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

Experience: 810 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: rachna@latinumhr.com jobs@ats.latinumhr.com .