Product Analyst

6 days ago

Mumbai, Maharashtra, India Hansa Cequity Full time US$ 90,000 - US$ 1,20,000 per year

Overview:

We are looking for a highly skilled Lead Data Analyst to drive analytics across our OTT platforms, and media data pipelines. This role is ideal for someone with a deep understanding of user behavior, content consumption patterns, and app performance, along with AWS Cloud expertise and strong command over SQL, Python, and BI tools.

Key Responsibilities:

  • Design, build, and maintain scalable ETL workflows and data pipelines across platforms (OTT, Mobile Application & DTH).
  • Analyze app usage behavior, recharge patterns, session data, and content consumption to uncover insights and drive user engagement.
  • Collaborate with product, marketing, technology, and content teams to translate business goals into analytical solutions.
  • Conduct ad-hoc deep-dive analysis on churn, retention, and user journey to inform business and product strategies.
  • Monitor and report key metrics like ARPU, session duration, retention, conversion, and viewership trends.
  • Ensure data integrity, quality, governance, and alignment across all data sources and reports.
  • Leverage AWS Cloud tools (Redshift, Athena, Glue) and contribute to data infrastructure and automation efforts.
  • Support data science initiatives, including feature engineering, modeling support, and experimentation (A/B testing).
  • Mentor junior analysts and foster a data-first culture within cross-functional teams.

Skills & Qualifications:

  • 5+ years of experience in data analytics, preferably in OTT, media, or app-based environments.
  • Strong experience in SQL, Python, and NoSQL databases (e.g., MongoDB).
  • Familiarity with Firebase, Mixpanel, or similar app analytics tools is a plus.
  • Expertise in dashboarding and reporting tools like Tableau, Power BI, or Apache Superset.
  • Exposure to data science tools (e.g., Python, Jupyter, ML models) and A/B testing frameworks.
  • Deep understanding of digital KPIs, user funneling, segmentation, and behavioral analytics.
  • Strong stakeholder management, storytelling, and presentation skills.
  • Proactive, collaborative mindset with the ability to lead data initiatives independently

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