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.
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