Job description
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
Analytics Engineering at Flex sits at the intersection of Data, Product, Engineering, and business objectives. As Director, Analytics Engineering you will run the team that enables stakeholders at Flex to easily find the data they need to make decisions. You’ll be responsible for developing a world-class analytics platform that powers all data consumption at Flex, as well as managing and developing a team of high-performing Analytics Engineers. You’ll also be hands-on, leveraging your technical skills to develop data models and build 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.
You Will:
- Develop and lead strategy for data modeling platform and team roadmap
- Manage and mentor a team of Analytics Engineers
- Collaborate with leaders across product & engineering teams to define data requirements and inform architecture/schema design decisions
- 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:
- 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
For working locations in NY/NJ/CA, the base salary pay range will be $ 259,000-274,000
For all other states, the base salary pay range will be $232,000-247,000
This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters
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. For full time, U.S. based employees we offer:
- 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: Non-profit company match + pet adoption coverage
- Free Flex subscription
For full time non-US employees, we offer
- Competitive Pay
- Company Equity
- Unlimited PTO
