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.

We are looking for an exceptionally talented Trade and Regulatory Compliance Product Lead to join the Product Management Group in our Hyderabad & Bangalore office. This group is responsible for working with technology teams throughout the process lifecycle to specify, develop, and implement the firms’ infrastructure and new middle-and-back-office applications.

This position offers exciting opportunities to bridge product management and client relationship management; and to collaborate with some of the brightest minds in the industry.

What you’ll do:

• Own Product Vision & Roadmap: Drive the strategic vision for a global share disclosure reporting product, owning the complete lifecycle from requirements through execution. Create and maintain a prioritized backlog incorporating ROI analysis and product effectiveness, while ensuring alignment with strategic goals.
• Define Regulatory Workflows: Design end-to-end workflows for regulatory disclosure filings across multiple jurisdictions (US SEC, UK FCA, EU ESMA, etc.).
• Translate Specifications into Product: Work closely with engineering teams to translate product specifications into design and implementation while maintaining clear communication on project plans, release notes, and comprehensive product documentation.
• Execute Hands-On Technical Work: Actively engage with APIs (RESTful, GraphQL) for data integration, perform complex data manipulation using SQL and Python, and build interactive dashboards using Google Looker. Prototype features, validate calculations and data accuracy, and troubleshoot issues for filing integrity.
• Manage Stakeholder Communication & Feedback: Communicate effectively with all stakeholders including clients, operations teams, and compliance officers. Conduct product demos and training sessions, gather and synthesize feedback to drive continuous improvement.
• Monitor Market & Regulatory Landscape: Stay on top of the dynamically evolving business environment by tracking regulatory technology (RegTech) trends, conduct competitive analysis and identify differentiation opportunities to maintain market leadership.

What you’ll need:

• 3-5 years of experience in investment management domain or developing/managing software technology products, with demonstrated expertise in data products or SaaS platforms in financial services, preferably in regulatory reporting or post-trade operations.
• Regulatory Domain Expertise: Deep understanding of global share disclosure regulations including Form 13F, 13G/D, Schedule 13D, UK Takeover Code (Rule 8), EU Short Selling Regulation (SSR), and other regimes.
• API & Data Integration Proficiency: Hands-on proficiency with APIs including experience consuming, testing, and integrating RESTful APIs including the ability to read and understand technical documentation, data schemas, and API specifications to orchestrate complex data workflows.
• Data Manipulation & Analysis Skills: Strong proficiency in SQL and at least one scripting language (Python) for data transformation and analysis.
• Data Visualization & Business Intelligence: Demonstrated expertise building dashboards and reports using Google Looker or similar tools.
• Excellent critical thinking skills with the ability to articulate viewpoints and influence stakeholders effectively.
• A distinguished academic background and a strong passion for working in a high-tech software development environment.
• Proven ability to manage multiple deliverables concurrently.

Arcesium's Personal Data Privacy Notice for Candidates is linked here. 

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

About Payoneer 

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 markets. 

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. 

Role summary 

We’re looking for a Director of Data who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment. 

Lead Payoneer’s Data function in India as the primary POC for the global Data organization, covering BI/DE/DPM/Analytics. Own all sprint work, ensuring India’s full workplan is represented in planning ceremonies and executed with high quality. 

Location - Gurugram (Work from Office) 

What You'll Do: 

• Leadership & Site Ownership – Manage and develop the India Data team while representing global data disciplines locally; ensure clear standards, strong execution, and alignment. 
• Sprint Ownership & Workplan Execution – Own the full sprint cycle end-to-end; represent India in planning, highlight dependencies, and ensure committed work is delivered. 
• Orchestration Across Data Functions – Coordinate ingestion, modeling, reporting, data product work, and governance; remove blockers and ensure seamless collaboration with global teams. 
• Data Product & Requirements Management – Translate business needs into scoped data requirements; ensure consistent definitions, modeling standards, and high-quality outputs. 
• Governance, Quality & Compliance – Enforce data governance, documentation, PII and audit processes; ensure India deliverables meet data quality and compliance expectations. 
• Modernization & Platform Alignment – Lead India execution for cloud migration, Looker rollout, semantic layer, and event framework adoption; drive adherence to modern best practices. 
• Cross-Functional Collaboration – Partner with product, engineering, compliance, and domain leaders; communicate progress, risks, and capacity clearly across global forums. 

What We're Looking For: 

• 8–12+ years in Data/Analytics with 4+ years in leadership roles. 
• Strong background in BI, Data Engineering, or Data Product Management. 
• Experience leading cross-functional data teams in global/matrix setups. 
• Hands-on knowledge of modern data stacks (BigQuery, Looker). 
• Excellent communication, prioritization, and stakeholder-management skills. 
• Ability to drive structure, alignment, and predictable delivery. 

Nice to have 

• Experience with Google Cloud Platform (GCP). 
• Experience with AI tools. 
• Proficiency in data modeling techniques. 
• Knowledge and understanding of the payments industry. 
• Bachelor's degree in industrial engineering/information systems or equivalent. 

What Success Looks Like 

• India becomes a predictable, autonomous, high-quality extension of the global Data org. 
• Sprint commitments are consistently delivered with clear visibility and alignment. 
• Stakeholders experience smooth collaboration and strong delivery quality from India. 
• Governance and audit standards are met consistently with minimal rework. 
• India accelerates modernization initiatives (Looker, BigQuery, event frameworks). 

#LI-AK1

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

About Payoneer 

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 markets. 

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. 

Role summary 

We’re looking for a Senior BI Developer who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment. 

Location - Gurugram (Work from Office) 

What You'll Do: 

Design, develop, and deploy end-to-end BI and analytics solutions in the Google Cloud environment, primarily using BigQuery, dbt, and Looker, across the full lifecycle: data transformation, modeling, testing, and production deployment. 

Translate business requirements into technical specifications, including defining data models, establishing relationships between data entities, and incorporating business logic into the analytical layer. 

Lead complex BI initiatives end-to-end, including breaking down work into manageable tasks, driving execution, and collaborating closely with other developers and stakeholders. 

Provide ongoing BI support to the Finance department, including preparation of monthly reports, ad hoc analyses, and compliance with regulatory requirements. 

Develop and maintain data pipelines to support BI solutions. 

What We're Looking For: 

6+ years of experience as a Senior BI Developer, with expert-level proficiency in SQL. 

Hands-on experience with Looker and dbt – mandatory! 

A proactive, problem-solving mindset. 

Strong sense of ownership and accountability. 

Proven ability to translate complex BI requirements into manageable technical tasks, spanning the process from data sourcing to final report. 

Strong experience designing and building data pipelines / ELT workflows, ideally in modern cloud data environments. 

Proven ability to independently lead complex technical tasks, collaborate with other developers, and drive delivery from data sources and transformation through semantic modeling and final reporting. 

An open-minded, inquisitive, and enthusiastic learner with a readiness to embrace modern technologies and adapt to new challenges. 

Advanced analytical capabilities, effective multitasking skills, and a strong aptitude for creative problem-solving. 

Not necessary but a great advantage 

Experience with Google Cloud Platform (GCP). 

Experience with AI tools. 

Proficiency in data modeling techniques. 

Knowledge and understanding of the payments industry. 

Bachelor's degree in industrial engineering/information systems or equivalent. 

#LI-AK1

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 

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