Role Overview: 

As a Consultant – Analytics - COE, you will design, execute, and scale analytical workstreams that power ClearView’s client engagements. You will work on projects such as ATUs, forecasting, conjoint analyses, proprietary data mining and survey designing and coding (e.g., Qualtrics), while contributing to tool development and analytics automation for the firm. As a CoE team member, you will support global project teams in structuring, analyzing, and visualizing complex datasets to inform strategic recommendations for life sciences clients. You will combine strong analytical skills with an understanding of life sciences to help answer critical questions across the product lifecycle.

Key Responsibilities:

• Translate business questions into clear analytical approaches, data requirements, and model structures for engagements spanning new product planning, market access, corporate and investor assessments, and diagnostic strategy.
• Collect, clean, structure, and validate data from multiple sources, including sales, claims, epidemiology, primary research outputs, and internal proprietary datasets.
• Design, program, and analyze quantitative surveys, including ATUs, demand assessments, and pricing research; support project teams in defining sampling plans and questionnaire logic.
• Build and maintain quantitative models for market sizing, forecasting (patient based and sales based), patient flow, scenario testing, and pricing / contracting simulations across a variety of therapeutic areas and business questions.
• Conduct conjoint / discrete choice and related trade off analyses, including experimental design, model estimation, and result visualization under guidance from senior team members.
• Support web crawling and data harvesting efforts to automate tracking of markets, competitors, and financial / deal activity where appropriate.
• Develop and maintain reusable analytical assets (e.g., standard forecast frameworks, KPI dashboards, ATU codebooks, pricing simulators) that can support multiple types of strategic work, including launch, access, and corporate growth questions.
• Develop dashboards and visuzalizations (e.g., in Excel, PowerPoint or BI tools) that clearly communicate key findings and trends to internal and client stakeholders.
• Support the creation and refinement of reusable analytical tools and templates (e.g., standard forecast models, patient flow frameworks, KPI trackers).
• Document assumptions, methodologies and data sources to ensure transparency, reproducibility, and efficient hands offs across global teams.
• Collaborate closely with Insights and consulting teams to integrate analytics outputs into cohesive storyline and client deliverables.
• Contribute to internal capability building by sharing analytical best practices and participating in developing training material and code or template libraries.

Qualifications & Requirements:

• 4–6 years of experience in analytics, forecasting, or data driven roles within life sciences consulting, pharma, healthcare analytics, or related sectors; strong analytical internships may be considered.
• Undergraduate or Master’s degree in a quantitative or life sciences field (e.g., engineering, statistics, mathematics, economics, biostatistics, pharmacy, biotechnology).
• Strong quantitative and problem-solving skills, with the ability to decompose ambiguous business questions into structured analytical workplans.
• Advanced Excel skills (e.g., advanced formulas, pivot tables, basic data modeling, Macros/VBA); exposure to forecasting and scenario analysis preferred.
• Experience with at least one analytical or programming tool (e.g., R, Python, SQL, or a BI platform such as Power BI/Tableau) is a plus; willingness to learn these tools is essential.
• Strong attention to detail and comfort working with large or complex datasets, including data integrity checks and reconciliation.
• Clear written and verbal communication skills in English, with the ability to explain analytical approaches and results to non-technical stakeholders.
• Ability to work effectively in a fast-paced, collaborative environment supporting multiple projects and time zones.
• Ability to work in a hybrid setup, with 3 days per week from the Gurgaon office.

The SalesOps Associate provides front-line support to our rapidly-growing sales organization, including answering inquiries, maintaining data health, performing research and working on tasks that enable Account Executives to take data driven decisions, and maintaining the health of our sales tools and systems.

MongoDB’s SalesOps Associates are mentored and coached by highly-skilled Sales Operations leaders with shown track records. SalesOps Associates will gain practical, real-world sales operations experience, along with exposure to the best sales methodology in the industry. This experience provides an enviable foundation for your business career, whether you are passionate about a future in leadership or sales.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Shift Timings: 2:00 PM-10:00 PM (cabs will be provided)

You will have the opportunity to

• Accelerate your career through exposure to the most effective sales methodology and through working side by side with the best sales professionals in the industry
• Get insights and experience first-hand how an effective, fast-paced organization operates through learning about marketing/sales processes, collaboration and tools
• Establish a strong network of peers and mentors
• Gain insight into a $45Bn technology industry that is rapidly transforming

Responsibilities

• Data maintenance and cleanup initiatives such as Account Hierarchy, merging unnecessary accounts, contact movement and contact merging, cloud org movement etc
• Front-line/Tier-1 Support for Sales via the Sales Operations Case Queue, including initial triage of new Cases, fixing/resolving/responding to Cases as knowledge & experience allows, and raising cases to Salesforce.com Administrators or other teams like Deal Desk where appropriate
• Serve as an initial point of escalation from other Sales Support functions (Deal Desk, Commissions, Support Operations) where they need assistance from SalesOps
• Data updates, such as Account/Territory Assignments
• User Administration e.g. activating new users and deactivating departing users in sales tools
• Identification of trends of issues, problems, and requests that may be symptoms of broader opportunities for improvements in processes, tools, or training
• Configuration/setup tasks in Salesforce.com and other Sales Tools, such as our custom Territory Management solution or our user hierarchy management in Aviso (forecasting tool)
• Adaptive to constantly shifting priorities and responsive to unpredictable volume of inbound requests with varying degrees of vitality
• Ability to learn prescribed tasks quickly, and grow into understanding and supporting less prescribed processes along with creating documentation SOPs
• Strong analytical skills, multitasker, gives attention to detail & showcases customer centricity in managing day to day operations
• Identify and qualify new accounts to support the team in managing territory bullpens globally
• Build Pipeline Generation (PG) research reports by researching accounts and executives to identify and build lists of key roles and targets
• Collects, analyzes, and interprets data to identify trends, patterns, and generates insights
• Writing SQL queries to automate manual processes
• Create Sigma/Tableau dashboards
• Analyzing code segments regularly
• Working with internal customers across different time zones
• Create requirement gathering docs, estimate project timelines, UAT scenarios, automation release

