Senior Staff Analytics Engineer

• As a Senior Staff Analytics Engineer, you will enable stakeholders at Flex to easily find the data they need to make decisions
• You’ll do this by leveraging your technical skills to develop better data products and solutions
• You’ll partner with analysts, engineers, PMs and others to define the requirements while being accountable for delivering the end data product
• As part of the broader Data team, you will report to the Director, Analytics Engineering and support a number of different areas across Flex
• 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
• Contribute Flex’s data culture by influencing processes, systems, and tools that enable to make better decisions in a scalable way

Benefits

• Medical, Dental & Vision: Your healthcare will be available from Day 1— giving you immediate peace of mind — with best in class coverage and options.
• Parental Leave: Step away with paid time off to focus on family and life’s newest chapter.
• NYC HQ: Collaborate in our lively New York headquarters, with new office space on the way!
• 401(k) Retirement Savings: Plan ahead with our 401(k) program to grow your future. And starting early 2026, employees will be eligible for a company match!
• Flex Giving: ‍Flex Giving empowers employees to support local nonprofits advancing housing stability in the communities we call home.
• Employee Assistance Fund: ‍Confidential financial support to teammates facing unexpected hardships or emergencies.
• Hybrid Work Policy: Work flexibly from home, with in-person collaboration and events that matter.
• Unlimited PTO + Holidays: Take the time you need— whether that’s a vacation, recharge, or simply a long weekend
• Free Flex Subscription: As a Flex employee, you’ll have full access to our services without charge.
• GrubHub Credit: Enjoy meal credits while in the office, so you’re fueled for the workday ahead.- Expert proficiency with dbt or similar data modeling tool
• Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.)
• Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, and best practices for codebase development and CI/CD)
• Expert knowledge of SQL, data warehouses (we use Snowflake), and how to write efficient SQL queries
• Experience within the fintech space
• 6+ years as an analytics engineer or equivalent, with a track record of shipping high quality products and features at scale