Database Analyst

About the role

You will sit between the client's databases, software platforms, and acquisitions team, making sure information is accurate, well-structured, and flowing correctly between systems. The client's data lives across deal-management platforms and multiple loan databases; your job is to organize these disparate datasets into clean, reliable, query-ready structures that acquisitions workflows — and potentially new user interfaces — can be built on.

What you'll do

• SQL and data management — write and optimize SQL to extract, transform, and analyse data across multiple databases and datasets
• Data validation — audit datasets for accuracy and completeness; find and fix discrepancies at the source
• Data flows — map how data moves from one system or platform to another and keep it flowing correctly end to end
• SOPs — document how data is entered, moved, checked, and maintained so processes are repeatable and auditable
• Data governance — establish and maintain standards for how data is structured, managed, and controlled

What you need

• 5–8 yrs of experience
• SQL
• Python
• SOP writing
• Salesforce
• Data modelling
• Pandas
• Any graduate

Good to have

• Dashboarding
• ETL
• Data warehousing
• NumPy

What you get

• ₹7 L–₹10 L a year