Skills & Experience

• Graduate in any discipline with a minimum 2.5 years of sales operations experience is preferred
• Must have good Salesforce Knowhow and basic understanding of objects: account, contact, lead, opportunity
• Hands on experience on Data Loader, Demand Tools or similar tools and knowledge of research databases such as ZoomInfo, InsideView, Crunchbase etc is preferred
• Hands on experience on sales productivity and efficiency tools such as LeadIQ, ZoomInfo, and Cognism is preferred
• Experience in working with ticketing/case management systems e.g. Salesforce, Zendesk, Jira and similar tools
• Able to handle and work with large volume of data
• Understanding of sales cycle and process & data segmentation
• Must have hands on experience on Microsoft Office/G suite and intermediate proficiency in Advanced Excel and Macros
• Must show process and business oriented mindset
• Must have critical thinking, attention to detail, problem solving and troubleshooting attitude
• Should have problem identification and articulation skills
• Experience - 3 yrs in SQL
• Strong Automation Skills with experience in SQL/BI
• Good Data warehouse knowledge
• Bachelor’s degree or higher in Operations, Business, Project Management, Engineering
• Open-minded, creative, and proactive thinking
• Prior experience working with bulk update tools like the workbench

Behavioral & Engagement Expectations

• Team player
• Open to feedback
• Contributor in meetings
• Assertiveness
• Stakeholder management
• Able to carry out repetitive work
• Collaborative mindset
• Customer-Focused Mindset
• Problem-solving attitude
• Analytical skills

Perks & Benefits

• Macbooks are company-standard
• Competitive salary and equity
• Comprehensive Health cover, dental cover, travel insurance & Life Insurance
• 20 weeks of Paternity and 26 weeks of Maternity leave to spend time with new arrivals

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID - 425501

MongoDB is seeking a Senior Analyst to support data-driven, people-focused decision making for the company.  Partnering with our People team, you will transform HR and organizational data into actionable insights to help us hire the right talent, manage our overall workforce, and improve workforce effectiveness, leading to better outcomes for our people and the company.

This position requires someone with strong analytical and technical skills, the ability to tell a story with data, and who is comfortable working across multiple functional areas in a fast-paced, challenging environment.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Responsibilities

• Partner with People teams (compensation, recruiting, culture/talent/development, etc.) to understand their questions, turn analyses into actionable data-driven insights, and make business recommendations
• Help develop and execute against roadmap for people data investments to both capture near-term value and set up the team for long-term success
• Liaise with Data Engineering and HRIS teams to create and manage a curated central repository for people data
• Design and build automated dashboards to empower stakeholders to self-serve their data and analytical needs
• Prioritize and triage analytical and reporting asks from across the People team
• Develop and support ongoing data governance and data quality processes
• Effectively communicate analytical findings to non-technical audiences

Requirements

• 3+ years of hands-on analytics experience (focus on people/HR analytics preferred)
• Advanced SQL skills, comfortable manipulating very large datasets 
• Proficient in Python or R with a strong focus on data wrangling and data analysis
• Extensive experience with Tableau or another leading visualization tool is required
• Experience analyzing complex people data (e.g. headcount, attrition, recruiting metrics, compensation data) strongly preferred but not required
• Familiarity with data architecture fundamentals and data warehousing
• Proficiency with data modeling and data quality best practices
• Demonstrated ability to effectively communicate and set priorities with key stakeholders at all levels of the organization
• Highly collaborative and organized, with a strong attention to detail 
• Comfort with ambiguity and ability to work in a self-guided manner
• Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment
• Exposure to Modern Cloud Data Warehouses preferred.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

As a Quality Assurance Lead, you will act as the strategic driver for quality integrity across the vendor network. You are responsible for designing the audit framework, managing senior-level stakeholder relationships, and ensuring that the Quality Assurance team effectively identifies and mitigates risk within vendor operations.

You Will:

• Lead the Audit the Auditor program to ensure global consistency in policy enforcement.
• Serve as the primary point of escalation for complex quality disputes and policy interpretations between Roblox and vendor partners.
• Analyse large-scale quality data sets to provide executive-level insights on vendor performance and platform health.
• Design and implement calibration standards that align vendor quality outcomes with Roblox internal benchmarks.
• Mentor and develop Quality Assurance Associates to improve their technical auditing and analytical capabilities.
• Collaborate with Policy and Product teams to ensure quality rubrics are updated in real-time as platform features evolve.

You Have:

• At least 5 years of experience in operations, quality management, or audit, with at least 3 years in a leadership role within a trust and safety environment.
• Proven track record of managing large-scale BPO quality operations and implementing process improvement frameworks like Lean or Six Sigma.
• Bachelor’s degree in a relevant field; advanced certifications in quality auditing or risk management are preferred.
• Data fluency (Tableau, Looker, or PowerBI) and proficiency in SQL or complex spreadsheet modeling.
• Exceptional negotiation and presentation skills, with the ability to influence senior leadership and external vendor executives.

Job Purpose

The People Analytics & Workforce Intelligence Lead plays a critical role in building an integrated, insight‑driven workforce analytics capability that enables effective execution of People and Workforce Strategy.

This role shifts the organisation from fragmented, activity‑based reporting to coherent, decision‑relevant workforce intelligence, leveraging Oracle HCM data, dashboards, and AI‑enabled techniques. It ensures high‑quality, evidence‑based insights that support senior leaders in making informed decisions on workforce structure, capability, and cost.

By partnering with HR, Finance, Strategy, and Technology teams, the role drives standardisation, improves data confidence, and delivers forward‑looking workforce intelligence aligned to business priorities.

Key Roles and Responsibilities

1. Strategic Workforce Analytics & Insight

• Deliver integrated workforce and people analytics that enable evidence‑based decision‑making aligned to People and Workforce Strategy.
• Generate actionable insights across workforce structure, roles, capacity, productivity, skills, and costs, moving beyond descriptive reporting.
• Translate complex, multi‑source datasets into clear, executive‑ready narratives and recommendations.

2. Workforce Data Integration & Intelligence

• Integrate workforce data across HR systems, Finance, and other people data sources to create a single, aligned view of workforce intelligence.
• Align metrics, assumptions, and reporting standards across HR, Finance, and Strategy to drive shared understanding.
• Partner closely with Finance to connect workforce and cost analytics with financial planning and performance management.

