Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow.
That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve.
Flex is expanding to offer a consumer bill management platform: a hub where users manage both recurring and one-off bills, align payments with their cash flow, and build credit along the way. As we move from a pilot to broader GTM, we're looking for someone who can operate as both the builder of our data foundation and the analyst who turns that data into decisions.
This role will work closely with both business leadership and the core data team to focus on modeling data, digging into consumer behavior, pricing and credit dynamics, and setting the standards the rest of the team builds on.
What you'll do- Build and maintain the core data models (dbt/Snowflake) that power reporting, experimentation, and ML/credit risk use cases
- Analyze consumer bill payment behavior timing, splitting, delinquency, credit-building outcomes to identify what's working in the pilot and what needs to change
- Partner closely with Product and Engineering to instrument new features (e.g. bill splitting, smart scheduling, credit-building) so we can measure adoption and impact from day one
- Design and analyze experiments that test pricing, credit terms, and product flows, establishing causal links between changes and outcomes
- Create dashboards and self-serve tools that let Product, Risk, and GTM teams track Control Center's pilot-to-scale metrics without needing to come back to Analytics for every question
- Champion data quality, consistent terminology, and documentation as data footprint grows from pilot to full launch
- Set technical direction for how Control Center's data models and pipelines scale as new billers, partners, and product surfaces come online; mentor other analysts/engineers and raise the technical bar across the team
- 7+ years of experience spanning analytics engineering and data science/analyst work
- Strong SQL and hands-on experience with dbt and Snowflake (or equivalent modern data stack)
- Experience with BI tools (Sigma, Tableau, Mode, Looker, etc.) and building dashboards that non-technical stakeholders use
- Track record designing and analyzing experiments (A/B tests or quasi-experimental methods) to drive product decisions
- Being confident partnering with technical and non technical stakeholders
- Strong ownership mindset
- Comfort with credit, risk, or fintech data, as well as curiosity about how consumers manage their finances, is a plus
Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location.
Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
View our benefits and more at getflex.com/careers.
Skills Required
- 7+ years of experience spanning analytics engineering and data science or analyst work
- Strong SQL skills
- Hands-on experience with dbt and Snowflake, or an equivalent modern data stack
- Experience with BI tools such as Sigma, Tableau, Mode, or Looker
- Experience building dashboards for non-technical stakeholders
- Track record designing and analyzing A/B tests or quasi-experimental methods
- Confidence partnering with technical and non-technical stakeholders
- Strong ownership mindset
- Comfort with credit, risk, or fintech data
- Curiosity about how consumers manage their finances
What the Team is Saying
What We Do
Flex, an NYC-headquartered FinTech company, has created a trusted rent payment experience. It’s hard to believe that it’s 2024 and paying rent on time is expensive, inflexible, and difficult; we’re here to change that! We enable our users to pay rent throughout the month on a schedule that better fits their finances and budget, while also helping them build credit. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense.
Why Work With Us
We believe it takes a diverse team of curious, determined, empathetic, and self aware people to grow a successful company. We value the unique and dynamic perspectives our team brings to solve critical problems that impact the lives of our users and the financial decisions they make.
Gallery
Flex Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Flex believes in both in-person collaboration and remote flexibility, where a portion of our employees are local to our NYC HQ (onsite M/W/TH) and a portion are remote depending on department and role scope.
