Senior Analytics Manager Product Analytics (OTT | Gaming | FinTech | Social Media)

Experience: 8–10 Years

Location: Gurugram Sector 61

Work Schedule: Monday to Friday | On-site

Salary: Up to 48 LPA (Depending upon Experience)

Education: Bachelor's degree in Statistics, Economics, Computer Science, Engineering, or a related quantitative field. An advanced degree is preferred.

Preferred Background: Consumer Internet | OTT | Social Media | Messaging Apps | Gaming | Marketplace | FinTech | Food Delivery | B2C Product Companies

About the Company

Join a leading consumer technology company building a privacy-first messaging platform used by millions of users. The organization leverages large-scale data and advanced analytics to drive product innovation, enhance user engagement, and accelerate business growth through data-driven decision-making.

Key Responsibilities

• Own the end-to-end product analytics roadmap across key business areas.
• Define and monitor key metrics for engagement, retention, growth, and monetization.
• Conduct deep-dive analysis on user behavior, funnels, cohorts, and product performance to uncover actionable insights.
• Partner with Product, Growth, Engineering, and Leadership teams to influence strategic decisions using data.
• Design, execute, and evaluate A/B testing and experimentation frameworks.
• Develop dashboards, reports, and self-service analytics solutions for business stakeholders.
• Ensure data quality, governance, and scalable event tracking in collaboration with Data Engineering teams.
• Lead, mentor, and develop a high-performing analytics team.
• Present insights and business recommendations to senior leadership.
• Support campaign measurement, attribution analysis, ROI tracking, and investor/business reporting.

Required Skills

• Strong expertise in SQL and Python or R.
• Hands-on experience with A/B Testing and experimentation methodologies.
• Proficiency in Tableau, Looker, Metabase, or similar BI tools.
• Experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift.
• Strong understanding of DAU/MAU, Retention Analysis, Funnel Analysis, Cohort Analysis, User Engagement, and Product Metrics.
• Experience managing or mentoring analytics teams.
• Excellent analytical, stakeholder management, communication, and problem-solving skills.

Preferred Skills

• Experience working with high-traffic consumer applications or product-based technology companies.
• Exposure to Growth Analytics, Lifecycle Marketing, and User Segmentation.
• Familiarity with event tracking platforms such as Amplitude, Mixpanel, or Firebase.
• Understanding of data modeling, pipeline design, and basic machine learning concepts.

Interested and eligible candidates can share their updated CV at:

[HIDDEN TEXT]

[HIDDEN TEXT]