3. Dashboarding & Reporting Transformation

• Design, build, and maintain integrated workforce analytics dashboards using tools such as Power BI, Tableau, or equivalent.
• Drive the shift toward dashboard‑led analytics, reducing fragmented, manual reporting.
• Ensure dashboards are intuitive, standardised, and tailored for senior leadership decision‑making with clear data definitions.
• Continuously measure and improve dashboard adoption, usability, and business impact.

4. Reporting Simplification & Optimisation

• Lead the rationalisation and simplification of workforce reporting, eliminating duplication and low‑value outputs.
• Replace activity‑based reporting with insight‑driven, decision‑focused analytics.
• Establish a scalable and efficient analytics framework across the People function.

5. Advanced Analytics, Automation & AI Enablement

• Apply AI‑enabled techniques and automation to enhance the speed, consistency, and quality of insight generation.
• Use advanced analytics to surface trends, patterns, and forward‑looking workforce intelligence, while ensuring practical and business‑aligned application.
• Support workforce initiatives and strategic programmes through structured, predictive insights.

6. Data Governance & Quality Stewardship

• Establish and maintain clear definitions, standards, and governance for workforce analytics (especially within Oracle HCM environments).
• Improve confidence in workforce data through transparency of methodologies, assumptions, and calculations.
• Act as a steward of high‑quality, decision‑ready workforce insight across the organisation.

7. Stakeholder Partnership

• Partner with senior HR leaders, Finance, and Strategy teams to support workforce strategy execution.
• Enable self‑service insights where appropriate while guiding stakeholders on data interpretation.
• Support key workforce planning and organisational initiatives through insight‑led collaboration.

Skills & Experience

• Demonstrated ability in data storytelling—translating complex datasets into clear, actionable, leadership‑ready insights.
• 7–10 years experience in People Analytics, Workforce Analytics, HR Analytics, or Business Intelligence roles, preferably in complex or matrixed environments.
• Knowledge of Oracle HCM data modules including OTBI, BI Publisher, and FDI.
• Proven experience in designing and delivering dashboard‑led workforce analytics solutions (Power BI, Tableau, or similar tools).
• Advanced analytical capability using Excel, SQL, and BI platforms.
• Demonstrated ability in data storytelling—translating complex datasets into clear, actionable, leadership‑ready insights.
• Experience leveraging automation and AI-enabled analytics techniques to enhance reporting and insight generation.
• Strong understanding of workforce concepts including capacity, productivity, performance, costs, roles, and skills.
• Ability to influence stakeholders and drive adoption of standardised, insight-driven analytics practices.

Realize your potential by joining the leading performance-driven advertising company!

We are reimagining how HR operations work at Taboola, and we are looking for a curious, hands-on Business Analyst to help us get there. As an HR Business Process Analyst on the People Analytics team in our Gurgaon office, you will be at the core of our HR Shared Service Center (SSC) transformation: mapping and improving processes, deploying AI to reduce manual work, and helping the SSC evolve from a back-office transaction hub into a strategic, business-facing function. This is a great opportunity for someone early in their career who is excited about applying AI to real business problems and energized by the work of making things run better.

To thrive in this role, you'll need:

• 3 to 5 years of professional experience in business analysis, operations, process improvement, HR operations, or a similar function.
• Hands-on experience using Generative AI tools (ChatGPT, Gemini, Claude, Copilot, or similar) to solve business and operational problems.
• A track record of mapping, documenting, or improving business processes.
• A strong analytical mindset and comfort working with data in Excel or Google Sheets.
• Strong written and spoken communication skills in English, with the ability to translate operational needs into structured requirements.
• Familiarity with HR systems, processes, or service delivery models.

Bonus points if you have:

• Experience working with or inside a Shared Service Center.
• Hands-on experience with SAP SuccessFactors or another HRIS.
• Familiarity with workflow automation tools (Zapier, Make, n8n, Power Automate).
• Familiarity with data visualization tools (Tableau, Power BI, Looker).
• Basic SQL.
• Project management experience or certification.

How you'll make an impact:

• Support the transformation of the HR Shared Service Center by inventorying and documenting processes, identifying risks and gaps, and helping shape the operating model that lets the SSC scale.
• Identify high-volume, repeatable work where AI and automation can reduce manual effort, then help design, pilot, and deploy those solutions.
• Contribute to the rollout of AI-powered self-service tools for employees and managers, including knowledge bases and conversational agents.
• Help define and monitor SSC service KPIs, SLAs, and HR data quality metrics.
• Partner with HRBPs, IT, and global HR teams to understand pain points and turn them into concrete operational improvements.
• Run targeted analyses and build simple dashboards that surface what is working and what is not.
• Support the evolution of the SSC from back-office processing toward business-facing services that directly serve managers and leaders.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you they’ve been empowered to realize their full potential while growing and learning from smart and talented colleagues. They’ll also share more about:

• Well-being: Enjoy comprehensive benefits, including health coverage, fully stocked kitchen.
  
  
• Flexibility: We offer a hybrid work schedule – 3 days in the office with the option to come in more if you’d like.
  
  
• Work with the best: Partner with global brands like Yahoo, NBCU, Conde Nast, and Wells Fargo.
  
  
• Unmatched culture: As our CEO Adam Singolda says: “You can copy anything from another business but you can’t copy a company’s culture.”
  
  

Ready to realize your potential?

Taboola is an equal opportunity employer and values diversity in all its forms. We are committed to creating an inclusive environment for all employees and believe this is critical for success. Employment decisions are based on qualifications, merit, and business needs.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X (Twitter), YouTube, and the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-ST1

#LI-Hybrid

We are looking for a highly skilled and motivated Data and Analytics Systems Engineer to join our growing team. The ideal candidate will have a strong background in data engineering and analytics, with hands-on experience in designing, building, and maintaining data pipelines and analytics solutions. You will be responsible for leveraging a variety of technologies, including Google Cloud Platform, Google BigQuery, Tableau, Informatica, Databricks, Python, and Anaplan, to deliver high-quality data products and insights to our business stakeholders to ensure our Data & Analytics systems and operations are effective and efficient.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in a data engineering or analytics system management role.
• Proven experience with Google Cloud Platform (GCP), including Google BigQuery, Cloud Storage, and Cloud Functions.
• Experiences with data visualization tools, preferably Tableau.
• Proficiency in ETL/ELT tools like Informatica, Airflow, Dataproc, and so on.
• Experience with big data technologies such as Databricks and Spark.
• Strong programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Familiarity with the Anaplan platform is a plus.
• Excellent problem-solving and communication skills.
• Ability to work independently and as part of a team.

