Data analyst - Finance

Overview

Data Analyst – Fintech Hybrid, Python, SQL, dbt, data engineering

Must have a solid 5 years as a data analyst. 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 datapipelines 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 years in data engineering, analytics engineering, or BI roles (finance 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, cashflow, 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.