Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2025 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?
The Role
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 Senior Director of Analytics Engineering and support a number of different areas across Flex.
You Will:
- 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
You Have:
- 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, 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 and dbt Cloud or similar data modeling tool
- 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
For working locations in NY/NJ/CA, the base salary pay range will be $210,000-237,000
This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters or 1x days per week in our Bay Area Office. For candidates outside of the NY/NJ or the Bay area, you may be eligible for our relocation assistance program.
Life at Flex:
We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.
We offer many employee benefits & perks. For full-time U.S based positions we offer:
- Competitive medical, dental, and vision available from Day 1
- Company equity
- 401(k) plan with company match (our company match kicks off at the beginning of 2026)
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Flex Cares Program
- Free Flex subscription
For full time non-US employees, we offer
- Competitive compensation + company equity
- Unlimited PTO
Top Skills
Flex New York, New York, USA Office
NYC employees are invited to visit the WeWork located in the heart of Manhattan, near Union Square, however, more than 2/3rds of our employee base is fully remote. Flex is dedicated to building an equitable, remote-first culture!
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