Anaplan is seeking a talented and motivated Analytics Engineer to join our growing team. In this role, you will be responsible for the end-to-end delivery of analytics solutions, from gathering user requirements to testing and production support. You will work closely with stakeholders to understand their needs and transform data into actionable insights.

Responsibilities

• Design, develop, and maintain scalable and robust analytics solutions.
• Gather and document user requirements for analytics and reporting.
• Develop and manage BI dashboards and reports using tools like Tableau.
• Conduct testing and provide production support for analytics solutions.
• Collaborate with data engineers and other teams to ensure data quality and availability.

Qualifications

• Proven experience as an Analytics Engineer or in a similar role.
• Strong proficiency in BI tools such as Tableau, Power BI, or similar.
• Experience with the end-to-end lifecycle of analytics projects.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Exposure to Google Cloud Platform (GCP) and BigQuery.
• Experience in developing and maintaining data models.
• Knowledge of SQL and data warehousing concepts.
• Experience with Anaplan or other EPM (Enterprise Performance Management) tools.

Anaplan is seeking a talented and motivated Analytics Engineer to join our growing team. In this role, you will be responsible for the end-to-end delivery of analytics solutions, from gathering user requirements to testing and production support. You will work closely with stakeholders to understand their needs and transform data into actionable insights.

Responsibilities

• Design, develop, and maintain scalable and robust analytics solutions.
• Gather and document user requirements for analytics and reporting.
• Develop and manage BI dashboards and reports using tools like Tableau.
• Conduct testing and provide production support for analytics solutions.
• Collaborate with data engineers and other teams to ensure data quality and availability.

Qualifications

• Proven experience as an Analytics Engineer or in a similar role.
• Strong proficiency in BI tools such as Tableau, Power BI, or similar.
• Experience with the end-to-end lifecycle of analytics projects.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Exposure to Google Cloud Platform (GCP) and BigQuery.
• Experience in developing and maintaining data models.
• Knowledge of SQL and data warehousing concepts.
• Experience with Anaplan or other EPM (Enterprise Performance Management) tools.

We are seeking an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines and will be proficient in a variety of data technologies. You will be responsible for designing, implementing, and managing our data infrastructure to support our data analytics and business intelligence initiatives.

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain robust and scalable ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc.
• Data Warehousing: Develop and manage our data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible.
• Data Processing: Utilize Databricks and Python to process and transform large volumes of data efficiently.
• DevOps & Automation: Implement and manage CI/CD pipelines for data workflows using DevOps best practices and tools like Dataform and GitHub.
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide them with high-quality data.
• Data Modeling & BI (Optional): Develop data models and support BI initiatives by creating dashboards and reports in tools like Tableau.
• EPM Integration (Optional): Integrate data with our Anaplan platform to support connected financial and operational business planning.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of proven experience in a data engineering role.
• Strong proficiency in SQL and extensive experience with Google BigQuery.
• Hands-on experience with big data technologies such as Databricks and Dataproc.
• Experience with ETL/ELT tools like Informatica.
• Proficiency in orchestrating data pipelines with Airflow.
• Strong programming skills in Python.
• Solid understanding of DevOps principles and experience with Dataform and GitHub for CI/CD and version control.

Preferred Qualifications

• Experience with BI visualization tools, particularly Tableau.
• Familiarity with EPM tools, especially Anaplan.
• Relevant certifications in Google Cloud Platform (GCP) or other data technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

We are seeking an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines and will be proficient in a variety of data technologies. You will be responsible for designing, implementing, and managing our data infrastructure to support our data analytics and business intelligence initiatives.

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain robust and scalable ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc.
• Data Warehousing: Develop and manage our data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible.
• Data Processing: Utilize Databricks and Python to process and transform large volumes of data efficiently.
• DevOps & Automation: Implement and manage CI/CD pipelines for data workflows using DevOps best practices and tools like Dataform and GitHub.
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide them with high-quality data.
• Data Modeling & BI (Optional): Develop data models and support BI initiatives by creating dashboards and reports in tools like Tableau.
• EPM Integration (Optional): Integrate data with our Anaplan platform to support connected financial and operational business planning.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of proven experience in a data engineering role.
• Strong proficiency in SQL and extensive experience with Google BigQuery.
• Hands-on experience with big data technologies such as Databricks and Dataproc.
• Experience with ETL/ELT tools like Informatica.
• Proficiency in orchestrating data pipelines with Airflow.
• Strong programming skills in Python.
• Solid understanding of DevOps principles and experience with Dataform and GitHub for CI/CD and version control.

Preferred Qualifications

• Experience with BI visualization tools, particularly Tableau.
• Familiarity with EPM tools, especially Anaplan.
• Relevant certifications in Google Cloud Platform (GCP) or other data technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

We are seeking an experienced and strategic Program Manager to lead our Data & Analytics initiatives. This role is pivotal in driving the successful delivery of complex, cross-functional data projects. You will be responsible for overseeing the entire program lifecycle, from initial conception to final deployment, ensuring that our data solutions align with business objectives and drive data-driven decision-making across the organization. You will work in a dynamic environment that leverages cutting-edge technologies, including Google Cloud Platform (GCP), Databricks, Tableau, and Anaplan.

