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
Key qualifications- 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
CompensationFlex 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.
Tier 1 (NYC/Bay Area)
$184,000-$225,000 USD
Life at FlexWe 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.
OfficesRoles 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.
BenefitsFor full-time U.S. employees we offer:
- Competitive medical, dental, and vision
- Company equity
- 401(k) plan with company match
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Free Flex subscription
For full-time non-U.S. employees, we offer:
- Competitive compensation + company equity
- Unlimited PTO
