Data Analyst – Fintech | Hybrid, Python, SQL, dbt, data engineering Must have a solid 5 years as a data analyst I am looking for a passionate data analyst who can bridge the gap between finance and technology to deliver data-driven insights. It is a very dynamic team where you will have an impact from day 1 (be prepared!) in helping build automated, reliable financial data solutions that power strategic decisions. What You’ll Do

Develop and maintain finance-focused data pipelines and integrate financial systems with company data sources. Build finance-specific data models for revenue, margin, and cost analysis. Partner with FP&A and product data teams to ensure accurate and consistent reporting. Automate workflows and support finance system integrations. Design dashboards and analyses to enable key financial and business decisions. Maintain governance, documentation, and quality standards for financial datasets.

What We’re Looking For

5–8 years in data engineering, analytics engineering, or BI roles (fintech or SaaS preferred). Strong SQL and Python skills; experience with ETL/ELT tools are essential for this role (dbt). Familiarity with data warehousing and BI tools. Ability to translate finance requirements into technical solutions. Strong understanding of financial concepts (P&L, cash flow, reconciliations, loan portfolios). Degree in computer science, data engineering, or related technical field. Experience integrating finance/business systems (ERP, billing, payments) is a plus.

3 stage interview process that will move quickly Apply now and help them shape the future of data-driven decision-making. #J-18808-Ljbffr