Analytics Manager

Pocket FM; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Pocket Entertainment in Bengaluru seeks an accomplished Head of Product Analytics to lead analytics for one or more strategic product verticals. You will partner with Product, Engineering, Business, Growth, and Leadership to define metrics and influence decisions.

You will build scalable reporting, mentor a high-performing team, and champion a data-driven culture by delivering actionable insights and narratives to executives.

Qualifications

• 7–10 years of experience in Product Analytics, Growth Analytics, Business Analytics, or Decision Science, with experience leading analytics teams.
• Advanced expertise in SQL and strong programming skills in Python (R is a plus).
• Strong foundation in statistics, experimentation, hypothesis testing, causal inference, forecasting, segmentation, and predictive analytics.
• Experience working with large-scale user behavior, clickstream, and event-level datasets.
• Strong knowledge of modern BI and analytics platforms (Tableau, Looker, Power BI, Mixpanel, Amplitude, etc.).
• Experience with cloud data warehouses such as BigQuery, Snowflake, Redshift, or Databricks.
• Proven ability to influence product strategy and business outcomes through data-driven insights.
• Demonstrated experience hiring, mentoring, and developing analytics talent.

Responsibilities

• Lead and grow the Product Analytics function for one or more strategic product or business verticals.
• Partner with Product, Engineering, Business, Growth, and Leadership teams to define metrics, evaluate product performance, and influence strategic decisions.
• Build analytical frameworks that uncover opportunities across acquisition, engagement, retention, monetization, and creator ecosystem growth.
• Establish best practices for experimentation, measurement, causal inference, and metric governance across the organization.
• Own the analytics roadmap, ensuring scalable reporting, self-serve dashboards, and reliable KPI definitions.
• Collaborate with Data Engineering to improve instrumentation, event taxonomy, data quality, and real-time analytics infrastructure.
• Lead large-scale experimentation programs, ensuring statistically sound experiment design and actionable learnings.
• Translate complex analyses into compelling narratives and executive-level recommendations.
• Build, mentor, and develop a high-performing team of Product Analysts while fostering a culture of analytical rigor and curiosity.
• Champion a data-driven culture by enabling teams to make faster, better product decisions through insights.

Skills

SQL

Python

R

Statistics

Experimentation

Forecasting

Hypothesis testing

Causal inference

Data storytelling

Leadership

Mentoring

Segmentation

Education

Bachelor's or Master's in Engineering/CS/Statistics/Mathematics/Economics/OR or quantitative discipline

Tools

Tableau

Looker

Power BI

Mixpanel

Amplitude

BigQuery

Snowflake

Redshift

Databricks

Job description

Pocket Entertainment is a global leader in immersive audio storytelling, creating richly produced narrative experiences that engage millions of listeners across the world.

With over 100 billion minutes streamed annually, an average of 120 minutes of daily listening time, and more than 6 billion total audio plays, Pocket FM is on a mission to build the world's largest AI-powered audio streaming platform, powered by a thriving community of 250,000+ creators. The platform continues to see rapid growth in the US and India, with strong expansion across Europe and LATAM.

Our mission is to redefine the future of storytelling by empowering writers and creators worldwide with next-generation AI tools—from story generation copilots and multilingual adaptation to expressive voice synthesis and AI-powered creative tooling. As an AI-first company, we're leveraging data and Generative AI across content creation, personalization, growth, marketing, and monetization to shape the future of entertainment.

Responsibilities

• Lead and grow the Product Analytics function for one or more strategic product or business verticals.
• Partner with Product, Engineering, Business, Growth, and Leadership teams to define metrics, evaluate product performance, and influence strategic decisions.
• Build analytical frameworks that uncover opportunities across acquisition, engagement, retention, monetization, and creator ecosystem growth.
• Establish best practices for experimentation, measurement, causal inference, and metric governance across the organization.
• Own the analytics roadmap, ensuring scalable reporting, self-serve dashboards, and reliable KPI definitions.
• Collaborate with Data Engineering to improve instrumentation, event taxonomy, data quality, and real-time analytics infrastructure.
• Lead large-scale experimentation programs, ensuring statistically sound experiment design and actionable learnings.
• Translate complex analyses into compelling narratives and executive-level recommendations.
• Build, mentor, and develop a high-performing team of Product Analysts while fostering a culture of analytical rigor and curiosity.
• Champion a data-driven culture by enabling teams to make faster, better product decisions through insights.

Requirements

• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, Operations Research, or another quantitative discipline.
• 7–10 years of experience in Product Analytics, Growth Analytics, Business Analytics, or Decision Science, with experience leading analytics teams.
• Advanced expertise in SQL and strong programming skills in Python (R is a plus).
• Strong foundation in statistics, experimentation, hypothesis testing, causal inference, forecasting, segmentation, and predictive analytics.
• Experience working with large-scale user behavior, clickstream, and event-level datasets.
• Strong knowledge of modern BI and analytics platforms (Tableau, Looker, Power BI, Mixpanel, Amplitude, etc.).
• Experience with cloud data warehouses such as BigQuery, Snowflake, Redshift, or Databricks.
• Proven ability to influence product strategy and business outcomes through data-driven insights.
• Demonstrated experience hiring, mentoring, and developing analytics talent.

Preferred Qualifications

• Experience working in consumer internet, streaming, gaming, marketplace, or subscription businesses.
• Strong understanding of recommendation systems, personalization, user lifecycle analytics, and growth metrics.
• Familiarity with AI/ML-powered products and applying analytics to improve intelligent product experiences.
• Excellent executive communication and stakeholder management skills.
• Ability to thrive in a fast-paced, highly experimental environment with multiple concurrent priorities.
• Passion for building teams and creating scalable analytics processes.