Run the Analytics Engineering team enabling stakeholders to find the data needed to make decisions
Develop a world-class analytics platform that powers all data consumption at Flex
Manage and develop a team of high-performing Analytics Engineers; mentor and lead strategy and roadmap
Hands-on development of data models and data products; build, consume, transform, and expose data to stakeholders and systems
Partner with analysts, engineers, PMs to define requirements and be accountable for delivering the end data product
Collect business requirements, define successful analytics outcomes, and design data solutions
Set company-wide standards for data structure, quality, and expectations; influence processes, systems, and tools to scale decision-making
Requirements
8+ years as an analytics engineer or equivalent, with a track record of shipping high quality products and features at scale
Expert knowledge of SQL, data warehouses (we use Snowflake), and how to write efficient SQL queries
Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.)
Expert proficiency with dbt, dbt Cloud, and Airflow
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, and best practices for codebase development and CI/CD)
Proficiency with Python preferred
Experience within the fintech space preferred
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
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.