1 JioSaavn Job

JOB TITLE: SENIOR PRODUCT ANALYST (DATA SCIENTIST)

LOCATION: NAVI MUMBAI, INDIA

JOB RESPONSIBILITIES :

• Defining metrics, drive roadmaps, and uncover opportunities to improve the JioSaavn
  product and its features and ensure accuracy of data capture strategy across all platforms.
• 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. Is
  proficient at collecting, processing, and cleaning data from disparate sources using SQL, R,
  Python, or other scripting and statistical tools.
• 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.
• Willing to take ownership of the product on both strategic and tactical fronts.
• Documenting and speaking clearly, the complex ideas & findings.

QUALIFICATIONS:

• 3-6 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