About Us
Started in 2019, STAGE is an entertainment platform for regional cultures known for producing premium quality content in Indian languages to reinforce, protect and validate people’s sense of identity for their culture and heritage.
We currently focus on Haryanvi, Rajasthani and Bhojpuri languages. Our mobile apps have 15 Mn+ downloads and 4 Mn+ paying customers globally. That makes STAGE the biggest media platform in these regions.
In 2023, STAGE was also featured on Shark Tank India S2. Watch our story here.
Job Description
Key Responsibilities
- Analyze user behavior and product usage metrics to identify growth opportunities.
- Design, run, and evaluate A/B tests and other growth experiments.
- Build dashboards and reports to monitor key growth metrics (acquisition, activation, retention, revenue).
- Collaborate with product, marketing, and engineering teams to implement data-driven growth initiatives.
- Provide actionable insights from data to optimize funnels and improve user engagement.
- Track and report on performance of growth initiatives to stakeholders and leadership.
Requirements
- 2–5 years of experience as a Product Analyst, Data Analyst, or in a growth analytics role.
- Strong analytical skills and proficiency in SQL and data visualization tools (e.g., Tableau, Looker, Power BI).
- Experience designing and interpreting A/B tests and experiments.
- Familiarity with growth metrics, funnels, and user behavior analytics.
- Strong problem-solving skills and ability to turn data into actionable recommendations.
- Excellent communication skills to present insights to cross-functional teams.
- Prior experience in consumer internet, OTT, or product-focused startups is a plus.
Eligibility Criteria
- Minimum 2 years of relevant experience in product or growth analytics.
- Strong understanding of metrics-driven growth and experimentation.
- Ability to work in a fast-paced, collaborative environment.
Benefits
What We Offer
- Opportunity to work on growth initiatives impacting millions of users.
- Exposure to large-scale data and analytics-driven decision-making.
- Collaborative and innovative work environment.