RESPONSIBILITIES

• Lead the planning, execution, and delivery of large-scale data and analytics programs, ensuring they are on time, within budget, and meet the highest quality standards.
• Serve as the primary point of contact for all program-related communications, effectively engaging with stakeholders at all levels, from technical teams to executive leadership, to ensure alignment and transparency.
• Collaborate with product managers, data scientists, and business leaders to define the program roadmap, strategy, and key performance indicators (KPIs) for our data and analytics initiatives.
• Facilitate seamless collaboration between various teams, including data engineering, data science, business intelligence, and IT, to ensure cohesive and integrated project execution.
• Proactively identify, assess, and mitigate program risks and issues, developing contingency plans to ensure program success.
• Manage program resources, including budget, personnel, and technology, to optimize efficiency and effectiveness.
• Drive continuous improvement in our program management processes, methodologies, and tools to enhance the efficiency and effectiveness of our data and analytics delivery.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field.
• 5+ years of experience in program management, with a proven track record of successfully delivering complex, technical projects.
• Strong understanding of the full project lifecycle, from requirements gathering to deployment and support.
• Excellent leadership, communication, and interpersonal skills, with the ability to influence and negotiate effectively with a wide range of stakeholders.
• Proven ability to manage multiple projects simultaneously in a fast-paced, agile environment.

PREFERRED QUALIFICATIONS

• Experience working in a data-centric environment with a strong understanding of data warehousing, data modeling, and business intelligence concepts.
• Hands-on experience with cloud platforms, preferably Google Cloud Platform (GCP)
• Familiarity with big data technologies such as BigQuery and Databricks for data engineering and machine learning.
• Experience with data visualization tools, particularly Tableau, for creating insightful and actionable dashboards.
• Knowledge of enterprise performance management solutions like Anaplan for business planning and modeling.
• PMP, Agile, or other relevant project management certifications.

We are looking for a highly skilled and motivated Data and Analytics Systems Engineer to join our growing team. The ideal candidate will have a strong background in data engineering and analytics, with hands-on experience in designing, building, and maintaining data pipelines and analytics solutions. You will be responsible for leveraging a variety of technologies, including Google Cloud Platform, Google BigQuery, Tableau, Informatica, Databricks, Python, and Anaplan, to deliver high-quality data products and insights to our business stakeholders to ensure our Data & Analytics systems and operations are effective and efficient.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in a data engineering or analytics system management role.
• Proven experience with Google Cloud Platform (GCP), including Google BigQuery, Cloud Storage, and Cloud Functions.
• Experiences with data visualization tools, preferably Tableau.
• Proficiency in ETL/ELT tools like Informatica, Airflow, Dataproc, and so on.
• Experience with big data technologies such as Databricks and Spark.
• Strong programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Familiarity with the Anaplan platform is a plus.
• Excellent problem-solving and communication skills.
• Ability to work independently and as part of a team.

We are seeking an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines and will be proficient in a variety of data technologies. You will be responsible for designing, implementing, and managing our data infrastructure to support our data analytics and business intelligence initiatives.

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain robust and scalable ETL/ELT pipelines using tools like Informatica, Airflow, and Dataproc.
• Data Warehousing: Develop and manage our data warehouse on Google BigQuery, ensuring data is accurate, available, and easily accessible.
• Data Processing: Utilize Databricks and Python to process and transform large volumes of data efficiently.
• DevOps & Automation: Implement and manage CI/CD pipelines for data workflows using DevOps best practices and tools like Dataform and GitHub.
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide them with high-quality data.
• Data Modeling & BI (Optional): Develop data models and support BI initiatives by creating dashboards and reports in tools like Tableau.
• EPM Integration (Optional): Integrate data with our Anaplan platform to support connected financial and operational business planning.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of proven experience in a data engineering role.
• Strong proficiency in SQL and extensive experience with Google BigQuery.
• Hands-on experience with big data technologies such as Databricks and Dataproc.
• Experience with ETL/ELT tools like Informatica.
• Proficiency in orchestrating data pipelines with Airflow.
• Strong programming skills in Python.
• Solid understanding of DevOps principles and experience with Dataform and GitHub for CI/CD and version control.

Preferred Qualifications

• Experience with BI visualization tools, particularly Tableau.
• Familiarity with EPM tools, especially Anaplan.
• Relevant certifications in Google Cloud Platform (GCP) or other data technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

We are seeking a highly motivated and experienced Data Governance/Data Quality Engineer to join our growing data team. In this role, you will be responsible for designing, implementing, and maintaining our enterprise data governance framework. You will play a key part in ensuring the quality, integrity, and security of our data assets, enabling data-driven decision-making across the organization. You will have the opportunity to work with cutting-edge technologies and collaborate with various teams to build a robust data governance practice.

Responsibilities:

Qualifications:

• Proven experience as a Data Governance and Data Quality Engineer or similar role.
• Hands-on experience with Collibra, including Data Catalog, Data Lineage, and Data Quality Center.
• Strong understanding of data governance principles and best practices.
• Experience with data quality and data observability tools and methodologies.
• Excellent communication and interpersonal skills.

Preferred Qualifications:

• Experience with Google Cloud Platform (GCP) and Google BigQuery.
• Knowledge of Databricks and its data governance features.
• Familiarity with data visualization tools like Tableau.
• Relevant certifications in data governance or cloud platforms.

About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Key Responsibilities

Previous experience in developing and maintaining interactive and visually appealing dashboards using Tableau, Power BI, and Excel. 

Experience in handling healthcare data (Claims, Trials, RWE) is good to have. 

Proficiency in working with data visualization tools like Tableau and Power BI. The candidate should be able to create interactive and visually appealing dashboards, reports, and charts. 

Proficiency in Excel is important for data analysis, data manipulation, and creating Excel-based dashboards.

Strong knowledge of SQL (Structured Query Language) is essential for querying and manipulating data from relational databases.

Understanding of data modeling concepts to design efficient and effective data structures for reporting and Analysis 

Eagerness to learn and stay updated with the latest BI technologies, tools, and trends. 

Develop and maintain interactive and visually appealing dashboards using Tableau, Power BI, and Excel.

Collaborate with cross-functional teams to identify business requirements and translate them into data visualizations and reports. 

Extract, transform, and load (ETL) data from various sources to ensure accurate and consistent data for reporting. 

Optimize and fine-tune queries and data models for enhanced performance and efficiency.

Analyze and interpret data to identify trends, patterns, and opportunities for business improvement.

