We are looking for a Senior Business Analyst (Data analyst) with strong analytical capabilities and hands-on BI expertise. The ideal candidate is comfortable working independently, fluent in SQL, and able to bridge business while driving data-driven decisions.

Key Responsibilities

• Own reporting and analytics for lending products.
  
• Perform deep, business-oriented data analysis to support strategic and operational decision-making.
  
• Design, build, and maintain BI reports and dashboards (Power BI).
  
• Perform reconciliation analysis across systems (loan data, balances, payments, statuses, etc.).
  
• Translate business requirements into analytical queries and data models.
  
• Validate data consistency across multiple sources (e.g., Salesforce, internal systems).
  
• Identify trends, risks, and performance drivers within loan portfolios.
  
• Support product and operations teams with ad-hoc analytical requests.
  
• Ensure data accuracy and reporting reliability.

Required Skills

• 5+ years of experience as a Business Analyst and Data Analyst in financial services and lending.
  
• Strong business-focused data analysis skills with the ability to interpret data in a business context.

• Understanding of the loan lifecycle, underwriting, servicing, and collections processes.
  
• Advanced SQL skills (complex joins, aggregations, window functions, performance optimization).
  
• Strong experience with BI tools (Power BI required).
  
• Experience building end-to-end dashboards and performance reports.
  
• Experience in reconciliation processes involving financial data (loan balances, payments, etc.).
  
• Ability to work independently with minimal supervision.
  
• Strong communication skills.

Nice to Have

• Experience with Snowflake.
  
• Basic understanding of Machine Learning concepts (risk scoring, segmentation, forecasting).

Profile Expectations

• Strong analytical thinking and business acumen.
  
• Detail-oriented with a strong focus on data accuracy.
  
• Comfortable operating in a fast-paced lending environment.
  
• Able to balance strategic analysis with operational reporting.
  
• Proactive in identifying insights and resolving data issues.