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Salary: USD 200,000 - 240,000 / annual
Flex is a growth-stage fintech company building the payment layer for essential bills, enabling households to see, split, and pay bills flexibly while building credit history. The company is headquartered in New York City.
As a Senior Staff Analytics Engineer, you will be a technical leader within the Data team, reporting to the Director of Analytics Engineering. Your primary mission is to enable stakeholders across Flex—analysts, engineers, product managers, and business leaders—to access and leverage data for decision-making by developing robust data products and solutions.
Key responsibilities include:
- Leading the development of data models that consume, transform, and expose data to stakeholders and systems company-wide
- Collecting business requirements, defining successful analytics outcomes, and designing scalable data solutions
- Setting and maintaining company-wide standards for data structure, quality, and expectations
- Contributing to Flex's data culture by influencing processes, systems, and tools that enable better decision-making at scale
- Partnering cross-functionally with analysts, engineers, PMs, and other stakeholders to define requirements and deliver end-to-end data products
This is a hybrid role with expectations of 3 days per week on-site at the New York headquarters. Relocation assistance is available for candidates outside the NY/NJ area.
Requirements:
- 6+ years of experience as an analytics engineer or equivalent, with a proven track record of shipping high-quality products and features at scale
- Expert knowledge of SQL and data warehouses (Snowflake preferred), including ability to write efficient queries
- Familiarity with common BI tools (Sigma Computing, Tableau, Mode, or similar)
- Expert proficiency with dbt or similar data modeling tools
- Strong understanding of analytics engineering development best practices: data modeling, version control, documentation, testing, and CI/CD
- Experience working in the fintech space
