Senior Staff Analytics Engineer

Flex; New York (NY); Hybrid; USD 140,000 - 230,000; Full time

Benefits offered by this job

Medical, Dental & Vision: Day 1 health

Parental Leave

Hybrid Work Policy

401(k) with company match

Flex Giving

Employee Assistance Fund

Unlimited PTO + Holidays

Free Flex Subscription

GrubHub Credit

Job summary

Flex is seeking a Senior Staff Analytics Engineer to empower stakeholders by delivering robust data products. You will lead data modeling efforts, expose data to a broad set of users, and collaborate with analysts, engineers, PMs, and other teams.

You’ll help define requirements and be accountable for end-to-end data solutions. You will shape data standards, drive best practices in code, documentation, and testing, and contribute to Flex’s data culture.

Qualifications

• Expert proficiency with dbt or similar data modeling tool.
• Familiarity with BI tools (Sigma, Tableau, Mode).
• Strong analytics engineering development cycle experience: data modeling, version control, documentation + testing, and CI/CD.
• Expert knowledge of SQL and Snowflake data warehouses; ability to write efficient SQL.
• Experience within the fintech space.
• 6+ years as an analytics engineer or equivalent, shipping high quality products at scale.

Responsibilities

• Enable stakeholders to easily find the data they need to make decisions.
• Lead development of data models to consume, transform, and expose data to stakeholders and systems across Flex.
• Partner with analysts, engineers, PMs and others to define requirements and deliver end data products.
• Set company-wide standards for data regarding structure, quality, and expectations.
• Contribute Flex’s data culture by influencing processes, systems, and tools for scalable decision making.

Skills

SQL

Data modeling

CI/CD

Documentation

Testing

Tools

dbt

Snowflake

Sigma Computing

Tableau

Mode

Job description

• 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.

Requirements

• 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