Lead Product Analyst

Pocket FM; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Pocket FM is seeking an experienced Product Analytics professional in Bengaluru to lead analytics for a high-impact product, partnering with Product, Engineering, Growth, and Business teams. You will define metrics, build scalable frameworks, and drive data-informed decisions across the product lifecycle.

You will own end-to-end experimentation, design, analysis, and post-launch impact assessment, while delivering reliable reporting and self-serve analytics to executives.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative discipline
• 5-8 years of experience in Product Analytics, Growth Analytics, Business Analytics, or Decision Science in consumer internet/streaming tech
• Advanced proficiency in SQL and strong programming in Python (R is a plus)
• Strong understanding of statistics, experimentation, causal inference, hypothesis testing, regression, segmentation, forecasting, and predictive analytics
• Hands-on experience with large-scale event data, clickstream analytics, and user behavior datasets
• Experience with BI and visualization tools such as Tableau, Looker, Power BI, or similar
• Strong understanding of data warehousing concepts and modern analytics stacks (BigQuery, Snowflake, Redshift, Databricks)
• Familiarity with product analytics platforms such as Mixpanel, Amplitude, Adobe Analytics, AppsFlyer or similar tools
• Demonstrated ability to influence product strategy through analytical insights and cross-functional collaboration
• Experience mentoring analysts or leading analytical initiatives is highly preferred

Responsibilities

• Lead the analytics charter for a high-impact product or business pod, acting as the strategic data partner for Product, Engineering, Growth, and Business teams
• Define product and business metrics, build scalable analytical frameworks, and influence roadmap prioritization through data-driven insights
• Own end-to-end experimentation, including hypothesis generation, experiment design, statistical analysis, and post-launch impact measurement
• Build reliable reporting systems, executive dashboards, and self-serve analytics that improve organizational visibility into key business metrics
• Partner with Data Engineering to improve data quality, instrumentation, event taxonomy, and real-time data pipelines
• Analyze user behavior across the customer lifecycle—including acquisition, activation, engagement, monetization, retention, and churn—to identify growth opportunities
• Develop predictive models, segmentation strategies, and causal analyses to improve decision-making
• Drive a culture of experimentation by establishing best practices for A/B testing, metric governance, and analytical rigor
• Present complex analyses and strategic recommendations to senior leadership in a simple and actionable manner
• Mentor analysts, establish analytical best practices, and contribute to building a high-performing analytics organization

Skills

SQL

Python

Statistics

Experimentation

A/B testing

Data visualization

Data warehousing

Education

Bachelor's or Master's in Engineering/CS/Math/Statistics

Tools

Tableau

Looker

Power BI

BigQuery

Snowflake

Redshift

Databricks

Mixpanel

Amplitude

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 creative tooling for images and video. As an AI-first company, we're building proprietary generative AI systems that power every stage of our content lifecycle, including creation, discovery, marketing, distribution, and monetization.

What We've Built

• 10% of US revenue and listening hours now come from AI-generated audio series


• Scaled multilingual content localization across major European markets using in-house GenAI systems


• Expanded into comics, short-form video, and web novels through AI-powered storytelling platforms


• Rapidly experiment, evaluate, and deploy LLM-based and multimodal AI systems at production scale

Responsibilities

• Lead the analytics charter for a high-impact product or business pod, acting as the strategic data partner for Product, Engineering, Growth, and Business teams


• Define product and business metrics, build scalable analytical frameworks, and influence roadmap prioritization through data-driven insights


• Own end-to-end experimentation, including hypothesis generation, experiment design, statistical analysis, and post-launch impact measurement


• Build reliable reporting systems, executive dashboards, and self-serve analytics that improve organizational visibility into key business metrics


• Partner with Data Engineering to improve data quality, instrumentation, event taxonomy, and real-time data pipelines


• Analyze user behavior across the customer lifecycle—including acquisition, activation, engagement, monetization, retention, and churn—to identify growth opportunities


• Develop predictive models, segmentation strategies, and causal analyses to improve decision-making


• Drive a culture of experimentation by establishing best practices for A/B testing, metric governance, and analytical rigor


• Present complex analyses and strategic recommendations to senior leadership in a simple and actionable manner


• Mentor analysts, establish analytical best practices, and contribute to building a high-performing analytics organization

Requirements

• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative discipline


• 5-8 years of experience in Product Analytics, Growth Analytics, Business Analytics, or Decision Science, preferably within consumer internet, streaming, gaming, or technology companies


• Advanced proficiency in SQL and strong programming skills in Python (R is a plus)


• Strong understanding of statistics, experimentation, causal inference, hypothesis testing, regression, segmentation, forecasting, and predictive analytics


• Hands-on experience working with large-scale event data, clickstream analytics, and user behavior datasets


• Experience with BI and visualization tools such as Tableau, Looker, Power BI, or similar platforms


• Strong understanding of data warehousing concepts and modern analytics stacks (BigQuery, Snowflake, Redshift, Databricks, etc.)


• Familiarity with product analytics platforms such as Mixpanel, Amplitude, Adobe Analytics, AppsFlyer, or similar tools


• Demonstrated ability to influence product strategy through analytical insights and cross-functional collaboration


• Experience mentoring analysts or leading analytical initiatives is highly preferred

Preferred Qualifications

• Excellent communication and storytelling skills with the ability to translate complex analyses into business recommendations


• Strong product intuition and customer-centric thinking


• Ability to thrive in a fast-paced, highly experimental environment with multiple parallel initiatives


• Comfortable working with ambiguity and independently driving high-impact analytical projects


• Experience in subscription businesses, consumer apps, recommendation systems, personalization, or content platforms is a strong plus


• Exposure to AI/ML-powered products, experimentation platforms, or recommendation systems is an added advantage