-53)

• Experience auditing frameworks such as PCI-DSS, SOC 2, and ISO 27001/27701

• Relevant certifications (CISSP, CISA, PCI ISA, ISO, or similar) are preferred

• Ability to manage multiple priorities independently with minimal supervision

Soft Skills / Personal Characteristics

• Strong communication skills with the ability to translate compliance requirements into technical actions

• High energy and adaptability in a fast-paced environment

• Strong collaboration and a knowledge-sharing mindset

• Excellent time management and organizational skills

• High attention to detail, integrity, and ethical standards

• Willingness to learn and take on new challenges

Additional requirements

• May involve some international travel

• This position requires overlap with U.S. Pacific Time (PST) working hours. Candidates should be available and flexible to work from 2:00 PM to 11:00 PM IST.

• Strong hands-on experience with PCI audits, ISO 27001, NIST 800-171, FedRamp, SOC 2, and potentially IRAP is required.

To help your application stand out, please take time to answer the Job Application Questions below clearly and concisely. All submissions are reviewed by our Hiring Team, not evaluated by AI.

(REQ ID: 2760)

Responsibilities

We are looking for an exceptional Senior GRC Analyst to join our growing team. In this role, you will lead compliance assessments for frameworks such as NIST 800-171, ISO 27001, NIST 800-53 (FedRAMP), PCI, MLPS and IRAP, while also driving broader security compliance efforts. The ideal candidate will use strong analytical, communication, and problem-solving skills to evaluate controls, identify gaps, and recommend improvements across security domains. You will also be responsible for:

• Lead and participate in both internal and external audits for frameworks including ISO 27001/27701, PCI-DSS, NIST 800-171, NIST 800-53 (FedRamp), and IRAP

• Experience using or exploring AI/automation tools to enhance, streamline, or scale Governance, Risk, and Compliance (GRC) processes and workflows

• Manage and oversee risk, compliance, and governance initiatives across teams

• Coordinate with process owners, control owners, auditors, and consultants to ensure findings are tracked and addressed

• Conduct risk assessments, security audits, and third-party/vendor risk reviews

• Review contracts to ensure security and compliance requirements are met

• Identify process gaps and recommend improvements to enhance the organization’s security posture

• Communicate risks and compliance requirements clearly to both technical and non-technical stakeholders

• Perform regular user access reviews

• Develop and track remediation plans for identified risks and issues

• Maintain and update the risk register

• Oversee vendor security assurance processes

• Collaborate with stakeholders to design and implement effective internal controls aligned with regulatory standards

• Support risk and security discussions across cross-functional teams

• Build strong working relationships across departments

• Take on additional responsibilities as needed

Requirements

Qualifications / Experience / Technical Skills

Please note that the working hours for this position are from 2:00 PM to 11:00 PM IST (overlap with U.S. Pacific Time required)

• 8+ years of experience in cybersecurity programs, audits, risk management, compliance, or remediation

• Experience working with cloud platforms such as AWS, Azure, or Google Cloud

• Proven ability to negotiate and prioritize risk remediation with internal stakeholders

• Bachelor’s degree in Information Systems, Computer Science, Information Security, or a related field

• Strong understanding of security controls, including cloud environments, firewalls, IDS/IPS, and vulnerability management

• Familiarity with NIST 800-171 and NIST Risk Management Framework (NIST 800-53)

• Experience auditing frameworks such as PCI-DSS, SOC 2, and ISO 27001/27701

• Relevant certifications (CISSP, CISA, PCI ISA, ISO, or similar) are preferred

• Ability to manage multiple priorities independently with minimal supervision

Soft Skills / Personal Characteristics

• Strong communication skills with the ability to translate compliance requirements into technical actions

• High energy and adaptability in a fast-paced environment

• Strong collaboration and a knowledge-sharing mindset

• Excellent time management and organizational skills

• High attention to detail, integrity, and ethical standards

• Willingness to learn and take on new challenges

Additional requirements

• May involve some international travel

• This position requires overlap with U.S. Pacific Time (PST) working hours. Candidates should be available and flexible to work from 2:00 PM to 11:00 PM IST.

• Strong hands-on experience with PCI audits, ISO 27001, NIST 800-171, FedRamp, SOC 2, and potentially IRAP is required.

To help your application stand out, please take time to answer the Job Application Questions below clearly and concisely. All submissions are reviewed by our Hiring Team, not evaluated by AI.

(REQ ID: 2760)

Responsibilities

We are looking for an exceptional Senior GRC Analyst to join our growing team. In this role, you will lead compliance assessments for frameworks such as NIST 800-171, ISO 27001, NIST 800-53 (FedRAMP), PCI, MLPS and IRAP, while also driving broader security compliance efforts. The ideal candidate will use strong analytical, communication, and problem-solving skills to evaluate controls, identify gaps, and recommend improvements across security domains. You will also be responsible for:

• Lead and participate in both internal and external audits for frameworks including ISO 27001/27701, PCI-DSS, NIST 800-171, NIST 800-53 (FedRamp), and IRAP

• Experience using or exploring AI/automation tools to enhance, streamline, or scale Governance, Risk, and Compliance (GRC) processes and workflows

• Manage and oversee risk, compliance, and governance initiatives across teams

• Coordinate with process owners, control owners, auditors, and consultants to ensure findings are tracked and addressed

• Conduct risk assessments, security audits, and third-party/vendor risk reviews

• Review contracts to ensure security and compliance requirements are met

• Identify process gaps and recommend improvements to enhance the organization’s security posture

• Communicate risks and compliance requirements clearly to both technical and non-technical stakeholders

• Perform regular user access reviews

• Develop and track remediation plans for identified risks and issues

• Maintain and update the risk register

• Oversee vendor security assurance processes

• Collaborate with stakeholders to design and implement effective internal controls aligned with regulatory standards

• Support risk and security discussions across cross-functional teams

• Build strong working relationships across departments

• Take on additional responsibilities as needed

Requirements

Qualifications / Experience / Technical Skills

Please note that the working hours for this position are from 2:00 PM to 11:00 PM IST (overlap with U.S. Pacific Time required)

• 8+ years of experience in cybersecurity programs, audits, risk management, compliance, or remediation

• Experience working with cloud platforms such as AWS, Azure, or Google Cloud

• Proven ability to negotiate and prioritize risk remediation with internal stakeholders

• Bachelor’s degree in Information Systems, Computer Science, Information Security, or a related field

• Strong understanding of security controls, including cloud environments, firewalls, IDS/IPS, and vulnerability management

• Familiarity with NIST 800-171 and NIST Risk Management Framework (NIST 800-53)

• Experience auditing frameworks such as PCI-DSS, SOC 2, and ISO 27001/27701

• Relevant certifications (CISSP, CISA, PCI ISA, ISO, or similar) are preferred

• Ability to manage multiple priorities independently with minimal supervision

Soft Skills / Personal Characteristics

• Strong communication skills with the ability to translate compliance requirements into technical actions

• High energy and adaptability in a fast-paced environment

• Strong collaboration and a knowledge-sharing mindset

• Excellent time management and organizational skills

• High attention to detail, integrity, and ethical standards

• Willingness to learn and take on new challenges

Additional requirements

• May involve some international travel

• This position requires overlap with U.S. Pacific Time (PST) working hours. Candidates should be available and flexible to work from 2:00 PM to 11:00 PM IST.

• Strong hands-on experience with PCI audits, ISO 27001, NIST 800-171, FedRamp, SOC 2, and potentially IRAP is required.

To help your application stand out, please take time to answer the Job Application Questions below clearly and concisely. All submissions are reviewed by our Hiring Team, not evaluated by AI.

(REQ ID: 2760)

Role 

We are looking for an Analyst Workforce Management to join our team. This is a hybrid role based in Zscaler office location in Bangalore, reporting to the Director Workforce Management in the Workforce Management Department. The primary objective is to drive operational efficiency by translating complex historical data into actionable strategies. This ensures that service level agreements (SLAs) are met without over-investing in idle resources.

What you’ll do (Role Expectations)

• Deliver precise demand forecasting to align operational capacity with business needs
• Develop and maintain capacity modeling to ensure optimal resource allocation
• Execute trend analysis and contingency planning to proactively mitigate service risks
• Partner with stakeholders to drive continuous improvement and operational excellence
• Optimize operational performance to balance service delivery with cost efficiency

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes.

What We’re Looking for (Minimum Qualifications)

• Minimum 4–5 years of Workforce Management experience, including at least 2 years of proven expertise in forecasting & capacity planning
• Proficiency with WFM tools such as Genesys, NICE, or Aspect, or equivalent statistical software
• Strong understanding of quantitative methods including moving averages, exponential smoothing, and regression analysis
• Professional experience in workforce management, supply chain, or operations management
• Advanced skills in Microsoft Excel and data visualization tools like Tableau or Power BI

What Will Make You Stand Out (Preferred Qualifications)

• Bachelor’s degree in Statistics, Business, Information Technology, or Operations Management
• Proactive and detail-oriented approach to identifying and solving complex capacity constraints
• Ability to synthesize complex data into clear recommendations for executive leadership

#LI-HG1

#LI-Hybrid

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. 

The Senior Total Rewards Analyst serves as the analytical engine of our Total Rewards team, translating complex data into clear, actionable insights that inform how we pay, reward, and retain talent. This role partners closely with Compensation, Benefits, Finance, Equity Administration, and Payroll to ensure our pay practices are competitive, equitable, and aligned with business strategy. You’ll go beyond reporting, using data to identify trends, generate insights, and influence decisions that drive business outcomes. If you have a passion for precision, a knack for storytelling through data, and a deep interest in the "why" behind employee pay, this is your playground.

Work Mode: Hybrid (2 days in office per week)

Work Hours: General timings (9 AM to 6 PM IST, but open to work few US overlap hours late evening (7:00 PM to 9:30 PM IST))

A day in the life (Responsibilities) 

• Market and Internal Benchmarking: Conduct comprehensive market pricing, participate in annual salary surveys (e.g., Radford, Compa, Pave), and perform internal compensation reviews to develop data-driven recommendations for compensation bands and individual roles.
• Advanced Compensation Analytics & Automation: Modernize compensation delivery by transforming raw HRIS data into actionable insights using AI, automation, and advanced data visualization. This includes building executive-level dashboards (tracking metrics like position in range, turnover, and promotion velocity) and modeling market trends to streamline reporting and enhance decision-making.
• Data Integration & Reporting Infrastructure: Build and maintain scalable datasets and dashboards (e.g., Workday, Sigma, Snowflake) to support compensation decision-making. Integrate data across Compensation, Equity, and Payroll systems to deliver a cohesive view of pay outcomes. Improve data quality, reporting efficiency, and accessibility of insights for stakeholders.
• AI Transformation: Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up. In this role, you'll blend analytical rigor with creative problem-solving — using tools like AI, automation, and advanced data visualization to modernize how we deliver compensation insights.
• Merit & Bonus Cycle Infrastructure: Build and manage the infrastructure for annual compensation reviews, including creating budget models, manager-facing tools, and cycle analytics.

What you'll need to thrive (Requirements)

• Bachelor’s Degree required, with a focus in Human Resources, Business Administration, or Finance preferred.
• 4 to 7 years of directly related experience, including compensation and/or data analytics.  Experience working in a multinational organization and/or in a technology industry, a plus.
• Ability to manage and analyze large volumes of data using a variety of systems and applications. Experience using Snowflake, Workday, Sigma, a plus. 
• Ability to perform regression analysis and predictive modeling.
• Demonstrated ability to work effectively in a fast-paced, dynamic environment.
• In-depth understanding of regulations and requirements under FLSA, multi-state pay equity laws, and other areas of compensation compliance.
• Outstanding communication and interpersonal skills with the ability to work effectively within teams.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-HYBRID

The Challenge 

OneTrust is seeking a Support Analyst to join our professional services team. The Support Analyst will provide ongoing product support, troubleshooting, and pragmatic solutions for the most complex and critical issues that OneTrust customers face. This position requires an outgoing, confident individual with excellent verbal and written communication skills, advanced troubleshooting skills, and an understanding of the OneTrust platform (and related technologies where appropriate). 

Your Mission 

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will:

• Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights.
• Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders.
• Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives.
• Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions.
• Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function.
• Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques.
• Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies.
• Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities.

Skills and Experience:

If this opportunity looks right for you, we are looking for candidates who have:

• Bachelor’s degree in computer science, Information Technology, Engineering or related field.
• 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring.
• Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker).
• Proficiency in SQL, Excel, and Python/R
• Expert in data visualization and storytelling; able to craft compelling narratives that drive action.
• Experience in a commerce media or digital marketing agency is a plus.
• Excellent problem-solving, communication, and project management skills.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

POSITION SUMMARY

Join us in a high-impact role to drive growth at EarnIn. This function plays a critical role in how we use analytics to inform our business & product priorities, drive data-backed experiments, deliver value across the consumer lifecycle, and measure performance to optimize future decisions. You will work closely with our product and engineering teams to establish end-to-end measurement & reporting, implement rigorous testing methodologies, and drive strategic analyses.

This position will be hybrid, based in our Bengaluru office (HSR Layout), as part of our expanding site, with two days a week required in the office. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position.  

WHAT YOU'LL DO

• Drive strategic analyses that identify key opportunities to improve the core product experience for EarnIn’s customers
• Partner with the Product and Engineering teams to design and run experiments 
• Upgrade EarnIn’s experimentation stack by implementing tools such as Sequential Testing, Bayesian testing, and CUPED
• Partner with the Machine Learning Engineering team to design and build models that form the core of EarnIn’s core product
• Monitor & proactively surface/troubleshoot any problems across the key business metrics & drive resolution of these issues

WHAT WE'RE LOOKING FOR 

• 7+ years of experience in product analytics/data science in a B2C role
• Product sense and intuition to drive impact on the business and customer experience
• Experience designing, running, and interpreting experiments. 
• Expert skillset in SQL and experience with Python or R
• Practical knowledge of state-of-the-art experimentation tools such as Sequential Testing, Champion/Challenger, CUPED, etc.
• Practical knowledge of machine learning techniques
• Ability to extract insights from large data sets & seamlessly translate into actionable recommendations across the consumer journey
• Ability to establish and maintain excellent processes while allowing for creative thinking and flexibility in ambiguous situations
• Curiosity and passion for deeply understanding analytical problems and translating this to stakeholders
• Experience in Fintech is a bonus

#LI-Hybrid

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
 

As Senior Analyst in our Model Risk Management team, you will help manage the Model Risk Program including completing model validation reviews, maintaining the model risk inventory, and monitoring model performance particularly for Fraud and Gen AI Models. You will work closely with the Data Science Team, architects, engineers and product managers to assess the risk of model design, implementation, and use across product lines.

