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
A passion for the entertainment industry and a strong understanding of online video streaming platforms (a plus) 
Experience in Adtech and OTT platforms is preferred
Preferred education and experience: Bachelor's or Master's degree in Engineering, Mathematics, Operational Research, Statistics, Physics, or a related technical discipline, with 7-10 years of experience in Business/Product Analytics, preferably from consumer technology companies