About the role
Responsibilities:
- Own, build, and maintain portfolio dashboards, MIS, and data products using SQL and BI tools such as Tableau or Power BI.
- Write clean, performant SQL to extract, transform, and analyze large portfolio datasets.
- Ensure that the data is structured in the data lake and reporting layer so dashboards remain reliable, scalable, and easy to maintain.
- Work with Finance, Operations, Treasury, Risk, Compliance, and Product teams to understand their requirements and provide the right data and dashboard solutions.
- Identify and help resolve data-quality issues in collaboration with data/technology teams.
- Define key metrics for dashboards, which should be tracked by business teams
- Prioritize which dashboards should be built or improved next, based on business impact.
- Apply a truth-seeking approach to analyze data trends, identify deviations, and understand the underlying drivers of changes.
Requirements:
- You are strong technically in SQL and BI and also understand the business behind the numbers.
- You take ownership of the dashboards and data you build and ensure that the underlying data is right.
- You have worked with multiple business teams to understand their data requirements and provided scalable solutions.
- You can investigate why numbers do not tie out and follow the issue to its source.
Must-Haves:
- 3-7 years of hands-on experience in BI, data products, dashboard building, and data analysis, with the ability to build dashboards end-to-end.
- Prior experience in BFSI, fintech, NBFC, banks, or any lending financial services.
- Advanced SQL and strong understanding of databases, data transformation, and data quality.
- Strong business understanding of lending terminologies and portfolio metrics such as approval rates, delinquency, vintage, and portfolio quality.
- Ability to think about how data should be structured in a data lake and reporting layer to support good BI.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
Should-Haves (Good-to-Have):
- Credit bureau data/reporting experience, including preparation, validation, reconciliation, and submission.
- Python or another programming language for automation, data-quality checks, and workflow improvement.
- Experience delivering reporting or BI projects in a high-growth fintech, NBFC, or technology organization.
- Experience leveraging AI to develop and enhance data solutions.