Senior Product Analyst (Data Scientist)

Job Description

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