Product Insights Strategist

4 weeks ago


Mumbai, Maharashtra, India JioSaavn Full time

JioSaavn is a leading audio streaming service that empowers users to access and discover their favourite songs and podcasts across languages and genres.

We are committed to delivering the best possible music experience to millions of listeners worldwide by leveraging digital technology, data analysis, and business acumen.

Our mobile products have been featured in prominent publications such as The New York Times, The Wall Street Journal, The Economic Times, and Forbes.

We foster a dynamic and unconventional work environment that encourages creativity and innovation.

At JioSaavn, we believe in empowering every individual to be a catalyst for change in the dynamic digital world.

No idea is left unconsidered, and no voice is left unheard.

We pride ourselves on being an equal opportunity employer and encourage diverse perspectives.

About the Role

This role involves defining metrics, driving roadmaps, and uncovering opportunities to improve the JioSaavn product and its features.

Gathering and prioritising product and business requirements, defining the product vision, and working closely with cross-functional teams.

The ideal candidate will possess strong analytical skills, proficiency in scripting languages like Python/R, and familiarity with big data technologies like Hadoop and Spark.

A bachelor's or master's degree in Engineering or a related discipline is required, along with 3-4 years of experience in a high-growth analytics team.

This position offers a salary range of $120,000 - $180,000 per annum, commensurate with experience.

Key Responsibilities
  • Defining key performance indicators (KPIs), driving product roadmaps, and identifying opportunities for improvement.
  • Gathering and prioritizing product and business requirements, defining the product vision, and collaborating with cross-functional teams.
  • Authoring user stories, refining requirements, and designing solutions to deliver business goals.
  • Utilizing statistical methods to generate and test hypotheses for A/B tests, performing analytical deep-dives to identify problems, opportunities, and actions required.
  • Providing assistance to the Product Team with data analysis and guiding product decisions based on insights from data validation & A/B Test results.


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