Educational Qualification 

Bachelors / Masters in computer science or related subjects from reputable institution 

Proven experience as a Business Intelligence Developer or similar role with 3-5 years of hands-on experience 

in creating reports and dashboards. 

About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Company Descriptor

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

Role Overview

The Data Delivery & Dashboards Executive role will report into the Dashboard Manager. The Data Delivery & Dashboards Executive will be a key member of the newly formed India-based Data Management & Delivery Hub, supporting quantitative healthcare market research projects across global markets. As a Dashboard Developer Executive, you build and maintain high impact dashboards and data visualizations that transform raw market research data into actionable insights. You’ll collaborate with researchers, analysts, and engineers to ensure data flows seamlessly from collections to visual storytelling. You will also support the team in delivering insightful, user-friendly dashboards through automated tools and off-the-shelf solutions. This is a fantastic opportunity to develop your skills in data management, quality assurance, and data visualisation, while working alongside an experienced team in a dynamic, global environment. Skill Set required

What you'll be doing

Brand Equity tracking support with our in-house platform:

• Maintain the pipeline for the project data process flow (this includes receival of data into in-hosue Tool, through the data processing stage into the storage mart, through the python utilities into required outputs)
• Maintain and update python utilities when required due to changes from the research team
• Manage and rectify when failures occur in the pipeline, liaising with both the data providers, research team and developers on the dashboard
• Manage the storage mart and data warehouse
• Support team with edits in-house platform

Data Quality Checks:
Assist in performing detailed quality control checks on large and complex datasets to ensure accuracy, completeness, and consistency.

Data Transformation & Standardisation:
Support the transformation and standardisation of data files to align with internal data structures, project needs, and client-specific formats.

Dashboard Support & Maintenance:
Assist in the creation, population, and maintenance of dashboards using off-the-shelf tools (e.g., Power BI, Tableau, or similar platforms), ensuring outputs are clear, accurate, and aligned with research objectives.

Data Delivery Management:
Help manage and organise the final delivery of data files and dashboards to internal teams and clients, ensuring timely and error-free execution.

Collaboration Across Teams:
Work closely with internal stakeholders including Development team, Data Processing, Scripting, Project Management and Research teams to ensure smooth handovers and integration of deliverables.

Documentation & Reporting:
Maintain clear documentation of processes, data transformation steps, and QC logs to support transparency, reproducibility, and audit-readiness.

Continuous Learning & Development:
Engage in training opportunities to build knowledge in healthcare data, market research workflows, dashboarding tools, and data handling best practices.

What you'll need

Your skills and experience:

Technical Expertise

• Atleast 5+ years expertise in languages like Python and SQL.
• Mastery in advanced Core Python (generators, decorators, OOP, async programming), architecture design.
• Proficient in libraries like Pandas - Joins, Melting, handling missing values, NumPy, TensorFlow etc.
• Proficient in SQL (PostgreSQL, MySQL).
• Understanding MVC/MVT, microservices, and system design principles.
• Experience in setup of data pipelines is highly desirable.
• Knowledge of high-performance framework (Django, FastAPI, Flask) is a plus.
• Cloud platform expertise (AWS, Azure, GCP), and building ETL/ELT pipelines.
• Experience in version control system.

Ideal candidate should be

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
• Ability to interpret tabulation specifications and apply them accurately.
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

Position Summary 

As an Inizio Ignite Senior Analyst you will be a core member of client engagement teams, leading sophisticated analytics workstreams and owning the development of high-impact analytical deliverables. You will apply advanced analytical, coding, and modelling skills to solve complex business problems for life sciences clients, while contributing to methodological best practices across the data analytics team. 

A significant portion of this role will focus on commercial analytics and business intelligence, including marketing and sales analytics, real-world data analysis (e.g., claims and EHR), and the design and delivery of dashboards and data visualizations that support strategic and operational decision-making. 

In this role, you will work closely with case team leadership to design and execute analytics approaches, translate ambiguous business questions into structured analytical plans, and communicate insights clearly to both internal stakeholders and clients. 

Desired Skills and Experience 

The ideal candidate for the Senior Analyst position is a highly motivated, analytically rigorous individual with strong ownership mentality, excellent communication skills, and the ability to operate independently in a fast-paced consulting environment. 

• Proven analytic experiences and problem-solving skills (Master’s degree with a major in a related field of quantitative science e.g., engineering, computer/data science, statistics, mathematics, etc.)  

• Senior Analyst: Master’s degree plus 1-2 years of relevant work experience or PhD’s degree  

• Demonstrated expertise in processing and analyzing large datasets using SQL and Python/R/SAS; strong Excel skills (e.g., Power Query, VBA) a plus, with experience applying these skills to commercial analytics use cases such as marketing performance, sales effectiveness, patient journeys, and market dynamics 

• Strong foundation in statistical analysis and machine learning, including hypothesis testing, supervised and unsupervised learning, and model evaluation 

• Experience working with cloud-based data and analytics environments (e.g., AWS, Azure, Snowflake) 

• Proficiency in business intelligence, dashboarding, and data visualization using tools such as Tableau, Power BI, or Qlik Sense, with the ability to translate analytical results into clear, decision-ready insights 

• Experience working with real-world healthcare and life sciences datasets (e.g., claims, EHR, lab, provider, Rx, and payer data; sources such as Komodo, IQVIA, Symphony, Truven, Optum, Flatiron), particularly in commercial and market-facing analytics contexts; familiarity with omnichannel commercial analytics (e.g., HCP engagement, marketing mix, channel performance) is a plus 

• Ability to independently structure analyses, manage multiple priorities, and deliver high-quality work under tight timelines 

• Strong written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical audiences 

• Experience working effectively as part of hybrid teams across multiple geographies, demonstrating strong collaboration, adaptability, and comfort operating in a global consulting environment  

About the Role:

We are looking for a hands-on Senior Data Product Manager to join Payoneer's Data Product Unit - the central hub for data product management across the company. In this role, you will be part of a dedicated squad responsible for data products serving the Finance organization, working closely with Finance stakeholders to design and deliver data products that support operational financial capabilities, book closing processes, regulatory reporting, and analytical needs.