A day in the life (Responsibilities) 

• Support the implementation and day-to-day execution of the Second Line of Defense (2LOD) Model Risk Management (MRM) program for high-risk models, with particular focus on Fraud detection models (Transaction Fraud & Merchant Fraud) and Generative AI / LLM-based systems deployed across Toast.
• Assist in maintaining and enhancing the Model Risk Management framework, including policies, procedures, validation standards, governance documentation, templates, and best practices aligned with evolving regulatory and industry expectations.
• Enforce model lifecycle standards across development, implementation, use, monitoring, recalibration, change management, governance, and decommissioning, ensuring appropriate controls for traditional ML models as well as GenAI systems (e.g., RAG architectures, copilots, AI-assisted decision tools).
• Contribute to the development, risk-tiering, and ongoing maintenance of a comprehensive model inventory, including assessment of model impact, intrinsic risk (complexity and methodology), reliance on model outputs, and emerging AI-specific risks.
• Perform independent model validation reviews under the guidance of senior leadership, covering conceptual soundness, data integrity, model methodology, performance metrics (e.g., AUC, precision/recall, calibration), stability, bias/fairness risk, explainability, and monitoring frameworks. Produce validation reports and track issue remediation plans through closure.
• For Fraud models, evaluate class imbalance handling, threshold optimization, cost-sensitive performance metrics, operational overlays, rule-based controls, and portfolio-level impact analyses.
• For Generative AI systems, validate systems and evaluate risks related to hallucination, prompt injection, adversarial vulnerabilities, data privacy and leakage, model explainability limitations, bias, guardrails, output monitoring, jailbreak testing, regression testing, and human-in-the-loop controls.
• Partner with Data Science, Data Engineering, Product/Engineering, Information Security, Legal/Compliance, Finance, Credit Risk and Business teams to obtain documentation, perform effective challenge, conduct validation and oversee performance monitoring
• Prepare reports and executive materials summarizing model risk issues, validation findings, monitoring insights, and remediation status for leadership review, risk committees, audit committees, and internal audit engagements.
• Research and stay informed on industry developments in fraud analytics, machine learning, Generative AI governance, and regulatory guidance (e.g., SR 11-7, OCC 2011-12, NIST AI RMF). Propose enhancements to strengthen Toast’s Model Risk and AI Governance framework.
• Contribute to the development of model risk training materials and support delivery of training sessions to key stakeholders to enhance awareness of fraud model risk and AI-related risks.
• Support ad-hoc initiatives related to model risk governance, AI oversight, regulatory compliance, and enterprise risk management enhancements.

What you'll need to thrive (Requirements)

• Advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline
• 5+ years of relevant industry experience in Model Risk Management, Model Validation, Data Science, or Machine Learning within fintech, banking, payments, technology, or consulting environments, with exposure to fraud analytics, credit risk, or AI/ML model governance.
• Strong understanding of machine learning methodologies and statistical foundations, including model development, validation techniques, performance evaluation, calibration, and stability analysis.
• Hands-on experience with fraud detection models (e.g., transaction monitoring, chargeback prediction, merchant risk scoring) and familiarity with concepts such as class imbalance handling, threshold optimization, precision/recall trade-offs, and cost-sensitive evaluation.
• Familiarity with Generative AI and LLM-based systems (e.g., RAG architectures, embeddings, prompt engineering, AI copilots) and awareness of associated risks such as hallucination, bias, prompt injection, and data leakage.
• Strong proficiency in Python and SQL; experience with data science and ML tools such as Spark, scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Familiarity with software engineering best practices (version control, CI/CD, testing frameworks, Airflow, AWS or cloud platforms) is a plus.
• Knowledge of model risk management frameworks and regulatory guidance (e.g., SR 11-7, OCC 2011-12) and familiarity with emerging AI governance frameworks (e.g., NIST AI RMF) is highly desirable.
• Ability to translate complex quantitative methodologies into clear business insights and effectively challenge first-line model development teams while maintaining strong cross-functional partnerships.
• Demonstrated critical thinking, analytical rigor, and structured problem-solving skills, with the ability to manage multiple priorities and deliver high-quality outputs under tight deadlines.
• Excellent written and verbal communication skills, including experience drafting formal validation reports, executive summaries, and committee-level materials.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Scopely is looking for a Data Analyst to join Bingo Bash team in Bangalore on a hybrid basis!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Bingo Bash is a highly international team working on the biggest video game from India to date (measured by revenue).  Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players..

What You’ll Do 

• Work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization using statistical techniques & provide reports
• Design and implement new analytics events and queries for new game features, game events and player offers, to make sure the team gets the information they need to evaluate and improve the game
• Proactively perform a wide range of analyses to identify/analyze/interpret trends, issues, and opportunities across games and perform competitor analysis
• Answer business-related questions & generate business reports through exploratory data analyses and ad-hoc reporting
• Design and implement advanced statistical testing for specific problem-solving needs(e.g. A/B testing)

What We’re Looking For 

• B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
• 2+ years of overall experience in a data analyst, financial analyst, scientist or similar role performing quantitative, statistical or financial analysis
• 2+ years’ experience using SQL/Python, including complex queries from multiple data sources
• 2+ years’ experience creating reports using Tableau/Looker or a similar reporting system
• Experience creating, operating and analyzing multiple simultaneous A/B tests
• Excellent analytical and problem-solving skills, including forecasting and performance marketing analysis
• Strong communication and presentation skills, including extensive use of chart and table tools
• Passion for speed and large data sets

Bonus Points 

• Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making.
• Advanced degrees a plus
• 2+ years within the mobile gaming domain
• Strong statistical background
• Experience with R, SAS, SPSS, Matlab or other statistical modeling packages
• Had experience of onboarding/early funnel analysis 

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employmentopportunities and welcome individuals from all backgrounds to join us & embrace the Adventure!

Senior Process Improvement Analyst 

Summary

The Senior Process Improvement Analyst (Senior Accounts Payable Analyst) is a dedicated process improvement role reporting directly to the Director of Accounts Payable, with a primary focus on driving continuous improvement across Accounts Payable and the end‑to‑end Procure‑to‑Pay (P2P) lifecycle.

This role partners closely with AP leadership and cross‑functional stakeholders (Procurement, Treasury, IT, Tax, and Finance) to identify opportunities for automation, standardization, and process optimization that reduce manual effort, improve accuracy, and enhance scalability.

Leveraging tools such as Oracle Fusion (OTBI), advanced Excel, AI‑enabled solutions, and the Microsoft Power Platform, the analyst designs, develops, and leads data‑driven process improvement initiatives across invoice intake, approvals, matching, payments, supplier maintenance, and reporting.

This position serves as a functional bridge between AP operations and enabling technologies, with accountability for automation enablement, analytics, and continuous improvement—rather than day‑to‑day transactional processing—supporting a modern, scalable, and audit‑ready AP function.

Key Responsibilities

• Analyze end‑to‑end Accounts Payable and Procure‑to‑Pay processes to identify inefficiencies, risks, and opportunities for improvement.
• Lead and implement process improvement initiatives that reduce manual effort, improve accuracy, and enhance scalability.
• Analyze KPIs, exception trends, volume drivers, and operational data to recommend data‑backed, sustainable process enhancements.
• Develop and maintain reporting and dashboards, including OTBI reports and ad‑hoc analyses, to support AP operations and leadership decision‑making.
• Support and implement automation initiatives, including AI‑enabled solutions, workflow automation, and Microsoft Power Platform tools (Power BI, Power Automate, Power Apps).
• Support documentation of current‑state and future‑state processes, SOPs, and controls.
• Assist with change management efforts, including UAT, communication, training, and adoption of new tools and processes.
• Monitor post‑implementation results to ensure expected benefits and continuous optimization.

Required Qualifications

• 6–8 years of progressive experience in Accounts Payable, Procure‑to‑Pay, Shared Services, or related finance operations, with demonstrated ownership of process improvement initiatives.
• Strong understanding of AP operations, including invoice processing, exception handling, approvals, and payments.
• Experience supporting or implementing automation and AI‑enabled processes.
• Advanced Excel skills with strong analytical and problem‑solving capabilities.
• Experience developing reports, metrics, and dashboards for operational and leadership audiences.
• Proven ability to translate data insights into actionable process recommendations.
• Strong communication skills with the ability to partner with both technical and business stakeholders.

Preferred Qualifications

• Experience with Oracle Fusion ERP and OTBI reporting.
• Experience with Microsoft Power Platform tools (Power BI, Power Automate, Power Apps).
• Background in process improvement methodologies (Lean, Six Sigma, or similar).
• Experience supporting global or multi‑entity AP environments.

Key Competencies

• Process orientation and continuous improvement mindset
• Data‑driven decision making
• Automation and technology aptitude
• Stakeholder collaboration and influence
• Attention to detail with a focus on scalability and controls

We are one of the fastest growing startups in FinTech. We are a digital asset brokerage delivering best-in-class pricing and execution capabilities for institutional traders and investors. Our vision is to grow the digital asset ecosystem 1000X with industry-leading prime brokerage solutions. 

Who is on the team? 

We are entrepreneurs. More than half of us have experience founding a company. We come from leading institutions including Google, LinkedIn, JUMP, Citadel, Goldman Sachs, Harvard Business School, Carnegie Mellon, IIT + more. We are backed by some of the best investors in the world including Accel Partners, Flybridge Capital, Lightspeed Venture Partners. 

Impact 

At FalconX, you’ll help make crypto assets a successful asset class. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights on the crypto industry. You will become the expert on crypto industry trends and market movements. With your experience, you will shape our company’s trading strategies according to our core values - speed, transparency and trust. 

Role Overview

As a Quant Developer, you will build and scale the core systems powering our trading and risk infrastructure. This role sits at the critical intersection of quantitative research, trading, and high-performance engineering. You will be responsible for the architectural integrity of our derivatives pricing engines and execution systems, ensuring that complex mathematical models are translated into robust, production-grade code.

You will work directly with Traders and Quants to enable efficient pricing, execution, and real-time risk management across global markets.

What You’ll Do

• High-Performance Engineering: Design and implement low-latency systems for real-time trading and derivative pricing.

• Pricing & Analytics: Build and enhance pricing libraries for complex and exotic instruments, including volatility modeling and correlation structures.

• Execution Systems: Develop sophisticated execution algorithms and optimize order routing and the full trade lifecycle.

• Model Implementation: Collaborate with Quants to translate advanced mathematical models into scalable, numerically stable code.

• Risk & Attribution: Contribute to core risk systems, focusing on real-time metrics, PnL attribution, and complex scenario analysis.

• Data Infrastructure: Improve high-throughput data pipelines for large-scale market data and historical backtesting.

• Complex Problem Solving: Solve challenges across numerical methods, optimization, and distributed systems in a high-stakes environment.

What We’re Looking For

• Education: Degree in Computer Science, Mathematics, Physics, or a related quantitative field.

• Technical Stack: Expert-level Python skills; professional experience with a performance-critical language (C++, Rust, or Java) is highly preferred.

• CS Fundamentals: A deep understanding of data structures, algorithms, and high-performance system design.

• Quantitative Foundation: Solid grasp of probability, statistics, and numerical methods (e.g., Monte Carlo, Finite Difference).

• Domain Expertise: Practical familiarity with derivatives pricing (Options, Futures, Swaps) and financial market mechanics.

• Systems Experience: Proven ability to build distributed systems and data-intensive applications that handle high concurrency.

• Engineering Rigor: Ability to write clean, efficient, and production-quality code with a focus on testing and numerical accuracy.

• Soft Skills: A first-principles thinker and effective communicator who thrives in fast-paced, iterative trading environments.

Nice to Have

• Experience with exotic derivatives (correlation products, structured products).

• Exposure to advanced volatility modeling and market microstructure.

• Hands-on experience with numerical optimization and PDE solvers.

• Prior experience in Crypto, HFT, or low-latency trading environments.

• Familiarity with frontend tools (React) for building internal trading and risk dashboards.
  
  
  

About AQR Capital Management  

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most,and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies with more than 125 Bn$ of asset under management.AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.

Technology is central to AQR’s success. As a Team Lead Software Engineer in Portfolio Implementation, you will combine deep hands-on technical contribution with responsibility for leading engineers, owning critical systems, and delivering on firmwide objectives. Reporting to an MD-level manager, you will set technical direction, drive execution, and ensure the team consistently delivers high-quality, reliable systems that support AQR’s investment process.

Your Role:

As a Team Lead Software Engineer in Portfolio Implementation, you will have end-to-end responsibility for both technical outcomes and team execution, including:

•Owning critical portfolio implementation systems and services, with accountability for reliability, performance, and long-term evolution
•Leading architectural design for high-performance, high-volume, highly available systems, making informed trade-offs across performance, flexibility, and maintainability
•Remaining hands-on in design and implementation, contributing meaningful production code and setting technical standards by example
•Leading and coordinating teams of engineers, potentially organized into multiple sub-teams, with responsibility for delivery across a group of engineers, including planning, prioritization, and execution across multiple workstreams
•Driving delivery of large, cross-team initiatives aligned with firmwide objectives and timelines
•Leading requirements gathering and specification, translating business and investment needs into clear technical plans
•Breaking down complex initiatives into well-scoped workstreams, with realistic sequencing and dependencies
•Driving estimation and delivery planning, balancing scope, risk, and available resources
•Ensuring alignment between resource forecasting and delivery commitments, adjusting plans as priorities evolve
•Ensuring strong engineering practices across the team, including code quality, design reviews, testing standards, and operational readiness
•Coaching and mentoring junior and mid-level engineers, ensuring they understand and apply best practices in software development
•Partnering closely with portfolio managers, researchers, and platform teams to align technical solutions with investment needs
•Reporting progress, risks, and delivery status clearly and proactively to MD-level leadership
•Identifying and addressing process gaps, technical debt, and operational risks across owned system

What You’ll Bring:

•Degree in Computer Science or a related technical field
•10+ years of professional software engineering experience, with deep expertise in Java
•Strong experience using Python in production or research-adjacent environments
•Proven track record of owning and operating complex, distributed systems in production
•Experience with microservice-based architectures using technologies such as Java, Elasticsearch, Redis, RabbitMQ / AMQ, and relational databases (e.g., PostgreSQL, MS SQL Server)
•Demonstrated ability to lead teams while remaining technically hands-on
•Strong understanding of engineering best practices, including code quality, testing strategies, CI/CD, design documentation, and operational excellence
•Experience operating, tuning, and profiling high-performance systems
•Experience with observability and monitoring platforms (e.g., New Relic) and using metrics to drive reliability and performance
•Strong experience in requirements capture, technical specification, and work breakdown for complex systems
•Proven ability to estimate effort, plan delivery, and manage trade-offs across scope, timeline, and resources
•Solid understanding of how resource planning, capacity, and delivery execution interrelate in a multi-team environment
•Interest in financial markets and the investment process; hands-on domain knowledge in this area is a strong plus but not required

Who You Are:

•A hands-on technical leader who takes ownership of systems, processes, and outcomes
•Comfortable driving delivery through others, setting clear direction and holding teams accountable
•Able to operate effectively with MD-level stakeholders, providing clear status, risks, and trade-offs
•Skilled at balancing short-term delivery with long-term system health
•Committed to developing engineers through mentoring, feedback, and example
•Collaborative, pragmatic, and decisive in complex environments
•Committed to intellectual integrity, transparency, and openness    

Black Duck is seeking a Senior Data Governance Analyst to ensure the accuracy, consistency, and integrity of customer and sales data across Salesforce and related go‑to‑market systems. This role operates as a senior professional individual contributor responsible for executing and applying established data governance standards, resolving complex data issues, and supporting the ongoing health of account, contact, lead, and opportunity data. 

