Kafene helps retailers offer flexible purchase options through simple, consumer-friendly lease-to-own agreements.
The Role
Kafene is a leading point-of-sale financing partner dedicated to empowering flexible ownership solutions for underserved customers nationwide. By enabling our retail partners to offer flexible lease-to-own (LTO) purchase options for both prime and non-prime consumers, Kafene helps merchants grow their customer base and meet the increasing demand for furniture, appliances, electronics, tires, and other durable goods. Utilizing over 20,000 data inputs alongside cutting-edge AI and machine learning technologies, our platform creates a best-in-class experience for both merchants and customers. With over $350 million in sales since inception, we are rapidly growing and looking to expand our team.
We take pride in fostering a dynamic workplace culture that values collaboration, innovation, and mutual support. Our team of 170 is spread across our NYC headquarters, a Wilmington office, and fully remote staff nationwide. Last year, we were recognized as one of Built In's Startups to Watch and Forbes' Best Startup Employers.
We’re looking for a Senior Data Analyst to join our lean, high-impact Analytics team. Reporting to the SVP of Strategy & Analytics, you’ll serve as a strategic partner across Kafene, using data to shape how we grow, invest, and operate.
In this role, you’ll lead projects end-to-end—from framing ambiguous questions to analyzing large datasets and delivering insights that drive action. Your work will inform Kafene’s most critical decisions on growth, profitability, and efficiency. You’ll collaborate closely with leaders across Revenue, Risk, Product, Finance, and Operations, with your insights influencing decisions at the highest levels of the organization.
We’re seeking someone who pairs strong technical skills with business acumen and a bias toward action. You should be comfortable working independently, confident in navigating complexity, and driven by the opportunity to shape a fast-scaling business through data. If you thrive in high-ownership environments and love turning data into impact, we’d love to chat.
What you’ll do:
- Lead end-to-end analytics projects across key business domains, including growth, profitability, and operational efficiency.
- Translate complex data (e.g., lease portfolio performance) into clear, actionable insights for executive leadership and functional teams.
- Develop and maintain analytical tools, models, and dashboards to provide visibility into critical business levers such as originations growth and customer lifetime value.
- Assess the performance and ROI of key business initiatives, delivering data-driven recommendations.
- Collaborate with cross-functional teams to drive data-driven initiatives, including experiment design and post-analysis.
- Enhance data quality, structure, and collection processes to support scalable analytics and automation.
- Shape the long-term analytics roadmap, contributing to decisions on tooling, processes, and team structure as the function scales.
Qualifications:
- Bachelor’s degree in a quantitative field (e.g., Statistics, Math, Economics, Computer Science); a Master’s degree is a plus.
- 4–8 years of experience in data science, analytics, or other quantitative roles, preferably within financial services, fintech, or a high-growth startup.
- Expertise in SQL and Python, with proven experience in modeling, forecasting, and structured analysis.
- Proficiency in business intelligence tools such as Sigma, Tableau, or Power BI.
- Strong foundation in statistics and experimental design, including A/B testing and causal inference techniques.
- Proven ability to lead and execute cross-functional analytics projects—from scoping and analysis to implementation and stakeholder alignment.
- Comfortable working independently in fast-paced, ambiguous environments, with the ability to structure open-ended problems.
- Effective communicator who can synthesize technical insights for diverse audiences, including senior leadership.
- Strong business judgment, with the ability to weigh impact, effort, and uncertainty when prioritizing work.
- Experience with machine learning or predictive modeling is a plus.
Compensation and Benefits
- Base Salary: Earn a competitive base salary ranging from $145,000 - $175,000.
- Healthcare: We prioritize your well-being by covering 80% of medical, dental, and vision insurance costs. Additionally, we contribute 75% of the premium for your spouse and/or dependents.
- Retirement Benefits: Begin planning for your future from day one with our 401k plan.
- Paid Time Off: We understand the importance of work-life balance. That's why we offer flexible paid time off days starting from day one of your employment.
Kafene is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you are applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.
Similar Jobs
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Kafene is a cutting-edge digital platform used by thousands of merchants at the point of sale to help offer underserved consumers more flexible purchase options through transparent lease-to-own (LTO) agreements that help retailers of furniture, appliances, electronics, tires, and other goods meaningfully broaden their addressable market. Kafene utilizes more than 20,000 data inputs in tandem with best-in-class artificial intelligence and machine learning technologies to underwrite, approve using efficient risk-based pricing, and enable payment in a near-instantaneous manner, while creating a best-in-class customer experience.
Why Work With Us
We create a win-win for consumers and retailers alike by offering debt-free, credit-building financing to an underserved consumer while helping retailers reach new customer segments. Our mission of doing well by doing good underlies everything about the culture we’ve built.
Gallery