You will lead the data product lifecycle end-to-end - from understanding business and regulatory challenges, defining analytical and operational needs, through designing scalable data models and assets, to delivering high-quality data products that empower the Finance organization.

As part of a globally distributed Finance Data Squad, you will collaborate closely with team members across multiple locations worldwide, as well as with the BI developers based alongside you in India. This role is ideal for a product-minded, business-oriented data person who is both strategic and hands-on, and who thrives on connecting complex financial business goals with technical execution.

What You'II Do:

• Own and drive your data product items within the Finance squad roadmap, aligned with strategic business goals, regulatory requirements, and SLA commitments - actively contributing to the squad's shared priorities and delivery goals.
• Work closely with Finance stakeholders to understand data needs, define and prioritize use cases, and develop solutions that improve data accessibility and usability.
• Translate business and regulatory objectives into clear data requirements, KPIs, and technical specifications (PRD and STT).
• Design, develop, and maintain scalable, reliable, and high-performance data products and models that serve analytical, operational, and regulatory reporting use cases.
• Partner closely with BI developers in India to ensure seamless integration of data products with reporting and visualization layers.
• Collaborate with Data Engineering and BI globally to implement and deliver high-quality solutions end to end.
• Ensure alignment and consistency between Finance domain-level data products and the company's core data assets.
• Drive data quality standards and maintain SLA commitments critical to financial reporting and regulatory stability.
• Maintain clear and proactive communication with stakeholders across global teams, ensuring transparency, clarity, and measurable outcomes.
• Monitor usage, adoption, and business impact of delivered data products, iterating based on feedback.
• Contribute to the broader data modernization and innovation initiatives led by the Data Product Unit.

Who You Are:

• 5+ years of experience in data product management, data analytics, or data-driven product roles, with proven hands-on experience.
• Strong understanding of data modeling, data warehouse architecture, and data pipeline design - experience with cloud platforms such as BigQuery required. (ETL Experience)
• Solid business acumen with a good understanding of financial data domains including financial reporting, revenue recognition, balances, and regulatory data.
• Excellent communication and stakeholder management skills - fluent English, capable of bridging business and technical conversations clearly and effectively across a globally distributed team.
• Proficiency in SQL and practical data analysis - comfortable diving into data and validating results.
• Experience working within cross-functional delivery squads with Data Engineering and BI.
• Strong quality orientation with experience defining and enforcing data quality standards, SLA tracking, and issue management.

Must have:

• ETL Experience- data modeling, data warehouse architecture, and data pipeline design - experience with cloud platforms such as BigQuery required
  Proficiency in SQL and practical data analysis - comfortable diving into data and validating results.
• Work with Data & Engineering team (stakeholders) + non-technical team (officers of regulations; finance team

Nice to have:

• Experience working in fintech, payments, or financial services environments.
• Familiarity with regulatory reporting requirements and compliance-driven data products.
• Experience with visualization tools such as Looker, Power BI, or Tableau.
• Background in building data products at scale within multi-domain or globally distributed organizations.
• Experience working with geographically distributed teams across multiple time zones.

#LI-PG1 

Key Responsibilities

· Own ad-hoc analytical requests within a defined scope, delivering fast, reliable, and well-documented outputs.

· Translate business and product questions into clear analytical goals, queries, metrics, and KPIs.

· Build and maintain dashboards, visualizations, and alerts that enable self-service decision-making.

· Optimize SQL queries and data processing in BigQuery for performance and cost.

· Design and maintain scalable data layers and models in BigQuery to support AI agents, self-service BI, and product/operational monitoring.

· Lead end-to-end analytical workflows: scoping, extraction, analysis, validation, and presentation.

· Monitor key processes and metrics, proactively surfacing anomalies and opportunities.

· Collaborate with Product, Data Engineering, and business teams on tracking, data contracts, and data quality, ensuring consistent, well-documented data.

Have you done this kind of stuff?

· 2–4 years as a Product/Data/Business Analyst (fintech a plus) and a relevant bachelor’s degree.

· Strong SQL with hands-on BigQuery experience, including optimizing complex queries and data processing.

· Experience designing analytics data models/layers and working with large, event-level datasets.

· Proficient in BI and visualization tools (e.g., Looker, Power BI, Tableau) and building stakeholder-facing dashboards.

· Proven ability to define/track KPIs, translate ambiguous business questions into structured analysis, and communicate insights clearly.

· Interest or experience in building data foundations for AI-driven and self-service analytics; Python is a plus.

#LI-KC1

Job Summary

As a member of the Enterprise Reporting and Business Intelligence team, you will serve as a strategic bridge between data engineering and business end-users. You will play an end-to-end role in developing intuitive and interactive dashboards to empower GLG stakeholders to make informed, data-driven decisions. This position requires a proactive mindset to anticipate data gaps and needs as well as the ability to act as a connecting force within and across global teams.  

Key Responsibilities 

• Strategic Stakeholder Partnership: Develop a deep understanding of commercial, operational, and people data. Partner with key stakeholders to proactively anticipate data gaps and translate business questions into high-impact reporting and insights. 
• Solution Engineering & Optimization: Master the existing suite of enterprise dashboards to drive adoption and cohesion. Proactively identify opportunities to enhance existing assets versus building net-new solutions to ensure a streamlined user experience. 
• Cross-Functional Collaboration: Work closely with partners in Advanced Analytics, Product, Finance, Engineering, and Commercial Operations. Act as the glue between these teams, proactively surfacing opportunities and advocating for deeper partnership and involvement by specialist teams. 
• Data Modeling & Strategy: Design and maintain effective LookML models and dashboards. Work closely with data engineers to integrate new data sources, improve data quality, and optimize data infrastructure to support long-term business goals. 
• User Support, Empowerment, and Continuous Improvement: Facilitate the broad adoption of BI solutions by delivering training and proactive assistance, ensuring end-users are equipped to self-serve and derive value from data. Troubleshoot and resolve issues with dashboards and underlying databases while simultaneously documenting methodologies to ensure transparency and consistency across the enterprise. 