The role requires deep practical knowledge of Salesforce data structures, GTM processes, and downstream impacts to territory alignment, quotas, renewals, forecasting, and reporting. The Senior Data Governance Analyst works independently within defined governance frameworks, applies judgment to non‑standard cases, and partners closely with Sales Operations, Marketing, Finance, Customer Success, and Systems teams to ensure trusted data across the organization. 

Key Responsibilities 

• Execute Account Data Governance Standards- Independently manage account data validation, enrichment, and maintenance activities in Salesforce. Apply established data rules to ensure required fields, enrichment attributes, and structural standards are consistently maintained across accounts to support sales execution and reporting accuracy. 

• Account Enrichment & Exception Handling- Perform account enrichment using third‑party data providers (e.g., zoominfo) and resolve enrichment exceptions related to mismatched company names, websites, addresses, industries, or employee counts. Identify root causes of enrichment failures and apply corrective actions within defined governance guidelines. 

• Account Hierarchy & Deduplication- Maintain accurate account hierarchies by applying Domestic Ultimate and Global Ultimate logic. Identify, validate, and merge duplicate account records using established criteria, ensuring preservation of customer history, identifiers, and hierarchy integrity. Support M&A‑driven merges following documented cross‑functional review processes. 

• Territory & Ownership Data Support- Execute territory designation, segmentation, and ownership updates based on approved GTM rules. Validate that ownership or territory changes do not negatively impact active revenue, renewals, quota alignment, or hierarchy consistency, escalating exceptions as required. 

• Contact & Lead Data Integrity- Apply governance rules for contact and lead maintenance, including account association, ownership updates, merges, and email change handling. Ensure compliance with data privacy and consent requirements while maintaining clean, accurate contact and lead data for sales and marketing execution. 

• Opportunity Data Quality Support- Support opportunity data hygiene by validating opportunity business types, renewal alignment to active customer accounts, and deletion requests. Ensure related opportunity teams remain aligned following account or ownership changes. 

• Data Governance Case Resolution- Independently manage and resolve inbound Data Governance cases submitted through Salesforce or the DG mailbox. Apply governance standards consistently, assess non‑routine requests, communicate outcomes clearly, and document decisions for auditability and repeatability. 
• Continuous Process Improvement- Identify recurring data quality issues, operational gaps, or inefficiencies within existing governance processes. Provide recommendations for process improvements, documentation updates, or automation opportunities to senior team members and functional partners. 

Qualifications and Skills 

• 6+ years of experience in Sales Operations, Data Governance, CRM operations, or data quality‑focused roles.  

• Strong hands‑on experience with Salesforce (Accounts, Contacts, Leads, Opportunities), including data maintenance, validation, and bulk updates.  

• Solid understanding of account hierarchies, territory models, ownership rules, and GTM data dependencies.  

• Experience working with data enrichment tools (e.g., D&B, ZoomInfo etc) and resolving enrichment discrepancies.  

• Advanced proficiency in Excel and comfort using tools such as Salesforce Inspector, data Loader or similar utilities.  

• Strong written and verbal communication skills, with the ability to explain governance decisions to cross‑functional stakeholders.  

• Approaches work with a process‑driven and ownership mindset, ensuring decisions are audit‑ready, repeatable, and aligned to GTM and DG guidelines.  

• Highly diligent and disciplined professional with strong attention to detail and a consistent focus on data accuracy and governance standards.  

• Demonstrates strong problem‑solving skills, able to analyze complex, non‑standard data issues and apply judgment within established governance frameworks.  

• Maintains a positive and collaborative attitude, even when dealing with complex escalations, tight deadlines, or cross‑functional dependencies.  

• Graduate, with a solid academic foundation supporting analytical thinking, structured problem solving, and professional rigor. 

THE ROLE

We are seeking a highly skilled and motivated Workday Analyst with expertise in Time & Absence and Core HCM to join our HR Technology team. In this role, you will play a pivotal part in optimizing and enhancing our Workday system to support the organization’s workforce strategies.While Workday is our primary HRIS platform, we leverage ServiceNow for ticket management, Jira for project tracking, and Confluence as our HR team’s wiki page. We also integrate Workday with other vendor systems to ensure seamless end-to-end HR processes and a comprehensive HR technology ecosystem. You understand Workday’s capabilities and limitations and are confident in recommending alternatives when needed, whether through other vendor solutions or full-stack development options. The ideal candidate is a seasoned, experienced professional with a deep understanding of Time & Absence processes, strong problem-solving skills, and a passion for delivering innovative HR solutions. This role requires judgment in selecting the right methods and techniques, strong collaboration with senior stakeholders, and the ability to work independently on diverse, complex challenges.

WHAT YOU'LL DO

Workday Configuration & Development

• Serve as the primary SME for Workday Time & Absence, designing, configuring, and implementing scalable solutions.
• Develop and maintain time tracking and absence plans, accruals, eligibility rules, and time-off frameworks that meet business and compliance needs across multiple geographies.
• Configure and enhance business processes, calculated fields, condition rules, and advanced reports specific to Time & Absence.
• Partner with HR teams to analyze business rules, local regulations, and translate them into accurate system configurations.
• Optimize business workflows by automating manual tasks, improving user experience, and delivering actionable insights through reporting and dashboards.
• Collaborate with payroll and HR operations to ensure seamless integration between Time & Absence, Core HCM, and other workday modules.

System Support & Enhancements

• Monitor system performance and resolve Time & Absence-related issues, including accrual discrepancies, leave calculations, and time-tracking errors..
• Ensure system compliance with security and data privacy requirements.
• Participate in Workday releases, assessing new features, and recommending adoption strategies for Talent Management modules.
• Partner with ServiceNow HRSD platform for intake, triaging, SLA adherence, and resolution tracking of Workday cases across all modules.

Collaboration & Training

• Work closely with HR, Payroll, IT, and cross-functional teams to deliver seamless processes and integrations.
• Provide end-user training, documentation, and knowledge articles to ensure adoption of Time & Absence tools.
• Act as the subject matter expert for Workday Core HCM functionality.

WHAT YOU BRING

• Bachelor’s degree in Computer Science, Information Systems, Human Resources, or a related field.
• Minimum of 5+ years of hands-on Workday configuration experience with strong focus on Time & Absence (including eligibility rules, accruals, absence plans, time tracking).
• Strong technical expertise in Workday configuration, including business processes, calculated fields, reporting, and integrations.
• Proven ability to gather requirements, analyze diverse business rules, and deliver scalable, compliant solutions.
• Experienced in Agile environments and tools such as ServiceNow and Jira.
• Hands-on experience with the ServiceNow HR Service Delivery platform, with strong knowledge of SLA management, ticket triaging protocols, and HR case handling.
• Strong problem-solving skills, with the ability to work independently and exercise sound judgment on diverse, complex issues.
• Excellent communication and stakeholder management skills, with the ability to collaborate effectively across HR, Payroll, and IT functions.
• Collaborate regularly with US-based teams and stakeholders, which might require working during late IST hours, to ensure smooth coordination and timely delivery of global initiatives

 #LI-ONSITE

THE ROLE

We are seeking a highly skilled and hands-on Senior Finance Data & Analytics Engineer (IC role) to lead the design and development of the Finance Data Cube, enabling enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other key financial metrics.

WHAT YOU'LL DO

• Design, build, and own the Finance Data Cube, integrating financial, customer, and operational datasets.
• Model data to support CLTV, Contribution Margin, and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.)
• Be a data architect for Finance , bring different data into cohesive and answer critical questions
• Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders.
• Scale data infrastructure to support large volumes and complex financial models.
• Build and manage Semantic Layer models to standardize business metrics and enable self-serve analytics
• Translate complex financial concepts and KPIs into scalable, maintainable data models.
• Implement strong controls for data quality, lineage, and governance.
• Maintain clear documentation of data transformations, metric definitions, and AI model logic.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Experience: 8+ years in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI/ML-based analytics(added advantage)
• Proficiency with Snowflake and modern data stacks with strong SQl and data modeling expertise 
• Deep understanding of finance data set , SAP , Contribution margin, CLTV would be an added advantage
• Experience with data orchestration tools (Airflow, dbt) and tableau platform
• Hands-on experience with Python, PySpark, or R for automation and model integration.
• Proven ability to translate financial logic into scalable data models.
• Experience in Cortex Analyst/Search components to enable AI/ML-driven insights, natural language querying, and intelligent data discovery is preferred. 
• Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics.
• Ability to evaluate and apply AI responsibly in financial contexts.

 #LI-ONSITE

THE ROLE

Pure is seeking a Senior Content Writer with strong enterprise infrastructure expertise to join the Global Value Management team.

This role is responsible for developing high-quality, reusable, modular written content that enables the creation of compelling, enterprise-grade value propositions, proactive proposals and supporting technical, operational and commercial documentation.

You will apply your understanding of enterprise infrastructure architectures to synthesize complex technical, operational and commercial inputs from Product, Engineering, Value Consultants, Competitive Intelligence, CX, Partners and Sales into clear, structured customer narratives that articulate the business value of Pure solutions.

As the primary content writer within the team, you will help create and maintain the global master content library that underpins scalable proposal creation. You will enforce written content standards, ensuring outputs are governed, reusable and aligned to established messaging and quality standards.

WHAT YOU'LL DO

Build & Maintain Reusable Content

• Own writing of defined technical, operational and financial value levers for Pure solutions.
• Develop reusable modular components at multiple levels of detail (executive summary, standard narrative, detailed technical content). 
• Create persona and industry aware variations of core narrative where required.
• Consume and adapt existing Pure content (case studies, product documentation, analyst endorsements, services materials) for structured proposal use. 
• Maintain and evolve global master content in alignment with roadmap priorities and release cycles.

Technical and Value Writing

• Translate technical, operational and financial inputs into clear value narratives.
• Compile and synthesize inputs from cross-functional SMEs into customer-ready outputs.
• Independently engage SMEs to validate accuracy and secure approval.
• Balance technical credibility with executive-level clarity.

Proposal Content Building

• Develop best practice placeholder content for: Value propositions, Proactive proposals and Technical/operational/commercial Appendices
• Ensure content demonstrates strong narrative flow, clarity and business value articulation.
  
  

Support Select Engagements

• Participate in select live proposal engagements to refine standards and identify reusable content opportunities.
• Contribute written content for strategic proactive proposals where required.
  
  

Standards & Quality

• Co own content standards & contribute to QA processes and structured release management for written content.
• Establish clear stakeholder communication and approval protocols.
• Ensure all outputs adhere to messaging, quality and governance requirements.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

Infrastructure & Technical Knowledge

• Strong knowledge of enterprise infrastructure technologies, with demonstrated experience writing about one or more of the following domains: (Enterprise storage (block, file, object), Compute and virtualization platforms, Hybrid cloud architectures, Data center, Infrastructure operations)
• Ability to confidently engage technical SMEs and interpret architectural and operational concepts.
• Experience synthesizing financial concepts into simple narrative form (taking input from SME’s not expected to have financial experience). 
• Comfort navigating multi solution portfolios and articulating integrated solution value.

Writing Expertise

• Exceptional written English skills, with the ability to produce precise, polished, executive ready content.
• Significant experience writing technical, solution or value-based content in an enterprise IT environment.
• Demonstrated ability to translate complex technical, operational and commercial inputs into clear, customer facing narrative.
• Experience building reusable, modular content or structured proposal components.
• Strong executive writing skills, including development of compelling summaries and structured appendices.

Process & Collaboration

• Proven ability to work cross functionally with Product, Sales, Marketing, Engineering and Services teams. 
• Experience independently driving SME engagement, review cycles and approvals.
• Strong version control, content lifecycle and revision management discipline.

Preferred:

• Experience supporting enterprise sales or value selling motions.
• Familiarity with proposal development and business case articulation.
• Exposure to modular content systems or AI enabled content tools.
• Experience operating in global organizations with standardized messaging frameworks.

#LI-ONSITE

The Technical Success Manager Lead will oversee and guide a team of Technical Success Managers while directly contributing to strategic customer engagements. This role will be pivotal in aligning customer needs with ABBYY’s solutions to maximize value realization. As a leader, you will ensure best practices in technical success and foster a culture of customer-centric innovation. 

Roles & Responsibilities 

Leadership & Team Management: 

• Lead, mentor, and support a team of Technical Success Managers, ensuring alignment with company goals and customer success objectives.
• Establish frameworks and processes for value discovery and delivery, ensuring consistency across customer engagements.
• Serve as an escalation point for complex customer challenges, collaborating with internal teams to resolve issues promptly.

Strategic Customer Engagement: 

• Conduct high-level value discovery sessions with strategic accounts, ensuring customer goals and business objectives are clearly defined and met.
• Build and maintain strong relationships with executive-level stakeholders in customer and partner organizations.
• Collaborate with account managers, pre-sales teams, and other technical leaders to deliver seamless customer experiences and drive adoption.

Process Improvement & Innovation: 

• Identify opportunities to streamline customer success processes and introduce scalable, repeatable frameworks for customer engagement.
• Advocate for customer needs within ABBYY, driving initiatives to enhance product capabilities and customer satisfaction.
• Develop and refine success metrics to measure team performance and customer outcomes.

Enablement & Advocacy: 

• Design and implement training programs for customers and partners to promote product adoption and success.
• Lead initiatives to gather, analyze, and act on customer feedback to improve products and services.
• Drive customer advocacy efforts, including case studies, references, and success stories.

Operational Excellence: 

• Monitor and manage team workloads, ensuring efficient delivery of customer success projects.
• Analyze customer usage patterns, adoption trends, and churn risks to guide proactive engagement strategies.
• Report regularly to senior leadership on team performance, customer health, and strategic insights.

Requirements 

Experience & Skills: 

• 7+ years in a customer-facing technical role (e.g., Pre-Sales, Professional Services, Technical Account Management), with at least 3 years in a leadership capacity.
• Proven experience in SaaS environments, with a deep understanding of subscription-based business models.
• Expertise in technologies such as OCR/ICR, Intelligent Document Processing, Enterprise Automation, RPA, ECM, BPM, or Process Mining.

