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
