Job Description

We Are the Perfect Match If You: Have at least 1 year of experience in product data management , and hold an engineering degree . Have strong business acumen and product thinking, with the ability to translate data into actionable insights to drive business growth. Possess expertise in SQL , Advanced Excel , Google Sheets , and other database tools. Have experience working with large datasets and applying data engineering best practices . Are skilled in creating, managing, and optimizing data pipelines and data warehouses . Demonstrate the ability to convert raw data into actionable reports with real-time data fetching. Can build business use cases through thorough data analysis. Bring a strong background in data science , machine learning , and statistics , and can turn data into actionable strategies. Are detail-oriented, striving for perfection without compromising momentum. Thrive in collaboration and have the ability to communicate complex ideas across diverse teams to drive results. What Your Day Would Look: Drive the conversion of raw data into insights , enabling value based revenue streams for IDfy Build data-based hypothesis for insights specific to our risk product suite and run experiments based on the hypothesis Build products based on above insights, build Go-To-Market strategies for the product, hold client discussions for the same and drive adoption. Help PMs and SPMs prioritize product requirements for technical delivery Interact closely with technical teams to build products grounds-up, write test cases and take products live Implement best practices in data handling , ensuring accuracy, consistency, and availability of insights. Experience Range: 0 - 1 years Educational Qualifications: B.Tech/B.E Skills Required: Product Management