Leadership Qualities: 

• Strong track record of building and leading high-performing teams in customer success or related disciplines.
• Exceptional communication and interpersonal skills, with the ability to engage diverse stakeholders, from technical teams to executives.
• Demonstrated ability to drive alignment across departments and manage competing priorities effectively.

Technical Acumen: 

• Strong ability to bridge the gap between technology and business, translating customer needs into actionable solutions.
• Experience with software implementation, technical troubleshooting, and delivering enterprise-scale solutions.
• Proficiency with analytics platforms and advanced skills in MS Office Suite or similar tools.

Soft Skills: 

• A proactive problem solver with a customer-first mindset and a strong sense of ownership.
• Excellent project management and prioritization skills, capable of overseeing multiple high-impact initiatives simultaneously.
• Comfortable working in a fast-paced, dynamic environment with changing priorities.

Here's a snapshot of our local benefits:

• 18 Days of Paid Time Off Annually
• Medical, Accidental, and Life Insurance
• Weekly Wellness Sessions
• Monthly Healthcare Allowance

#LI-MM1

Rubrik has become the fastest growing enterprise in Silicon Valley.  We are seeking a passionate and highly driven individual to join a driven, fun and talented Sales Operations team!  This team is integral to the success of the sales organization by helping to drive revenue, predictable growth, and sales productivity. This is a full-time position located in India (with proximity to Bangalore office).

Where you can make an impact:

• Support the sales teams with CRM operations including quoting, account ownership transfers, opportunity updates and other critical functions
• Facilitate system access for sales representatives through established onboarding & offboarding processes (SFDC, Clari, Tableau, etc.)
• Work with cross-functional teams (Order Mgmt., Deal Desk, Finance, Sales Management and Product Ops.) to drive accurate and timely reporting and communication
• Serve as the Field Sales point of contact for general inquiries and process guidance 
• Support the preparation of Quarterly Business Reviews 
• Take ownership of ad hoc projects that improve efficiency and sales productivity

Background:

• 5+ years experience in Sales Operations or similar role
• Bachelors degree or equivalent work experience
• Preferred: Experience with Salesforce (SFDC) CPQ, Clari, and Advanced Excel
• Prior experience with quote building, pricing, & operational support for large customer segments or business units
• Experience in structuring problems, taking initiative and following through with strong execution
• Strong experience with managing large datasets via Excel
• Strong people skills: Ability to develop relationships, drive consensus, and results from cross-functional teams
• Passionate and motivated to make a massive impact and work hard in a fast-paced environment
• Organized, detail oriented, and able to prioritize through sound judgement
• Proactive, creative, and flexible  
• High-energy, company first approach, and consistently positive attitude

#LI-RS1

Location: Bangalore

Shift: EST (5:30 P.M IST- 2:30 A.M IST)

What we’re looking for:

 You are an aspiring Business Intelligence, Data & Analytics Professional with 6+ years of experience in supporting the business in delivering high quality strategic and tactical analysis. You will have experience in analyzing complex business problems using data and provide actionable insights to our customer facing teams. You will have experience in identifying and interpreting trends and patterns in datasets to attribute key business drivers. You will have strong knowledge of SQL, CRM (Salesforce), Clari, Excel, Business Intelligence systems such as Tableau and Power BI. If you want to be part of a growing business, have a strong interest in learning and implementing innovative solutions to business challenges, and are passionate about winning, get in touch with us to explore the exciting opportunity at Rubrik. 

Position Overview:

As a Business Analyst you will be given the opportunity to tackle challenges impacting the growth of Rubrik’s growing subscription renewals business. This team is responsible for providing forecast clarity, scoring renewal growth and retention likelihood, customer analytics, and developing retention action plans working closely and partnering with Sales & Renewal Ops.

Key Responsibilities:

• Perform weekly, monthly and quarterly opportunity pipeline analysis, data validation and identify gaps and actions required
• Identify process automation and improvement opportunities and work with cross-functional teams to drive these initiatives
• Communicate regularly on business/team performance, making recommendations based on analysis of key performance areas
• Act on behalf of the leadership (e.g. drive global churn forecasting, identify direct and channel renewal improvements, forecasting mechanics evolution to incorporate customer health insights)
• Support the development and presentation of the business outcomes to stakeholders with a view to assisting them to drive performance in their areas (e.g. churn/upsell attribution etc)
• Provide critical business insights to Customer Success and Sales leadership based on business acumen and data analysis, be able to identify issues, recommend action plans and execute.
• Drive culture of continuous improvement on performance, process, automation, and data accuracy
• Generate regular and ad-hoc business analysis for Renewals and Sales Leadership to monitor performance across a range of key business drivers and Renewals Team performance, including direct and partner renewals
• Compare business performance against defined KPIs to identify trends and share key learnings and drive new operational programs
• Analyze data to determine if the customer is “At-Risk” and ensure early engagement.
• Analyze customer data to reduce the churn and identify the root cause of churn

Basic Qualifications

• 6+ years overall professional experience.
• A Bachelor's Degree focused in an analytically rigorous field of study is preferred, a MBA is a huge plus.
• Self-starter with outstanding problem-solving skills
• Proven track record in juggling through multiple projects and deadlines yet driving them to completion
• Have strong business acumen, excellent collaboration and stellar communication.
• Experience with Data Analytics and Modelling and ability to work with a degree of independence on data analysis.
• Excellent time management skills and ability to manage multiple priorities.
• Knowledge of Rubrik products and services preferable.

Rubrik is one of the fastest growing companies in Silicon Valley, revolutionizing data protection and management in the emerging multi-cloud world. We are the leader in cloud data management, delivering a single platform to manage and protect data in the cloud, at the edge, and on-premises. Enterprises choose Rubrik to simplify backup and recovery, accelerate cloud adoption, enable automation at scale, and secure against cyberthreats. Rubrik has raised over $553 million in venture funding, most recently at a valuation of $3.3 billion. We’ve been recognized as a Forbes Cloud 100 Company two years in a row and as a LinkedIn Top 10 startup. 

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

#LI-DR2

Location: Bangalore, India

Shift Timing: 5:30 PM- 2:30 AM

About You:

In this role, you will be a Quoting Analyst II who will be a  part of the Global Renewal Team. This role will be focused on ensuring all upcoming renewals from the installed base are being quoted accurately with the intent to align expiration dates and streamline the renewal process. This individual will assist the Renewals team review and report any refresh/upgrade opportunities that impact the installed base. Your ability to drive business process, manage heavy transaction workloads with a keen attention to detail will enable the team to secure more revenue prior to the maintenance/subscription expiration date ultimately removing the risk of reducing the contract value. Focusing on accuracy upfront will allow for predictability as we look to secure the renewals.

What we’re looking for:

• You are a Quoting Analyst II  with 4+ years of experience in Renewals Quoting Operations supporting the renewal reps in their day-to-day activities by picking up and performing more administrative tasks and helping to coordinate activity between different functions. You will be instrumental in scaling our renewal business and achieving our ambitious growth targets.

What you will Do:

• Responsible for maximizing retention by partnering with Renewal Reps to ensure renewal quotes are validated & sent out early.
• Ensure the data is accurate, including all changes from the prior renewal, price increase, and accuracy of all SKU data and contractual terms that may impact the renewal amount.
• Manage a pipeline of upcoming renewals and validate each opportunity/quote in your assigned region.
• Accountable for reviewing and checking accuracy with upgrades executed by the field and Inside Account teams
• Identify the potential Flip/Refresh/Upgrades opportunities early in the renewal cycle.
• Extract and analyze large data sets to deliver meaningful insights around Adoption, Retention and expansion, and proactively report on trends and suggestions for improvement
• Extract and analyze large data sets to deliver meaningful insights around retention and expansion, and proactively report on trends and suggestions for improvement.

Desired Skills & Experience:

• 3-8 years of hands-on Renewal Operations, Revenue Operations or Quote to Cash Process.
• Solid Salesforce aptitude
• Ability to Organize and Prioritize activities
• Strong oral and written communication skills
• Organizational and follow up skills, problem solving and analytical skills
• Inventory/installed base management experience is a plus
• Ability to take initiative, work flexibly, and adhere to priorities with minimal direct supervision.

#LI-DR2

**This is a hybrid position that requires 2 days per week in office at our Bangalore location**

Reporting to Sr Director, The PMO Analyst will be working closely with project/team leads across multiple functions and regions, the PMO Analyst will administer core PMO tools, maintain key reports and dashboards, and help ensure that project and portfolio information is accurate, timely and accessible. This role suits someone detail oriented who enjoys working with data, has excellent knowledge and experience of PMO tools/systems and is ready to embrace AI and automation within PMO.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Administer and support core PMO tools, including PSA and related platforms/integrations (e.g. SuiteProjects Pro/OpenAir, Wrike, Salesforce, ADP) in line with agreed standards.
•  Build, maintain and improve operational and portfolio reports and dashboards using BI and associated tools (e.g. Power BI, Databricks, Excel, AI & automation tools).
•  Produce regular project and portfolio reporting for PMO, Ops and global leadership teams, ensuring data is accurate, consistent and clearly presented.
•  Support tracking of portfolio health, risks, issues, utilization and capacity, highlighting trends or anomalies for further review.
•  Monitor and govern adherence to agreed PMO processes and templates, and work with PMs and functional teams to resolve basic process or data issues.
•  Contribute to continuous improvement by suggesting enhancements to tools, reports and processes, including opportunities for automation and AI-assisted efficiency.
•  Act as a helpful point of contact for PMO tooling and reporting queries, working effectively across time zones.
•  Contribute to building a modern, AI-enabled PMO capability.
• Act as the go-to expert for PMO tooling, supporting users and resolving data/process issues.
• Go beyond reporting: highlight trends, risks, and actionable insights (capacity issues, utilization trends, delivery risks).

   WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• Bachelor’s degree in business, Information Systems, Engineering, Mathematics or a related field.
• 3–7 years’ experience in PMO, reporting, business analysis, operations or similar data/analytics-oriented roles.
• Experience in a professional services, SaaS or technology implementation environment is advantageous.
• Strong Excel skills (formulas, pivot tables, lookups, basic modelling).
• Practical experience with BI/reporting tools (e.g. Power BI, Tableau or similar).
• Experience with PSA or PPM tools and a good understanding of project, resource and time-entry data (e.g. SuiteProjects Pro, Wrike etc).
• Familiarity with CRM tools (e.g. Salesforce) is an advantage.
• Strong knowledge of and interest in AI tools, automation trends & innovations (particularly Copilot)
• Experience working in or alongside a PMO, project support, reporting or business operations function.
• You will own the integrity, usability, and evolution of PMO data, reporting, and tooling, ensuring leadership has accurate, timely, and actionable insights.
• Understanding basic project management concepts such as agile, waterfall, full project lifecycle, RAID, status reporting, change control etc.
• Able to work across multiple projects simultaneously and pivot to new initiatives at short notice as required.
• High attention to detail and strong focus on data accuracy and completeness.
• Excellent written and verbal communication skills (English)
• Ability to work independently, manage multiple tasks, and meet deadlines in a global, remote setting.
• Proactive mindset: identifies problems and drives solutions, not just reports them.
• Confident working with stakeholders across functions and seniority levels.

Who are we and What do we do? 

InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies. 

What’s the InMobi family like?   

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun loving, take ownership and are results focused. We invite you to free yourself, dream big and chase your passion. 

What do we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

Team Overview

InMobi’s Programmatic Buying team works to manage revenue operations and is focused solely on buying media for the company, globally (including China Export Demand) across UA, REM and Brand Awareness. We are focused on winning new business, growing InMobi’s market share, and developing our reputation of being an industry leader.

What will you be doing : 

As part of the Programmatic Buying team, you will be playing a critical operations and revenue management role at InMobi. You would be completely responsible for setting campaigns, managing and delivering revenue on the “DSP Platform” and you are expected to work closely with all stakeholders (regional sales, supply, product, engineering, marketing and ad ops teams) to drive cross functional support to maximize revenue delivered. He/ she would have to drive revenue reporting and tracking, data analytics and develop insights into supply needs, pricing optimization, product/ tech liaising exercises.

We are looking for sharp, analytical and growth oriented professionals who can solve complex problems in a structured manner, have experience of working in cross functional roles and develop close strategic relationships with stakeholders, while proactively and clearly communicating data and insights to sales, supply, product teams and to global leadership.

You are expected to work for growing the Revenue and Margin for the region/pod allocated by actively collaborating with Customer Success/ Sales teams by understanding the capabilities of the DSP Platform. 

Key Responsibilities 

• End to End Ownership of Campaign Delivery (Onboarding, Campaign creation, Optimization, Reporting and insights etc) and Strategizing for Revenue growth for both tactical and long-term opportunities.
• Drive conversations with Sales/Customer Success teams for the smooth Campaign Delivery, handling the challenges and adopting collaborative workstyle.
• Derive Insights on various Revenue, Product, and Supply metrics, to collaborate with Product/Supply teams for feature improvements
• Meet and exceed campaign goals through campaign strategy and optimization.
• Work with huge volumes of data to arrive at meaningful insights and strategies about the campaigns.
• Own weekly exec level revenue/ margin reporting for the portfolio of accounts.
• Ability to take ownership and getting things done in the stipulated time.

What do we require from you?

Ideal candidates must possess: 

• 5-6 years of experience in a Digital Native / Startup companies, involved Data Analysis with actionable insights / Revenue Management 
• Exceptional analytical skills, entrepreneurial, and a creative approach to problem solving, with the ability to understand key metrics and apply these to performance optimizations. 
• Strong, robust MS Excel skills and proven competency in numeracy and logical reasoning 
• Effective and proactive communication skills

Nice to have: 

• Outstanding teamwork, organizational & interpersonal skills, with tremendous attention to detail. 
• Ability to work across different global cultures and in a matrix style environment 

InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

We are seeking a deeply curious, technically strong People Analytics professional to transform Human Resources, Talent Acquisition, and labor market data into a unified strategic engine within Power BI. In this role, you will operate as an equal parts data engineer, analyst, and storyteller, building scalable data pipelines and translating complex datasets into executive-ready insights that guide the global workforce and hiring decisions.  You will own the data narrative for workforce and talent strategy, helping leaders move beyond reporting what happened to understand why it happened and what to do next. By connecting insights across HR systems, recruiting platforms, and labor market intelligence, your work will ensure hiring. Workforce planning and talent investment decisions are guided by clear, reliable, and actionable data. 

