Enable stakeholders to easily find the data they need to make decisions by developing data products and solutions
Partner with analysts, engineers, PMs and others to define requirements and be accountable for delivering end data products
Lead the development of data models to consume, transform, and expose data to stakeholders and systems across the company
Collect business requirements, define successful analytics outcomes, and design data solutions
Set company-wide standards for data regarding structure, quality, and expectations
Influence processes, systems, and tools to contribute to Flex's data culture and enable scalable decision-making
Report to the Head of Analytics Engineering and support multiple areas across the company
Requirements
6+ years as an analytics engineer or equivalent, with a track record of shipping high quality products and features at scale
Expert knowledge of SQL and data warehouses (we use Snowflake) and ability to write efficient SQL queries
Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.)
Expert proficiency with dbt and dbt Cloud or similar data modeling tool
Proficiency with Python
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, and best practices for codebase development and CI/CD)
Experience within the fintech space
Benefits
Competitive pay
100% company-paid medical, dental, and vision
401(k) + company equity
Unlimited paid time off + 13 company paid holidays
Parental leave
Flex Cares Program
Free Flex subscription
Relocation assistance for candidates outside NY/NJ
Hybrid work arrangement with on-site expectations (3 days/week) at New York HQ
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.