The Difference You Will Make

- Serve as the primary data thought partner to product and business leaders across Community Support, providing strategic insights, recommendations, and enabling data-informed decisions at an organizational level.

- Drive day-to-day product analytics and create scalable, reusable data tools and frameworks that elevate the entire team's analytical capability.

- Build and scale advanced analytical capabilities; leverage Company's state-of-the-art machine learning infrastructure and central data science tools to collaborate with engineers, product managers, designers, and operations agents to achieve shared, cross-functional goals.

- Champion AI-first analytics practices across the team identifying high-impact opportunities to integrate LLM-based tools, AutoML, and advanced AI capabilities into analytical workflows.

- Demonstrate a robust sense of urgency and commitment to Company's mission of belonging.

- Develop a deep understanding of how guests and hosts interact with our Community Support platform and how we can manage risk while meeting regulatory compliance requirements through structured and unstructured data sources.

- Mentor and guide junior analysts, fostering a culture of analytical rigor, curiosity, and continuous skill development.

A Typical Day

- Drive the product analytics roadmap, prioritization, and delivery of solutions in the Strategic Planning & Operations space, operating with minimal direction and planning up to 6 months ahead.

- Lead projects end-to-end: building timelines, defining key milestones, providing regular updates to product managers and analytics leadership,



and delivering against agreed timelines.

- Work closely with Product Managers and Business leads to design, execute, and evaluate A/B tests; proactively identify and communicate common pitfalls and caveats of experimentation.

- Build credibility and trust with the team by building high-quality ground truth datasets and dashboards that empower stakeholders to answer data questions quickly and independently.

- Collaborate with Product Engineering to spec out logging and with Analytics Engineering to build scalable data tools for mass consumption within Company.

- Devise business metric frameworks and optimization models to support Company's product, operations, and policy decisions at scale.

- Influence data-driven decisions across global sites and business verticals via business reviews, self-serve portals, planning scorecards, and impact analyses.

- Experiment with new Company policy/product features to help deter and mitigate risk; translate findings into actionable recommendations for leadership.

- Lead and influence machine learning model development in partnership with DS/Engineering teams to automate policy enforcement decisions, while routing the most complex cases for manual review.

- Proactively identify opportunities to apply AI-assisted tools (e.g., LLMs, AutoML, NLP pipelines) to accelerate analytical delivery and unlock new analytical capabilities.

- Ensure the availability of data quality and integrity for analysis and reporting by blending external and internal data sources, working closely with global operations and analytics functions.

📌 Head of Analytics (Gurugram)
🏢 WhiteSlips Job Management Consultants
📍 Gurugram