Roles & Responsibilities 

• Integrated Strategic Storytelling. Deliver unified workforce and recruiting insights by synthesizing data from Oracle HCM, Greenhouse, and external sources, translating HR metrics into executive-ready narratives through trend analysis, root-cause insights, and clear links to business outcomes. 
• Analytics Transformation. Drive the shift from reactive reporting to proactive analytics by building automated pipelines, predictive models, and self-service reporting that improve decision speed and reduce manual data pulls. 
• Cross-Functional Data Partnership. Partner across HR, Talent Acquisition, Finance, and Data Engineering to ensure workforce and recruiting data is accurate, consistent, and translated into insights that improve hiring outcomes and workforce planning. 
• Data Architecture & Engineering Collaboration. Work with Data Engineering to design and maintain Snowflake pipelines, ensuring seamless integration between Oracle HCM, Greenhouse, and reporting layers that support executive decision-making. 
• Advanced Power BI Development. Build and maintain Power BI dashboards and semantic models that provide real-time visibility into workforce, recruiting, and labor market trends while enabling scalable self-service reporting. 
• Oracle HCM Reporting Expertise. Develop scalable enterprise reporting and complex data extracts, ensuring the accuracy, reliability, and scalability of workforce and recruiting datasets. 
• Data Advocacy & Insight Culture. Champion a data-driven culture by enabling HR and Talent Acquisition teams to interpret analytics confidently, ask better questions, and use insights to build compelling quarterly and annual workforce narratives. 
• Labor Market Intelligence. Analyze talent supply, competitive hiring dynamics, and compensation benchmarks to provide market-informed recommendations that guide global hiring strategy, workforce location decisions, and talent competitiveness. 

Required Qualifications 

• Bachelor's degree in human resources, Information Systems, Business, Data Science, or related fields
• 5+ years of experience in HR analytics, Talent Acquisition analytics, or people data environments within complex or global organizations that include experience translating complex multi-source data into clear narratives and insights that influence leadership decisions and workforce strategy. 
• 4+ years of experience developing advanced dashboards in Power BI, including star-schema data modeling, advanced DAX calculations, and row-level security for executive reporting environments. 
• 2+ years of SQL experience with querying and transforming complex datasets while bridging backend data structures and front-end analytics tools. 
• 2+ years of experience with Microsoft Excel including PivotTables, complex formulas, and lookup functions for analyzing and reporting large datasets. 
• 1+ years of hands-on experience with Oracle HCM including building, developing and publishing reports and/or dashboards. 

Preferred Qualifications 

• Strong understanding of HR metrics and recruiting KPIs, such as headcount, turnover, recruiting funnels, hiring plan attainment, diversity hiring progress, and workforce movement. 
• Hands-on experience with Greenhouse or similar ATS platforms, including building sourcing attribution models, recruiting funnel benchmarks, and full-lifecycle hiring analytics. 
• Experience with LinkedIn Talent Insights or similar platforms to interpret external talent market signals and convert them into actionable recommendations. 
• Experience using Python or R for predictive modeling and workflow automation, along with an interest in applying Generative AI or LLM-based tools to accelerate insight development. 
• Strong SQL capabilities with experience querying and transforming complex datasets while bridging backend data structures and front-end analytics tools. 
• Familiarity with modern data pipeline tools and experience modeling HR and recruiting data within Snowflake. 
• Understanding of global data privacy frameworks such as GDPR and CCPA, and their application within HR data governance, payroll reporting, and employee data management

Core Responsibilities

• Data Pipeline Management: Design and maintain end-to-end data workflows, from ingesting raw data into Snowflake to delivering finalized reports.
• Advanced Data Modelling: Build optimized Star and Snowflake schemas within Power BI to ensure high-performance reporting and scalable data architectures.
• Dashboard Development: Create, manage, and refine interactive Power BI dashboards and reports to provide actionable business insights.
• Query Optimization: Write complex, high-performance SQL queries and stored procedures to handle data migrations and transformations.
• Ad-hoc Analysis: Utilize Advanced Excel (including Power Pivot and VBA) for deep-dive troubleshooting and rapid analytical support for senior stakeholders.

Required Skill:

• Experience:  4–8 years in data analytics or business intelligence roles.
• Snowflake: Proficiency in Snowflake
• Power BI: Mastery of DAX (Data Analysis Expressions) for complex calculations, Power Query (M language) for ETL, and implementing Row-Level Security (RLS).
• SQL: Expert-level knowledge of SQL for data manipulation, cleaning, and managing relational databases.
• Excel: Advanced capabilities in pivot tables, complex formulas, and data automation using VBA or Power Automate.

 Common Qualifications:

• Education: Bachelor’s degree in computer science, Data Analytics, or a related field.
• Soft Skills: Strong ability to translate complex data into clear stories for non-technical stakeholders and work independently in time-critical environments

Role Overview

As a Lead Data Analyst, you will provide strategic insights and translate complex data into narratives that drive our global Finance & Strategy decisions. You will collaborate across Finance & Strategy to build high-impact, data-driven models and analytics to enable rapid decision-making. While your primary focus is on strategic analysis, you will also design and govern an Analyst-Ready Data Layer that is the foundation for analytics across the team. By combining deep SaaS business context with technical data engineering, you ensure our insights are not only impactful but built on a scalable, audit-ready infrastructure.

Key Responsibilities

• Revenue Cycle & Predictive Modeling: Optimize the opp-to-cash journey by analyzing ARR-to-revenue conversion rates and renewal patterns, while building early-warning indicators to signal risks and opportunities in the long-term outlook.
• SaaS Unit Economics & Business Diagnostics: Lead advanced analytics on core business drivers, correlating hosting costs and service delivery against gross margins while modeling consumption-based indicators to identify proactive upsell and churn risks.
• Executive Storytelling: Partner with finance leadership to evolve and elevate the delivery of professional reporting packages for internal leadership and investment partners, ensuring monthly business reviews and board decks are supported by clear, intuitive narratives.
• Analyst-Ready Data Layer Architecture: Design and govern a dedicated business data layer by transforming raw data from systems like NetSuite, Salesforce, and Coupa into functional, high-performance schemas that eliminate manual data preparation for the global team.
• Technical Innovation & Partnership: Serve as the primary bridge to central Data Engineering to influence warehouse schema design while piloting AI-driven concepts to automate data anomaly detection and streamline the analytical pipeline.

The Profile

• Experienced Strategist: 8+ years of experience in data analytics, engineering, or database architecture, with a proven track record of supporting complex financial or business modelling.
• SaaS Industry Expertise: Deep understanding of high-growth SaaS environments and the specific data structures required to model subscription-based metrics like ARR, CAC, and LTV.
• Advanced Analytics & Visualization Toolkit: Expert proficiency with modern BI platforms (e.g., Tableau, Power BI, or Looker) to transform the Analyst-Ready Data Layer into interactive executive dashboards. Mastery of advanced Excel or Google Sheets for high-rigor financial modeling is essential.
• Technical Power User: Mastery of advanced SQL and deep experience navigating modern data warehouse environments to move data from raw sources into functional models.
• Bridge Builder: Exceptional at translating complex business needs from business leaders into technical execution and high-performance data schemas.

What is The Role

To support our continued growth and build the outstanding Global Finance/ Compensation organization, we are looking for a Sales Strategy and Finance Analyst to join our fun, growing, and collaborative team!

We will look to you to help continue to work with vital partners within Elastic to assess and capture sales compensation requirements, maintain and improve the Excel quota models used to provide vital data to the Sales Compensation and Finance team. Above all, this role will care and ensure our global sales organization, its leaders, have a smooth running commissions process, while meeting Elastic’s business needs as they change.

If you are passionate about driving business results and you are driven for an opportunity with a dynamic, fast-paced organization and be part of a distributed team, this could be an excellent fit.

What You Will Be Doing

• Sales Compensation program implementation each fiscal year by working closely with internal partners to analyze and capture all required sales comp plan components for our team so that they can set up the Xactly system.
• Collaborate with the Sales Strategy team on a monthly basis to acquire quota and vital data for current and new sales rep hires.
• Build and maintain a global sales quota model, commission rates, and any vital information for setting up sales rep to our colleagues.
• Provide ad hoc analysis and attainment data for our partnering teams.
• Identify and drive process improvements by providing key inputs during process standardization during fiscal year.

What You Bring

• Advanced Level Proficiency with Excel and attention to detail. Having experience with large data and Excel formulas to navigate large files is required.
• 2+ years of work experience in Sales Compensation / Operation / Analytics area (knowledge of sales compensation, quota process, year-end and month close activities).
• Experience with Xactly, Tableau, and AI (ChatGPT, Claude, etc.) is nice to have.
• Excellent communication and engagement skills (you will be working cross functionally across different organizations).
• Strong analytical and reasoning skills, a demonstrated professional experience in content creation, data analysis & reporting.
• Comfortable with fast pace environments and desire to own, re-build, improve upon existing processes.
• Standout colleague who can partner well across various departments but also able to work independently.
• Highly collaborative style and the ability to adjust on the fly to new demands as team and goals grow.

An overview of this role

As a Senior Data Analyst on GitLab's Enterprise Analytics team, you'll support some of GitLab's most visible go-to-market and executive reporting. You'll work closely with Sales, Marketing, Revenue Operations, Finance, and analytics partners to deliver company-level reports, go-to-market performance views, and lifecycle reporting that leaders use to run the business. Working in Snowflake, dbt, Tableau, and VS Code, you'll turn ambiguous business questions into trusted, well-documented data products that serve as a single source of truth for performance and targets versus actuals. You'll also help improve our Enterprise Analytics handbook and core data foundations so strategy, processes, and metric definitions are clear and usable in our all-remote, values-driven environment.

What you'll do

• Build and maintain executive-facing scorecards, go-to-market performance views, and new-customer reporting that connect pipeline, bookings, and product usage signals into targets-versus-actuals tracking by motion.
• Design performant, reusable Tableau Cloud data sources and help shape the underlying dbt models so reporting layers are stable, governed, and aligned to single-source-of-truth patterns.
• Collaborate with Analytics Engineering and Data Engineering to improve dbt models that support reliable, scalable reporting for business stakeholders.
• Document metric logic, data lineage, and Tableau usage patterns in the handbook so stakeholders can understand how data products are built and used.
• Implement and monitor data quality checks and reconciliations across Snowflake, Salesforce, and other go-to-market systems to strengthen trust in company-level reporting.
• Partner with Revenue Operations, Finance, and go-to-market analysts and stakeholders to define questions, align on metric definitions and pacing logic, and deliver dashboards and deep-dive analyses.
• Present insights in a clear, actionable way for both operational and executive audiences so teams can make better decisions faster.
• Share best practices in SQL, data visualization, and go-to-market analytics, including code reviews and pairing support on high-priority dashboards.

What you'll bring

• Strong analytical skills with the ability to frame ambiguous business questions, structure analysis, and translate findings into clear recommendations for go-to-market and executive stakeholders.
• Advanced SQL skills working with large, complex data models, preferably in Snowflake, including joining many tables and building reusable queries and views.
• Proven experience building executive-facing dashboards in Tableau or a similar business intelligence tool, including data source design, performance tuning, and visualization best practices.
• Deep understanding of go-to-market concepts such as new-customer and first-order metrics, pipeline, bookings, Net ARR, go-to-market motions, sales segments, and marketing funnel metrics.
• Strong command of GenAI tools for daily use in your work and the judgment to use them effectively to improve speed and quality.
• Ability to communicate complex analyses in a clear, concise way through presentations, written narratives, and data visualizations for both technical and non-technical audiences.
• Comfort working in an all-remote, asynchronous environment, with a high level of ownership and the ability to drive work forward independently.
• Alignment with GitLab's values and openness to applying transferable skills from related analytics, revenue operations, or business intelligence roles.
• Experience with dbt and modern analytics engineering patterns, including trusted marts, certified sources, and documented lineage, is helpful but not required.

About the team

The Enterprise Analytics team is a centralized, cross-functional partner to GitLab's go-to-market organization and executive leadership. The team turns data from systems such as Snowflake, Salesforce, GitLab, and other business platforms into actionable insights and self-service reporting that support operating reviews and strategic decision-making. You'll join a fully remote, globally distributed team that collaborates asynchronously to define shared metrics and deliver reporting that leaders can trust. We document our strategy and processes in the handbook so stakeholders can use data more independently. The team is currently focused on scaling company-level scorecards, new-customer and first-order reporting, and go-to-market performance analytics across motions.

At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are collaborative, take initiative, and get stuff done we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfil the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenue. 

Role Overview: ZoomInfo is seeking a Data Analyst III to join the Data Operations and Analysis team. This role partners closely with Product, Engineering, and Research teams to enhance data infrastructure, improve data quality, and deliver actionable insights that drive business impact.

Key Responsibilities:

• Develop a deep understanding of data systems, pipelines, and infrastructure.
• Analyze current data processes, identify gaps, and recommend scalable improvements.
• Drive initiatives to enhance data accuracy, coverage, and efficiency.
• Collaborate cross-functionally with Data Engineering, Product, and Research teams.
• Perform advanced data analysis and present insights in a clear, structured manner.
• Mentor junior analysts and contribute to team capability building.
• Work independently to explore data, propose solutions, and execute projects end-to-end.

Core Competencies:

• Strong analytical thinking and problem-solving ability.
• Ability to work in ambiguous environments and drive clarity.
• Effective communication with both technical and non-technical stakeholders.
• High attention to detail and strong organizational skills.
• Self-driven with the ability to manage multiple priorities.

Required Qualifications:

• 5+ years of experience in analytics, data operations, or quantitative research.
• Advanced proficiency in SQL, Python, BigQuery, and Excel.
• Strong understanding of ETL processes and data quality challenges.
• Experience working with large-scale datasets.
• Familiarity with AI/ML concepts including NLP and data modeling.

Preferred Qualifications:

• Experience building or deploying AI/ML solutions.
• Exposure to tools like Tableau or Looker Studio.
• Experience with Databricks, AWS, or Airflow.
• Background in product-driven or project-based environments.

Impact: This role plays a critical part in shaping the future of ZoomInfo’s data ecosystem by improving data reliability, scalability, and strategic value.

#LI-SG2

#LI-Hybrid

General Summary:

The Technical Business Analyst will work with product owners and requesters to gather requirements, validate processes, understand scope, test steps to reproduce, and assist with demos and training for system requests. The Technical Business Analyst will review, analyze and evaluate the systems and user needs. This individual will produce documentation of both current and new processes as well as system flow diagrams. This individual will work in partnership with cross-functional teams to assist in any projects assigned to ensure the project is well defined and coordinated.

