Senior Product Analyst

1 week ago

Mumbai, Maharashtra, India JioSaavn Full time
Senior Product Analyst

We are seeking a highly skilled Senior Product Analyst to join our team at JioSaavn . As a key member of our product organization, you will play a critical role in defining and driving the product vision, strategy, and roadmap.

Responsibilities:
  • Define metrics, drive roadmaps, and uncover opportunities to improve the JioSaavn product and its features.
  • Responsible for gathering and prioritising product and business requirements, defining the product vision, and working closely with Product managers, data engineers and business teams for delivering product strategies and goals.
  • Author user stories, work with aligned feature teams; Pods to refine requirements, define success criteria, design solutions, and drive change required to deliver on business goals.
  • Use statistical methods to generate and test hypotheses for AB tests. This includes performing analytical deep-dives to identify problems, opportunities and actions required.
  • Identify areas for efficiency across data domains, such as the elimination of duplicate data or buggy data from different platforms.
  • Providing assistance to the Product Team with data analysis and guiding the product decisions based on insights from data validation & A/B Test results.
  • Will be responsible to take ownership of the product on both strategic and tactical fronts.
  • Documenting and speaking clearly, the complex ideas & findings.
Qualifications:
  • 3-4 years of experience of working in a high growth analytics team for a consumer-facing product.
  • Adept in writing optimised SQL/Hive Query & knowledge about Big Data infrastructure will be an advantage in working with the data engineering team.
  • Familiarity with big data technologies like Hadoop and spark is a PLUS.
  • Strong hold in scripting languages like Python/R.
  • Proficiency in web/product analytics tools like Google analytics, Amplitude, web analytics etc.
  • Sound understanding of statistical/predictive modelling and segmentation techniques.
  • The candidate must exhibit a thorough understanding of data structures, data manipulation, metadata, data security, and data quality management.
  • Be great in translating data to insights, and publishing reports with relevant visualisations.
  • Strong communication/interpersonal skills along with an eye for detail.
  • Execute projects in Agile methodology and should be hands-on with scrum development process.

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