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:
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