Senior Business Analyst

NerdySoft is a fintech-focused software development company delivering products used by millions of users globally. We build innovative financial products for our clients, not just software, and continue to grow and evolve alongside the fintech industry.

To support this growth, we are looking for a Senior Business 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.

Required Skills

• 5+ years of experience as a Business Analyst or Data Analyst in financial services or lending.
• Strong business-focused data analysis skills with the ability to interpret data in a business context.
• 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).
• Understanding of the loan lifecycle, underwriting, servicing, and collections processes.

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.

   

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.

If this is all about you, we look forward to receiving your CV and talking to you in more detail!