Essential Duties & Responsibilities:

• Provides support to cross-functional team(s), with close attention to detail
• Research, analysis, and document findings
• Document and distribute new or revised processes and procedures that result from project efforts
• Analyze business problems and recommend solutions
• Write user stories with detailed acceptance criteria
• Create and implement a solution design that will meet the needs of the business
• Create and implement project plans when applicable
• Test the design, manage QA and UAT, and verify solutions
• Write up and keep detailed records of initiatives
• Perform System demo, participate in user acceptance testing, and conduct user training
• Facilitate user acceptance and sign off.
• Performs a variety of tasks
• A certain degree of creativity and latitude is required.
• Review, analyze, and evaluate market data and trends
• Work with stakeholders and requestors to document requirements, define project scope and objectives, and do the analysis to provide recommendations to stakeholders and management on the next steps

Knowledge, Skills, and/or Abilities Required:

• Ability to work independently on projects and processes with general supervision
• Ability to situationally adapt and understand new technology/processes
• Must have excellent and effective oral and written English communication skills to speak with both technical and non-technical audiences
• Must be detail-oriented, strong analytical, people and documentation skills
• Well-versed in both Agile and waterfall methodologies, as well as SCRUM
• Must understand how to communicate difficult/sensitive information tactfully
• Ability to work on multiple priorities and/or projects simultaneously
• Problem-solving abilities and the ability to meet reasonable deadlines
• Strong team player with the ability to build positive and collaborative relationships within the
• organization
• Familiar with relational database concepts and client-server concepts
• Financial Analysis and Familiarity with Financial Terms
• Willingness to call or speak with customers directly
• Familiarity with SharePoint, Smartsheet, and Jira

Educational/Vocational/Previous Experience Recommendations:

• Bachelor’s degree in a related field or equivalent business experience
• 2+ years of related experience
• 2+ years of experience working with the Salesforce Platform
• Experience with Agile/Scrum methodologies
• Salesforce Business Analyst Certification
• Preferred: Experience in Finance or Marketing

Working Conditions:

• Onsite/Hybrid/Remote depending on location
• 0-25% travel may be required

Remote India

Hello👋I am Ashish, Product Operations Lead at Kayzen, and I am now looking for a Product Analyst  to join our team 🙌

But wait, you have not heard of Kayzen before?😃
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options.
Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

The team

The Product Analytics team sits at the intersection of data, product, business and engineering. We are a highly motivated group aligned in our quest to disrupt the multi-billion dollar ad-tech industry. You will collaborate with a carefully selected, diverse, and globally distributed team spanning customer success, engineering, data science, design, product and more.

Why This Role

As our Product Analyst, you will own the analytical layer that keeps our product honest and fast. You will pair deep product intuition with strong SQL skills and AI-accelerated workflows to diagnose issues, surface insights, and move faster than a traditional analyst role. This is not just about building dashboards — you will shape how we understand our product, automate recurring investigation work with LLM tools, and directly influence product and engineering decisions with data. If you love going deep on complex systems, debugging hard problems, and turning ambiguous data into clear action, this is your seat.

What You'll Do

Data Analysis & Insights

• Apply a broad range of analytical techniques to derive actionable insights from rich product and event data
• Work closely with the product team as a data-driven advisor and partner on strategic decisions and roadmap prioritisation
• Conduct deep-dive analyses on product performance, user behaviour, and funnel metrics to identify improvement opportunities
• Translate complex data findings into clear, concise narratives for technical and non-technical stakeholders

Product Support & Debugging

• Serve as the go-to person to analyse, debug, and resolve product issues in collaboration with engineering, Product and Business
• Go deep into complex customer-facing issues, identify root causes in data, and drive resolution with product and engineering teams
• Become a product and domain expert in RTB (Real-Time Bidding) and the broader programmatic advertising ecosystem

Automation & AI-Powered Workflows

• Leverage LLMs (GPT/Claude and similar tools) to automate recurring analyses, anomaly triage, data briefs, and BI request resolution — this is a mandatory part of how we work
• Build and maintain tools, scripts, and automated pipelines that reduce manual investigation effort and speed up response times
• Manage and resolve Business Intelligence requests; develop reusable tools to automate high-frequency reporting needs
• Contribute to internal dashboards and analytical tooling that accelerate decision-making across teams

Cross-Functional Collaboration

• Partner with engineering, data, customer success, and product teams on data-related initiatives and ad-hoc investigations
• Provide ideas and quantified feedback for product and process improvement
• Champion data quality, accuracy, and a culture of evidence-based decision-making across the organisation

Requirements

• 2+ years of AdTech industry experience in a data, analytics, or product analyst role
• Excellent SQL skills: comfortable writing complex queries including joins, CTEs, window functions, and aggregations against large datasets
• Hands-on experience with BI and data exploration tools (e.g. Redash, Looker, Metabase, or similar)
• Active user of AI tools (GPT, Claude, or similar) for analytical automation, data summarisation, and workflow acceleration. 
• Strong analytical and troubleshooting skills with a structured, hypothesis-driven approach to problem-solving
• High attention to detail and commitment to data accuracy and quality of output
• Ability to work collaboratively in a cross-functional, globally distributed team environment
• Self-starter mindset with goal-driven focus and resilience in a high-pressure, deadline-driven environment
• Passion for building great products and creating excellent experiences for customers

Nice to Have

• Python / pandas for ad-hoc analyses and light automation — not required, but a strong differentiator
• Familiarity with mobile attribution and measurement (AppsFlyer, Adjust, Singular)
• Familiarity with HTML/Rich media creatives

What do we offer?

• Exceptional career growth and learning opportunity
• A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
• Direct, day-to-day work experience with the management
• A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Turkey, the UK and soon more countries
• A flexible work-from-home arrangement
• A 500-dollar home-office setup budget
• A 1000-dollar annual learning and development budget

Your commissions expertise. Our rocket ship. Let's make it count.
As we scale our go-to-market engine, we need someone who can keep our sales compensation programs running with precision, fairness, and speed. That's where you come in.
As our Senior Sales Compensation Analyst, you'll own the mechanics behind how our sales teams get paid. From administering complex commission plans to partnering with GTM leadership on plan design, you'll sit at the intersection of finance, operations, and sales — making sure every dollar is tracked, every dispute is resolved, and every process gets better over time.

What you'll do

• You'll manage the end-to-end administration of our sales compensation programs, including commission calculations, reconciliations, adjustments, and payouts, ensuring everything is accurate and settled on time. You'll work within our ICM tools (CaptivateIQ experience is a big plus) and across platforms like Salesforce and Snowflake, maintaining data integrity through both system controls and manual audits.
• Beyond the day-to-day, you'll build and document scalable processes, develop training materials for our sales and field ops teams, and support monthly accruals and forecasting through scenario modeling. When commission inquiries come in, you'll be the go-to person who resolves them with clarity and care.
• You'll also partner with Sales Compensation Management to model, develop, and refine commission plans and Rules of Engagement — and flag opportunities to improve how we do things.
  You'll also handle ad hoc reporting across compensation, headcount, diversity, and other team initiatives, and work closely with auditors when documentation is needed.

What you'll bring

• You have 3–5 years of sales compensation experience, ideally in fast-paced, hyper-growth environments where context-switching is a daily reality. 
• You're comfortable administering commission systems end to end — entering new hires, updating records, running audits, and pulling reports.
• A bachelor's degree in HR, Finance, or a related field (or equivalent experience) rounds out your foundation, and ICM tool admin certification is highly preferred. 
• You're sharp with numbers, meticulous with details, and confident working across Excel (complex formulas are your thing). CaptivateIQ or Xactly experience is a big plus.
• You communicate with precision and empathy — whether you're explaining a commission calculation to a rep or presenting analysis to leadership.
• You handle confidential information with integrity, manage competing priorities with ease, and thrive working independently in a remote environment.

Why Workato
You'll join a company where automation isn't just what we sell — it's how we operate. This role gives you the chance to shape compensation programs at a company on a trajectory that doesn't come around often. If you want to do meaningful, high-impact work alongside a team that values accuracy, transparency, and continuous improvement, we'd love to hear from you.

(REQ ID: 2551)

About the Job:

LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in India. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery.

You will partner closely with the Senior Data Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR) are consistently implemented, automated, and delivered across the organization.

Responsibilities:

Data Modeling & Transformation
Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets.

Metrics Implementation
Implement and maintain standardized metrics (e.g., ARR, NRR, churn) in the data layer. Ensure consistency across dashboards and reports.

Automation & Pipeline Support
Work with Data Engineering to automate data pipelines and reduce manual reporting processes.

Dashboarding & Reporting
Develop and maintain dashboards that provide consistent and reliable visibility into business performance.

Data Quality & Validation
Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems).

Global Collaboration
Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs.

Qualifications:

• Typically requires a minimum of 5 years of related experience in data analytics, business intelligence, or analytics engineering

• Strong SQL skills and experience working with structured and large datasets

• Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar)

• Experience building and maintaining data models and dashboards

• Experience implementing business logic into data transformations

• Strong attention to detail and ability to ensure data accuracy

• Ability to work with global teams across time zones

• Clear communication skills

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. 

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com. 

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly  directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.

About the Role

We are looking for a highly analytical and detail-oriented Sales Operations Analyst to join our team. This role is ideal for a candidate with an engineering background, strong problem-solving skills, and experience in CRM management, sales processes, data analysis, and automation. You will work closely with the RevOps leaders to analyze business processes, optimize sales and CRM workflows, and drive data-driven decision-making.

Location: Bangalore
Experience: 3-5 years

Key Responsibilities

• Assess current business and CRM processes, identify gaps, and recommend improvements
• Automate workflows and integrate tools using APIs and automation platforms like Zapier
• Own end to end CRM and Techstack management making sure GTM teams run smoothly and Techstack is cost optimized
• Analyze large, complex datasets to generate actionable sales and business operations insights.
• Collaborate with sales, marketing, and operations teams to enhance efficiency and effectiveness of GTM functioning
• Account and lead list creation and Data Enrichment and for outbound outreach

Mandatory Requirements

• 3-5 years of experience in a data-driven analytical role (preferably in RevOps / SalesOps)
• Engineering background (Computer Science, IT, or related fields preferred).
• Hands-on experience with Salesforce CRM and preferred Hubspot CRM
• Proficiency in Microsoft Office Suite (Excel, PowerPoint, etc.)
• Familiarity with Power BI or similar reporting tools

Preferred Skills

• Knowledge of sales and SaaS sales processes.
• Experience with SQL, Python, and Google Apps Script (JavaScript) for data analysis and automation.
• Exposure to data pipelines and API integrations.
• Experience with lead enrichment tools like Zoominfo, Apollo, Clay, etc.
• Familiarity with analytics tools and reporting dashboards.

#LI-PB1

Scopely is looking for a Principal Data Analyst to join the Looney Tunes team in Bangalore on a hybrid basis!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

The Looney Tunes: World of Mayhem team embraces the "One Team, One Dream" culture every day. Everybody is empowered to work with a high level of autonomy and ownership to deliver the best possible player experience.

What You Will Do

As the analytics leader embedded within the game team, you will own the analytical vision across product, LiveOps, economy, monetization, and player lifecycle. You will translate complex data into clear strategic insights that directly shape roadmap priorities, feature design, event strategy, and revenue optimization. This is a high-impact role partnering closely with Product, Economy, Game Design, UA, and Leadership.

• Analyze large, complex datasets representing the behavior of our players to inform strategic decisions across retention, monetization, LiveOps, and economy design
• Define and evolve the KPI framework for Looney Tunes: World of Mayhem, ensuring clear visibility into game performance and player health
• Translate data into actionable insights that directly influence roadmap priorities, feature design, and event strategy
• Design, implement, and evaluate A/B tests to measure feature impact and optimize player experience and revenue outcomes
• Partner closely with Product, Game Design, Economy, and Leadership to align on priorities and ensure analytics is central to decision-making
• Build and maintain scalable dashboards and reporting that empower stakeholders with timely, reliable insights
• Proactively identify high-impact opportunities and risks across the player lifecycle, and frame ambiguous business problems into structured analytical roadmaps
• Leadership Expectations
• Act as the analytics owner for Looney Tunes: World of Mayhem, setting the analytical vision and raising the bar on how data informs product strategy
• Influence senior stakeholders by connecting data insights to long-term game strategy and revenue growth
• Establish best practices in experimentation, measurement, and KPI governance within the game team
• Mentor, and develop other analysts on the team, supporting their growth in both technical and business impact areas

What We’re Looking For

• 6+ years of experience in data analytics, with strong experience in free-to-play mobile gaming
• Proven ability to drive measurable impact on retention, monetization, LiveOps performance, or game economy optimization
• Advanced SQL skills and experience working with large-scale player-level datasets
• Strong understanding of experimentation frameworks, statistical analysis, and performance measurement
• Experience collaborating cross-functionally and influencing product decisions through data storytelling
• Proficiency in data visualization tools and cloud-based data warehouses (e.g., BigQuery, Looker etc) as well as advanced Excel/Google Sheets
• Experience with Python or R for data analysis
• Strong critical thinking, structured problem-solving, and communication skills
• Passion for mobile games and deep curiosity about player behavior

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

We’re looking for a highly motivated AML Risk Analyst who will perform risk analyses and investigations, draw conclusions based on data and user behavior, and clearly communicate the findings. You will join a dynamic and fast-paced environment, and cooperate with other teams and departments to support the monitoring processes of the risk department. The ideal candidate will have a proven track record in transaction/payment monitoring, Anti Money Laundering (AML) & Counter-Terrorist Financing (CTF), or related fields.  

 What’s the job?  

• Perform risk investigations and analysis  
• Draw conclusions based on multiple data sets and user behavior  
• Conduct research and provide data-driven analytical/risk insights  
• Communicate the review findings, make risk-related decisions, and act upon them  
• Work closely with other teams, groups, and departments to support the development of risk-related tools, processes, and products to improve monitoring mechanisms  

Have you done this kind of stuff?  

• 3 years of experience as an analyst in Risk, Compliance or equivalent domains   
• Proven ability to communicate effectively in English (both written and verbal) - another language is a plus!   
• Experience with analysis/investigations to identify trends and patterns  
• Experience with open-source investigations  
• Possesses a strong command of Excel and other MS Office Suite tools (Outlook, Word, etc.)  
• Bachelor’s degree  
• Data Orientation- Ability to work with SQL/BQ/data tools 
• Experience with AML monitoring/investigations to identify fraudulent/AML behaviour   

Does this sound like you?   

• Proven critical thinking and problem-solving skills  
• Flexible attitude and ability to cope with changing requirements   
• A team player with strong cross-team collaboration skills  
• Highly motivated with a can-do approach, committed to getting things right  
• Pay attention to small details and yet see the big picture   

#LI-PB1

We’re looking for someone motivated, a self-starter who is able to learn quickly in a fast-paced environment, and to be able to derive conclusions and decisions from a large set of data, someone with strong communication skills, attention to detail and an overall commitment to excellence.

What’s the job?

• Assess risk in alerts initiated within the company, and file cases to support our global compliance needs
• Communicate with internal functions on a daily basis
• Implement operational risk policy and procedures in line with regulations

Have you done this kind of stuff?