Requirements 

• Education: A bachelor's degree in a quantitative field such as Computer Science, Mathematics, or Statistics. 
• SQL Experience: Minimum 3 years of experience working with relational databases and proficiency in SQL. 
• BI Tool Proficiency: Solid working knowledge of one or more Enterprise Business Intelligence tools, specifically Looker, Tableau, QlikView, or Power BI. 
• Communication: Strong written and verbal communication skills with the ability to translate between business and technical concepts. 
• Technical Documentation: Strong ability to identify, define, and document business requirements, functionality, and systems. 
• Autonomy: Proven ability to work autonomously with minimal supervision. 

Preferred Qualifications 

• Experience with Snowflake or similar cloud data warehouses. 
• Proficiency in version control tools like GitHub. 
• A passion for acting as a consultant to the business, identifying trends and opportunities that others might miss. 

Your Impact

As the Product Manager, you will be the critical bridge between engineering, the Business Intelligence (BI) team, and product leadership. You will oversee the strategic direction of our Enterprise Data Warehouse (EDW), ensuring it serves as a robust foundation for product analytics and business-critical operations like financial reporting and customer success. Your primary mission is to drive the adoption of a data-driven culture by streamlining product operations and managing the change necessary to integrate data into every facet of the engineering and product lifecycle.   

What You'll Do

• Strategic Data Leadership: Lead the Enterprise Data Warehouse (EDW) investment plan and data strategy to enable data-driven decision-making across the organization.
• Drive the Roadmap: Partner with the Gurugram engineering team to translate technical research into production-ready services and prioritize infrastructure roadmaps that unblock feature teams.
• Delivery Strategic Outcomes: Oversee the optimization of EDW operations, manage engineering queues, and coordinate critical initiatives like billing data integration.
• Stakeholder Advocacy & Change Management: Act as the "voice of the business" to drive wide-scale adoption of platform services and standardize analytics tools across PM teams.

Who You Are

• Data Strategy & Product Experience: 2–3 years of proven success driving enterprise data roadmaps. You possess the technical literacy to navigate APIs, EDW architectures, and product analytics with ease.
• Modern Data Stack Proficiency:
  • Cloud Infrastructure: Experience with platforms like Snowflake, BigQuery, or Databricks, including a solid understanding of cloud cost optimization (FinOps).
  • Governance & Compliance: Familiarity with data privacy regulations (GDPR, CCPA) or experience implementing data lineage and metadata management frameworks.
  • Advanced Analytics: Hands-on experience with modern BI tools (e.g., Looker, Tableau, or Sigma) to help standardize the organization’s "analytics toolset."
• Stakeholder Management: A skilled navigator of complex relationships across Engineering, BI, and Executive leadership, with a talent for aligning overlapping scopes and shared goals.
• Operational Excellence: An expert at queue management and process definition, dedicated to improving the quality of engineering outputs through rigorous grooming and bug-catching.
• Strategic & Adaptive Thinking: The capability to redefine your role as business needs shift—specifically the ability to transition from a purely technical focus to a stakeholder-facing advocacy role.

Even Better If You Have...

• Legal Tech Domain Expertise: Prior experience working with e-discovery, legal hold software, or enterprise risk management platforms.
• Technical Certifications: Professional certifications in modern data platforms (e.g., Snowflake SnowPro Core, Google Cloud Professional Data Engineer, or Databricks Certified Associate).
• Software Engineering Background: A past life as a developer or data engineer, specifically working with Python, SQL, or Scala, to better partner with the engineering team.
• Customer Focus & Insight: Deeply understand user needs and pain points through research to guide product decisions.
• Strategic Clarity: Create and communicate clear direction aligned with business goals and measurable outcomes.
• Delivery of Top Priorities: Drive high-quality and timely delivery of the most important new products and experiences.
• Own the Outcome: Take full responsibility for achieving results and measurable impact from definition through iteration.

Perks of DISCO

• Open, inclusive, and fun environment
• Benefits, including medical and dental insurance
• Competitive salary plus discretionary bonus
• Opportunity to be a part of a startup that is revolutionizing the legal industry
• Growth opportunities throughout the company

WHO YOU ARE:

We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities. In this role, you will independently own and drive analytics initiatives within the Operations team, translating data into actionable insights that improve efficiency, decision-making, and key business KPIs. 

You will work closely with stakeholders across Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data. 

WHAT YOU’LL DO:

• Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization.
• Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights.
• Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance.
• Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven decision-making.
• Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools.
• Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.
• Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work.
• Thought leadership & best practices: Drive data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence.

WHAT YOU’LL NEED:

• 6+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization. 
• Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets. 
• Experience designing A/B tests and experimentation frameworks to drive operational improvements. 
• Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling. 
• Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics. 
• Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership. 
• Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations. 
• Strong problem-solving skills and a proactive mindset to identify business opportunities using data 

Bonus Points If You Have:

• Experience with ML/AI applications in operational efficiency (e.g., anomaly detection, predictive modeling, workforce automation). 
• Familiarity with event-tracking frameworks and behavioral analytics. 
• Strong data storytelling skills—can translate complex data into concise, compelling narratives. 
• Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics. 

WHAT’S IN IT FOR YOU?

At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

_#LI-RS1

WHO YOU ARE:

We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities. In this role, you will independently own and drive analytics initiatives within the Operations team, translating data into actionable insights that improve efficiency, decision-making, and key business KPIs. 

You will work closely with stakeholders across Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data. 

WHAT YOU’LL DO:

• Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization.
• Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights.
• Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance.
• Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven decision-making.
• Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools.
• Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.
• Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work.
• Thought leadership & best practices: Drive data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence.

WHAT YOU’LL NEED:

• 5+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization. 
• Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets. 
• Experience designing A/B tests and experimentation frameworks to drive operational improvements. 
• Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling. 
• Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics. 
• Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership. 
• Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations. 
• Strong problem-solving skills and a proactive mindset to identify business opportunities using data 

Bonus Points If You Have:

• Experience with ML/AI applications in operational efficiency (e.g., anomaly detection, predictive modeling, workforce automation). 
• Familiarity with event-tracking frameworks and behavioral analytics. 
• Strong data storytelling skills—can translate complex data into concise, compelling narratives. 
• Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics. 

WHAT’S IN IT FOR YOU?

At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

_#LI-RS1