Manager - Business Analytics, Consumer Growth
Indexed description
The role will coordinate with the central analytics teams (digital & linear) to understand the JioStar consumer, churn out insights, and design platform experiments. This is not just a metrics reporting role; it is an early business-building role.
Key Responsibilities
- Oversee the Analytics function for the consumer growth business pod and coordinate with the central analytics team and linear TV team for data and insights generation.
- Ensure strong alignment with Central Analytics on data definitions, dashboards, tracking and governance.
- Build the core measurement framework: frequency, retention, engagement, churn, resurrection, tier progression, rewards, and user value.
- Analyze user behavior across cohorts, content genres, sports, entertainment, devices, regions and frequency bands.
- Identify patterns in audience behavior, content performance, and market trends to power construct decisions.
- Partner with Product, Growth, Data Science, and Business teams to design experiments and measure impact.
- Develop business intuition, formulate hypotheses, conduct A/B testing, and leverage data to scale product and business initiatives.
- Build reports and dashboards for business reviews that help leadership track what is working and where intervention is needed.
- Build and maintain structured data warehouses and dashboards across tools such as Databricks and Mixpanel.
- :4-5 years of experience in data analytics, business analytics, or growth/strategy roles.
- Strong academic background; IIT / top engineering institutes preferred, but not mandatory.
- Experience in consumer internet, OTT, media, gaming, e-commerce, fintech, loyalty or subscription businesses is a plus.
- Hands-on experience and proficiency in SQL, Databricks, Mixpanel, Redash, or similar platforms.
- Strong analytical skills and a deep understanding of consumer behavior.
- Strong understanding of cohorts, funnels, retention, segmentation, A/B testing, and experimentation.
- Strong understanding of data warehousing, data pipelines, and data modeling techniques.
- Self-motivated and organized, with the ability to manage multiple priorities in a fast-paced environment.
- Ability to develop processes for efficient delivery of data, information, and analyses to the business.
- A strong passion for media, content analytics, and data storytelling
- Ability to work as a high-impact individual contributor with strong leadership visibility.
- Ability to translate ambiguous business problems into structured analytical frameworks.
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