• High level of English – Must
• Entrepreneur and proactive person with the ability to work independently
• A team player with strong cross-group collaboration
• Advanced deduction skills
• Solid analytical skills
• Basic knowledge of Excel
• SQL – advantage
• Flexible attitude and ability to cope with changing requirements
• Proven critical and problem-solving skills
• Proven ability to communicate effectively

About the Role

As a Senior Data Engineer, you are a vital builder within our Finance "Engine Room". Your mission is to develop and maintain the technical infrastructure that is our Analyst-Ready Data Layer. You will execute on the strategic enablement layer, leveraging the enterprise data warehouse and ad-hoc solutions to facilitate fast-paced diagnostic, descriptive, and predictive analytics. Your work ensures that data is enriched, structured, and reliably delivered to reveal the underlying drivers of business performance for our global Finance & Strategy team.

Key Responsibilities

• Business Data Execution: Develop and maintain the dedicated business data layer, utilizing structured warehouse schemas and agile ad-hoc tables to eliminate manual data prep and ensure a ready-to-use foundation for analysis.
• Operationalizing Logic: Partner with the Data Engineering teams to migrate mature, ad-hoc financial logic into standardized, enterprise production pipelines.
• Upstream Quality Support: Collaborate with source-system owners to implement data-entry improvements and hierarchy audits, ensuring data hygiene and productivity at the point of creation.
• Advanced SQL Development: Utilize advanced SQL for complex data manipulation to build and optimize data structures that specifically support SaaS financial modeling, such as ARR waterfalls and OpEx leverage.
• Integrity & Traceability: Maintain rigorous data hygiene protocols and transformation-layer traceability to guarantee that financial outputs are valid, auditable, and board-ready.
• Finance AI & Innovation Support: Assist in the technical implementation of AI-driven concepts and LLM solutions to automate data anomaly detection and streamline the "Analyst-Ready" pipeline as our technology matures.

The Profile

• Experienced Data Engineer: 5–7+ years in data engineering or database development, with a strong background in building data layers for complex business or financial modeling.
• SaaS Industry Expertise: Proven track record in a high-growth SaaS environment, with a deep understanding of the data relationships required to model recurring revenue (ARR), customer lifecycles, and subscription-based metrics.
• Strategic Business Data Leader: Proficiency in Salesforce, NetSuite, and other finance and HR system data relationships to bridge the data architecture with SaaS business context to ensure data structures directly power F&S analytics and critical metrics. 
• Technical Power User: Proven advanced SQL knowledge and deep experience with modern data warehouse environments; you understand how to transform raw data into functional business models.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Sr. Analyst BI, based out of Gurgaon who will:

• Lead end-to-end campaign measurement and performance reporting, from data ingestion and cleaning to the final delivery of insights.
• Develop, build, and maintain sophisticated, scalable dashboards in platforms like Tableau, Power BI, or Looker to provide actionable visuals for stakeholders.
• Analyze campaign performance to uncover deep insights, identify optimization opportunities, and build compelling data-driven narratives.
• Lead projects focused on the improvement and automation of reporting workflows and dashboarding solutions.
• Establish and enforce best practices for data quality, visualization, and insight delivery within the campaign analytics function.
• Provide guidance and mentorship to junior analysts on reporting best practices, technical skills, and analytical techniques.
• Work closely with business stakeholders to understand their analytical needs and translate them into technical specifications and reporting strategies.
• Evaluate and recommend new tools and technologies to enhance our campaign reporting and analytics capabilities.

Skills and Experience:

If this opportunity looks right for you, we are looking for candidates who have:

• Bachelor’s degree in computer science, Information Technology, Engineering or related field.
• 3+ years of experience in data analysis, business intelligence, or campaign reporting/analytics, with demonstrated experience in leading projects or mentoring.
• Visualization Platforms: proficiency with data visualization platforms is essential (Power BI, Tableau and/or Looker).
• Proficiency in SQL, Excel, and Python/R
• Expert in data visualization and storytelling; able to craft compelling narratives that drive action.
• Experience in a commerce media or digital marketing agency is a plus.
• Excellent problem-solving, communication, and project management skills.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Why this role matters:

The Fraud Investigation Analyst is a key position in Vonage’s fight against fraud by protecting our customers from abuse, taking down fraudsters and ensuring the profitability of the company. The duties of the role include identifying and qualifying new strategic anti-fraud initiatives to detect and prevent fraudulent transactions and behaviour. You will be confident in proactively initiating new investigations, evidence gathering, communicating effectively with other areas of the business to recover losses, and obtaining support from product and engineering teams to deliver the improvements and technologies required to detect and prevent these problems up front.

Schedule (MX/IN);

• Required to work one day each weekend (Saturday or Sunday) as part of a fixed schedule
• Standard workweek: Tuesday to Saturday, or Sunday to Thursday 
• Flexibility to adjust hours occasionally to support urgent fraud investigations or global team collaboration (in rare circumstance this may include night shifts)

Schedule (PL);

• Required to work a fixed schedule from Tuesday to Saturday
• Flexibility to adjust hours occasionally to support urgent fraud investigations or global team collaboration (in rare circumstance this may include night shifts)

Your key responsibilities:

• Proactively detect, investigate and prioritize fraud incidents across Vonage’s communication platforms
• Monitor customer accounts and traffic usage to identity anomalies, suspicious behavior, and emerging fraud patterns 
• Conduct deep dive analysis and make actionable recommendations to support fraud prevention, detection, and mitigation strategies 
• Research and validate suspected cases of traffic abuse, account compromise, or policy violations 
• Collaborate with cross-functional teams (products, engineering, compliance, customer support) to strengthen fraud controls and prevent recurrence 
• Provide timely incident response for urgent fraud activity, ensuring rapid containment and effective communication to stakeholders 
• Sharing fraud insights and trends with leadership to inform strategy and improve customer trust 

What you'll bring

Required:

• 5+ years of experience in telecommunications fraud investigation (SMS, Voice) in telecom
• Degree-level education or equivalent professional experience in fraud, risk, or data-related fields 
• Strong expertise in fraud prevention methodologies and regulatory practices, including AML, KYC, and transaction monitoring 
• Hands-on experience with fraud detection platforms, SQL, Excel, and data analytics tools; familiarity with AI/ML-based detection solutions  
• Proven track record of analyzing large, complex datasets and delivering actionable recommendations
• Strong organizational and multitasking skills with excellent attention to detail
• Effective stakeholder management, with the ability to influence cross-functionals partners and present findings clearly to both technical and business audiences 
• Experience working in distributed, global teams and adapting to a dynamic, fast-paced environment  
• Strong written and verbal communication skills
• Ability to work one day each weekend (Saturday or Sunday), as contractually agreed 

How you’ll benefit:

• Attractive Discretionary Time Off
• Private Medical Insurance with optional dependent coverage
• Educational Assistance Reimbursement Program
• Opportunities for reimbursement for conferences, trainings, and other personal development events
• Maternity and Paternity Leave
• Ask recruiter for country specific information

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

What do we promise: 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools. We even promise to let you bring your kids and pets to work. 

What will you be doing? 

• Analyze and interpret complex datasets to derive insights that improve product performance and advertiser outcomes 

• Support product decision-making by providing data-driven insights and recommendations. 

• Conduct exploratory data analysis (EDA) to identify new features and signals that improve the DS models 

• Develop and implement performance measurement frameworks for A/B testing, feature rollouts, and model evaluations 

• Partner with Product, Data science, Engineering & Business teams and ensure we drive actual business value 

• Drive adoption of tools and methodologies like PowerBI, log-based data analysis, and experimental statistics. 

What are we looking for? 
Skills and Attributes: 

• Exceptional ability to collaborate with stakeholder teams ( Product, DS, Engineering, Business) to prioritize and deliver innovative solutions across projects. 

• Excellent verbal and written communication skills, with the ability to present information and analysis results effectively to technical and less technical stakeholders 

• Have an interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth. 

• Strong foundation in statistics and predictive modeling, including A/B testing. 

• 6+ years of overall work experience within a Tech/Analytics/Start ups 

• 5+ years of relevant experience as a product analyst, business analyst or statistical analyst role 

• Strong proficiency in SQL, Python, Advanced Excel, PowerBI 

Position Summary

We are currently seeking an Associate Group Head / Group Head – Addressable Strategy & Activation to oversee and develop our Programmatic & MarTech service offering and to help, develop, execute, and optimize Interactive Avenues most challenging Programmatic strategies for desktop, mobile, voice search, YouTube. This role includes direct management of Programmatic team members, serving as internal analyst to maintain portfolios of the partners. This is an exceptional opportunity to build your career and work with some of the largest brands in an amazing agency environment.

Account Management

• Develop the strategy & manage the day-to-day relationships to ensure revenue growth for your portfolio of programmatic partners.
• Monitor & analyse daily activities to identify opportunities to increase revenue and challenges affecting spend or delivery.
• Help maximize revenue opportunity with all existing programmatic partners
• Understand partners’ needs and develop custom commercial & technical offers where necessary.
• Work with internal marketing team to develop marketing materials & BI team to pull together relevant trends.
• Conduct Quarterly Business Reviews for a portfolio of partners.
• Generate and manage business plans to define strategies and tactics for long-term sustained success.

Key Responsibility Areas

• Translating client campaign objectives into programmatic activation strategies; including defining and building target audiences and sourcing relevant inventory opportunities
• Provide Data Driven, Supply, AI /ML Multi – DSP / platform solutions to planning or Client teams.
• Managing campaigns, including ensuring budgets are pacing effectively and tactics are being optimized towards relevant objectives and KPIs
• Provide Mid / Post campaign analysis to clients 
• Overseeing the execution of operational tasks including budget management, billing and campaign creative trafficking
• Developing strong working relationships and with planning, investment, operations and analytics team.
• Creating and enforcing workflow processes to ensure deliverables are completed accurately and on time
• Training, supporting and managing the day to day responsibilities and QAing work of more junior team members
• Conducting regular and ad hoc analysis to identify opportunities to improve performance within and across campaigns
• Keeping key stakeholders including clients and account teams updated on campaign and account level performance via regular and ad-hoc reporting and status meetings
• Contributing to the development of best practices to improve the quality or efficiency of work within an account or broader agency programmatic team
• Team Handling (TAT, Monthly Revenues, quality check, new findings).

Skills

• Proactive and highly organised, with strong time management and planning skills
• Able to meet tight deadlines and remain calm under pressure
• Good at absorbing large amounts of information, with a general hunger for learning
• Credible, confident and articulate, with good communication and presentation skills
• Innovative and creative, with a concise, precise and effective approach to problem solving
• Excellent command on English language (Spoken and Written)
• Passion for excellence with high attention to details

Team Leadership & Development

• Embraces and encourages a culture based on team work, collaboration, and intellectual curiosity
• Motivates, leads, and manages internal teams, working collaboratively to drive programs that meet our clients’ performance and business objectives
• Drives adoption of stated account management best practices through example setting, positive reinforcement and behavioural correction
• Mentor and develop his/her team, including goals/KRAs setting, collaboration, training, feedback reviews and other career development opportunities

Qualifications

Education:

• A Graduate with a management degree from an institute of reputation
• Experience with working on industry-leading DMPs, organizing 1st, 2nd, 3rd party data, segments and campaign setup
• Well versed with ad technology tools including SEM bid management tools, DSPs, planning tools
• Proficient knowledge of ad serving tools (ex: DV360, DCM)

What You Can Expect From Interactive Avenues

Interactive Avenue’s  vision is to make advertising more insightful to the brands. We do this by employing the world’s very best talent to solve some of the toughest challenges of today’s digital marketing landscape. It’s important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an Interactive Avenues employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work.

About the Role

We are looking for an ambitious self-starter with a strong track record of delivering results. This role will put you in the middle of the action, requiring you to tackle complex challenges in a rapidly-scaling startup. You will work cross-functionally to generate product insights in our direct-to-consumer business. Through critical thinking and analytical rigor, you will understand user behavior and engagement, enabling us to innovate on our product. You will also provide visibility into performance drivers, empowering leaders to make data-supported decisions. If you thrive in a fast-paced, mission-driven, and impact-oriented environment, we encourage you to apply!

Duties and Responsibilities:

• Work closely with PMs to define feature goals and lead A/B testing and experimentation initiatives, including designing tests, tracking events and properties, and analyzing results to understand attribution, causation, and incremental lift
• Proactively generate exploratory analyses and in-depth research on large data sets to help product teams uncover high-impact opportunities 
• Use your wizardly data querying and visualization skills to answer any question in a way that provides actionable insights
• Develop easy-to-consume dashboards and frameworks to monitor and visualize KPIs
• Influence strategic changes by presenting insights and recommendations to various organizational levels, including executives
• Collaborate with data engineers to maintain consistent business logic throughout the organization
• Foster a data-driven, test-and-learn culture with your passion for storytelling through data and surfacing insights via analytics, experimentation, and research into the user journey and customer funnel

Qualifications and Skills:

• 7+ years of experience in data analysis, data science, and/or data-driven product management
• Expert knowledge of SQL
• Expertise with data visualization tools to convey actionable insights to product managers and business leaders
• Experience in A/B testing and experimentation best practices
• Knowledge of basic statistical techniques; linear and logistic regression, confidence intervals
• Familiarity with a scripting language like Python or R 
• Proven ability to work independently, multi-task, and thrive in a fast-paced environment

#LI-Hybrid
#LI-NG1

About the role:

We are hiring a Sr. Lifecycle Growth Manager to own activation end-to-end — the single highest-leverage stretch of our funnel. This is the work of recovering applicants who stall mid-application and converting approved customers who have not yet activated into paying policyholders. It is where intent either converts into revenue or leaks out, and it is the workstream with the most room to move the business in the next four quarters.

You will own the lifecycle strategy across two connected phases. In pre-approval, you will own the recovery layer for application drop-off — the sequences, nudges, and in-product interventions that bring stalled applicants back into the flow and through to approval. In ANA, you will own a fully personalized program segmented by where the approved customer dropped off and what the behavioral signals tell us about why.

This is a high-leverage IC role for someone who operates like a PM, thinks like a data scientist, and ships like an operator. You will run a high-velocity experimentation program, design product-led growth loops that go beyond email, and be the operational spine that turns activation OKRs into shipped work.

This is not a campaign-manager role. It is a role for someone who wants a seat at the strategy table, who can debate tradeoffs with a Director, and who is as comfortable writing SQL as writing a test plan.

What You'll Own:

Application Drop-Off Recovery

Own the lifecycle layer that recovers applicants who stall mid-application. You will map where drop-off concentrates across the application flow — saved-progress abandonment, step-level friction, medical exam scheduling hesitation, underwriting-window stalls — and build targeted recovery interventions for each leak point. You will work step-by-step, not in generic sequences: a customer who drops off at health disclosure gets a different treatment than one who drops off at payment details.

You will partner with Product and Engineering on in-product recovery surfaces (saved-progress resumption, step-specific support prompts) and own the outbound recovery motion across email, SMS, push, and Regal. Success is measured in step-to-step conversion lift and applicant-to-approved rate.

