Manager Analytics

Job Summary: As an Manager - Analytics, you'll be responsible for driving data-driven projects, designing complex data solutions, providing valuable insights to stakeholders and contributing to the growth of our Ads product and business metrics. About the team: The Central Analytics team is embedded within various business & product teams in a matrix structure to be a thought partner and provide comprehensive data insights to drive strategic decisions. This team is the strategic enabler for JioHotstar’s Ads business and product functions. In a world where consumers have endless entertainment choices, we help decode who they are, what they like and how they are relevant to JioHotstar Advertisers. At the core, we analyze consumer experience, consumer supply, advertisers demand, and our Ad serving capabilities to achieve goals (KPIs) across Ads product, Advertisers objectives, and Ads business planning. We design and leverage experiments, apply GenAI for innovative problem-solving, and build analytical frameworks that guide key decisions. Our goal: to keep teams sharp, informed, and focused on the KPIs and drivers that truly matter. Key responsibilities: Develop and maintain foundational frameworks and shared components for Android Apply the analytics knowledge/skills in problem-solving and deliver actionable insights  Generate and deliver quality data insights by creating reports, dashboards, and structured documented formats or summaries using tools such as Power BI, Tableau, and other analytics platforms Develop a deep understanding of the data platform, technology stack, and ETL processes to ensure accurate analysis and reporting  Utilize statistical techniques to validate findings and draw meaningful conclusions  Communicate complex data concepts effectively to both technical and non-technical audiences Partner with stakeholders to identify opportunities, support strategic decisions, and drive growth through predictive modeling and analysis Manage projects end-to-end, write efficient queries, and optimize performance through A/B testing and solution design Contribute data-driven insights in experiments and help build a culture of innovation, collaboration, and continuous improvement Establish and mentor a team of product analysts Skills and attributes for success: Demonstrate expertise in predictive analysis, with a strong command of R, SQL, Python, Pyspark Familiarity with working with big data platforms and tools (e.g., Hadoop, Spark, Hive) is preferred Experience in dashboard building and data visualization using tools like Tableau, Power BI, or similar platforms is a strong plus Possess advanced technical skills and the ability to collect, organize, and disseminate information accurately  Familiar with digital analytics and clickstream data  Strong communicator with the ability to present complex insights clearly to both technical and non-technical audiences