ANA Personalization

Own the ANA program with personalization as the core design principle, not a phase-two enhancement. The primary segmentation axis is drop-off point — a customer who was approved but never returned to view their quote needs a fundamentally different treatment than one who viewed a quote, selected a term, and abandoned at checkout. You will build distinct journeys for each drop-off cohort and layer secondary personalization on top: persona signals (price-sensitive, health-uncertain, comparison shopper, distracted/busy), term-length selected, quoted price band, and engagement recency.

You will own the evergreen ANA flow, term-length education moments, pricing transparency touchpoints, and social proof frameworks — all tuned to the specific drop-off point they are recovering. Success is measured in activation rate lift by cohort, not in email opens or aggregate sends.

Experimentation Engine

Own the end-to-end testing roadmap for activation. Move us from sporadic tests to a high-velocity program — 10+ well-designed experiments per quarter with clean hypotheses, appropriate power, and ruthless post-mortems. You decide what gets tested, you enforce statistical integrity, and you translate winners into roadmap changes. Incrementality tests, holdouts, frequency-cap experiments, and multivariate designs are in your default toolkit.

Product-Led Activation Growth

Activation is not an email problem. You will partner with Product and Engineering to design in-product interventions — application-step nudges, saved-progress recovery surfaces, pricing-transparency moments, term-length education, and post-approval decision support — that compound with our outbound channels. You will write PRDs, scope experiments with engineers, and measure feature adoption alongside channel metrics. You treat the product and the CRM as a single activation funnel.

Lifecycle Operations & Velocity

Turn strategy into shipped work. You will translate quarterly OKRs into concrete execution plans, architect the workflows that let the lifecycle operations execution team move fast with low error rates, and serve as the escalation point when ambiguous requirements or data issues block the team. You will co-own the planning table with US leadership during quarterly cycles and push back — with evidence — when a strategy is flawed or slower than it needs to be.

AI-Native Workflow Design

We are building an AI-native lifecycle function. You will use LLM-powered workflows to compress the time from hypothesis to shipped test — generating copy variants, QA'ing journeys, segmenting cohorts, and drafting briefs. This is not about using ChatGPT/ Claude occasionally; it is about designing systems where AI agents handle the execution layer so human time goes to strategy, analysis, and judgment calls.

Platform & Data

Act as the super-admin for our CRM stack (Iterable, Regal, and adjacent tooling). Partner with Engineering and Analytics to keep data pipelines clean, event schemas scalable, and deliverability pristine. You do not need to be the deepest technical expert on every platform, but you need to know enough to earn the team's respect and make the right architectural calls.

Duties and Responsibilities:

• You have 7-10+ years in lifecycle marketing, growth product management/ product-led-growth, or CRM at a B2C tech, fintech, SaaS, or marketplace company — with demonstrated impact on LTV, retention, or activation metrics that mattered to the business.
• You are fluent in SQL and understand the data in and out. You do not wait for an analyst to tell you whether a campaign worked — you pull the data yourself, segment the cohort, and come back with the answer. You understand statistical significance, power analysis, cohort retention curves, and the difference between a lift that is real and a lift that is noise.
• You have shipped PLG experiments, not just email campaigns. You have written a PRD, worked through a trade-off with an engineer, and measured in-product feature adoption. You understand that the highest-leverage lifecycle work often lives inside the product.
• You are hands-on with enterprise CRM platforms — Iterable, Braze, Customer.io, or similar. You can build a complex multi-branch journey without hand-holding, and you can debug why a campaign is not firing without escalating to a vendor rep.
• You communicate like a senior operator. You can debate strategy with a Director, write a decision memo, and hold your ground when you disagree — while staying open when the counterpoint is stronger. You default to direct, concise, written communication and flag ambiguous items explicitly rather than resolving them with unspoken assumptions.
• You have worked across time zones with a US-based manager and know how to make asynchronous collaboration work — owning hand-offs, writing clear updates, and protecting the golden-hour overlap for high-bandwidth decisions.

Nice to Have

• Experience at a fintech, insurtech, or regulated-vertical company where compliance shapes the lifecycle program
• Hands-on background leading an ESP or CDP migration (Iterable, Braze, Responsys, Salesforce Marketing Cloud)
• Experience in a two-sided marketplace or high-volume B2C environment
• Prior PM or PM-adjacent role — you have owned a roadmap, not just a campaign calendar
• Working familiarity with experimentation platforms (Optimizely, Statsig, LaunchDarkly, or in-house feature flagging)
• Basic HTML/CSS fluency — enough to debug a rendering issue without waiting on a developer

How We Work

We move fast, ship small, and measure everything. We prefer shipping an imperfect test this week over a perfect one next quarter. We over-communicate in writing, treat post-mortems as sacred, and are genuinely allergic to work that does not connect back to a revenue or retention number. We believe the best lifecycle teams in the world will be AI-native by default within the next two years, and we are building accordingly.

If you want to run a campaign calendar, this is the wrong role. If you want to architect a growth engine, let's talk.

#LI-Hybrid

#LI-NG1

Summary:

Leads advanced financial analysis and optimization strategies for cloud infrastructure, providing expert-level insight and technical guidance to drive cost efficiency, forecasting accuracy, and financial accountability across multi-cloud environments. This role partners closely with engineering, finance, and procurement teams to enable strategic cloud investment decisions.​

Duties & Responsibilities:

• ​ Lead in-depth cost modeling, forecasting, and trend analysis for AWS, Azure, GCP, and other cloud platforms.
• Design and implement scalable chargeback/showback models, allocation frameworks, and budget controls across business units.
• Serve as the primary expert on cloud cost optimization, including automation of rightsizing, usage analysis, and commitment planning (RI/SP/CUD).
• Collaborate with cloud engineering and architecture teams to ensure cost considerations are embedded in system design and scaling strategies.
• Provide financial oversight and scenario modeling to support large-scale cloud investments and vendor negotiations.
• Own and maintain FinOps dashboards, data pipelines, and cloud billing integrations with BI platforms.
• Define and drive FinOps best practices, governance standards, and cross-functional training initiatives.
• Mentor other analysts and serve as a lead contributor to FinOps maturity and tooling strategies.​

Job Complexity:

Leads the most complex, high-impact cloud financial analysis and optimization initiatives. Translates technical usage into strategic financial insights.

Required Supervision:

Operates independently with a high degree of autonomy. Trusted to guide FinOps execution and influence enterprise cloud strategy.

Expertise:

Deep subject matter expertise in cloud billing, cost modeling, and FinOps strategy. Recognized as a key influencer in cloud financial planning and optimization.​

Qualifications:

• ​ Bachelor’s or Master’s degree in Finance, Data Science, Engineering, or a related field.
• 7+ years of experience in cloud cost optimization, infrastructure finance, or enterprise technology operations.
• Advanced knowledge of public cloud platforms (AWS, Azure, GCP), billing constructs, and pricing strategies.
• Proficiency in SQL, Excel, and BI tools such as Tableau, Power BI, or Looker.
• Experience with cloud cost management platforms (e.g., Apptio Cloudability, CloudHealth, native tools).
• Strong technical acumen, communication skills, and ability to collaborate across engineering and finance.
• FinOps Certified Practitioner or Professional strongly preferred.

Summary:

Leads advanced financial analysis and optimization strategies for cloud infrastructure, providing expert-level insight and technical guidance to drive cost efficiency, forecasting accuracy, and financial accountability across multi-cloud environments. This role partners closely with engineering, finance, and procurement teams to enable strategic cloud investment decisions.​

Duties & Responsibilities:

• ​ Lead in-depth cost modeling, forecasting, and trend analysis for AWS, Azure, GCP, and other cloud platforms.
• Design and implement scalable chargeback/showback models, allocation frameworks, and budget controls across business units.
• Serve as the primary expert on cloud cost optimization, including automation of rightsizing, usage analysis, and commitment planning (RI/SP/CUD).
• Collaborate with cloud engineering and architecture teams to ensure cost considerations are embedded in system design and scaling strategies.
• Provide financial oversight and scenario modeling to support large-scale cloud investments and vendor negotiations.
• Own and maintain FinOps dashboards, data pipelines, and cloud billing integrations with BI platforms.
• Define and drive FinOps best practices, governance standards, and cross-functional training initiatives.
• Mentor other analysts and serve as a lead contributor to FinOps maturity and tooling strategies.​

Job Complexity:

Leads the most complex, high-impact cloud financial analysis and optimization initiatives. Translates technical usage into strategic financial insights.

Required Supervision:

Operates independently with a high degree of autonomy. Trusted to guide FinOps execution and influence enterprise cloud strategy.

Expertise:

Deep subject matter expertise in cloud billing, cost modeling, and FinOps strategy. Recognized as a key influencer in cloud financial planning and optimization.​

Qualifications:

• ​ Bachelor’s or Master’s degree in Finance, Data Science, Engineering, or a related field.
• 7+ years of experience in cloud cost optimization, infrastructure finance, or enterprise technology operations.
• Advanced knowledge of public cloud platforms (AWS, Azure, GCP), billing constructs, and pricing strategies.
• Proficiency in SQL, Excel, and BI tools such as Tableau, Power BI, or Looker.
• Experience with cloud cost management platforms (e.g., Apptio Cloudability, CloudHealth, native tools).
• Strong technical acumen, communication skills, and ability to collaborate across engineering and finance.
• FinOps Certified Practitioner or Professional strongly preferred.

To support the increasing growth in Kaseya business, we are hiring a Sales Operations Analyst. Based out of our Bangalore office and reporting to the Manager of Sales Operations, this position will be responsible for processing incoming customer orders and ensuring commercial compliance in accordance with company guidelines. This is a great opportunity for someone seeking a challenging position within the software industry and one that provides insight into the operational setting. Kaseya is a rapidly growing company that offers tremendous growth

• Manage the end-to-end quoting process for new and existing customers, ensuring timely and accurate quote creation and approvals.
• Create, update, and maintain quotes and contracts as requested by Sales Representatives and Account Managers.
• Provide operational support to Sales Representatives to help achieve annual sales targets.
• Support daily sales operations, including quote creation, approval workflows, bookings, and provisioning for end customers.
• Collaborate with cross-functional teams such as Sales, Legal, and Finance to ensure compliance with company policies and industry regulations.
• Communicate quoting and contract modification insights effectively to cross-functional teams and senior management.
• Maintain accurate and up-to-date customer data across systems to ensure data consistency and seamless sales operations.
• Deliver data-driven insights and recommendations related to Kaseya products to support sales strategies and informed decision-making.
• Stay updated on industry trends and best practices in quoting, contract management, and sales operations.

Qualifications:

• Degree in Business, Accounting or related field preferred.
• Interest in technology
• Prior work experience within order management and/or order fulfillment
• Proficiency in MS Excel
• Understanding of software subscription businesses, a plus (SaaS)
• Strong written and verbal communication skills
• Flexibility in schedule as needed to support business demands such as Quarter-End close, new product releases, etc.
• Ability to prioritize and stay organized in a fast-paced work environment
• Familiarity and proficiency with NetSuite, Salesforce, Salesforce CPQ - a plus
• Team player comfortable working cross-functionally both within, and without the finance department

Primary Job Responsibilities:

• Administer all aspects of commissions using CIQ or spreadsheets, including calculating and validating monthly commission payments based on Sales Compensation plan provisions.
• Collaborating with Sales Operations, Finance and Sales Management to timely resolve sales compensation issues.
• Payroll Accruals & Processing: Perform monthly sales compensation accruals and work closely with the Payroll and Finance teams to ensure accurate reporting and payouts.
• Create, validate, and audit monthly reports to ensure the accuracy and completeness of commission crediting and payout results.
• Extract, transform, and analyse data from Salesforce, Snowflake and CIQ for compensation processing and audit support.
• Troubleshoot and resolve calculation or data errors within CIQ, Salesforce and Snowflake.
• Support training to Sales teams around Compensation-related processes, procedures, and program details.       
• Communicate effectively with stakeholders and provide ongoing support to proactively assist business in making informed management decisions.
• Serve as a go-to expert for questions and clarifications.
• Ensure compliance with global standards and maintain efficiency while meeting critical deadlines.
  
  Qualifications:
• 5+ years of experience & minimum of 3+ years in sales compensation and analysis, month-end accrual and close processes, and reporting activities.
• Experience using CIQ Incentive platform, Salesforce, Snowflake.
• Experience in Implementation of Commission Plans in any Incentive Platform.
• Proficient with Advanced Excel, SQL experience is a plus.
• Self-starter with strong communication, customer service, and problem-solving skills.
• Adaptability and ability to manage multiple responsibilities in a dynamic setting.

Role Summary

The Sr. Strategic Analyst will play a pivotal role in shaping the direction and performance of Kaseya’s Support & Customer Success organizations. This role combines analytical rigor, strategic thinking, and executive-level communication. The ideal candidate is data-driven, comfortable operating independently, and skilled at presenting insights and recommendations to senior leaders.

Key Responsibilities

• Lead analytical deep dives and strategic initiatives that inform CS leadership decisions
• Develop KPI frameworks, forecasting models, and operational dashboards
• Build executive-ready presentations and narratives for SVP and C‑level audiences
• Partner with cross-functional teams (Finance, Sales Ops, Product, Support, etc.) to drive strategic alignment
• Own portions of the team operating rhythm: QBRs, weekly KPIs, governance
• Support team transformation efforts, including process redesign and program rollout
• Maintain strong understanding of customer lifecycle, segmentation, health models, and CS motions

Required Skills & Experience

• 5+ years in Strategy, Analytics, Operations, Consulting, or related field
• Strong executive communication and storytelling; ability to simplify complex analysis
• Proficiency with BI tools (Power BI, Sigma preferred but not required)
• Strong Excel or Sheets modeling ability
• Strong PowerPoint presentation design ability
• Experience in SaaS, subscription metrics, customer analytics, or technical support analytics & operations
• Ability to work autonomously, manage multiple workstreams, and prioritize effectively

Success Metrics

• Quality & Timeliness of Deliverables: Delivers accurate, leadership‑ready strategic analyses, models, and presentations on time with minimal revision cycles required
• Influence on Decision‑Making: Produces insights that directly shape Support/Services decisions - reflected by adoption of key recommendations and recurring inclusion in leadership reviews
• Capacity Relief & Operational Leverage: Effectively absorbs the majority of IC‑level strategic and analytical workload, enabling the manager to reallocate time toward higher‑level orchestration and alignment
• Stakeholder Satisfaction & Cross‑Functional Partnership: Earns strong feedback from Support, Services, and cross‑functional partners for responsiveness, clarity, and effectiveness
• Process & Analytics Improvements: Drives measurable improvements in reporting, frameworks, models, or workflows – targeting reduction in manual effort through standardization, automation, or new strategic tools