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 prime and nonprime consumers, Kafene helps merchants grow their customer base, and meet growing demand for furniture, appliances, electronics, tires and other durable goods. Utilizing more than 20,000 data inputs in tandem with cutting-edge AI and machine learning technologies, our platform creates a best-in-class experience for both merchants and customers. With over $250 million in sales since inception, we are rapidly growing and looking to build out our team.
We take pride in fostering a dynamic workplace culture that values collaboration, innovation, and mutual support. Our team of 100 is spread between a NYC headquarters, a Wilmington office, and fully remote staff across the country. Last year, we were selected for Built In Startups to Watch and Forbes' Best Startup Employers.
Department/Team Overview
The Data Science & Analytics Team is the driving force behind our data-driven culture at Kafene. We partner closely with Kafene’s Risk, Finance, Technology, Sales, and Product teams to:
* Design data products/ML-based tools to understand portfolio profitability and growth.
* Manage Kafene’s experimentation program and run A/B test analytics.
* Optimize Sales efficiency by running acquisition and retention analytics.
* Own the creation and development of key business insight reporting suitesBuild a best-in-class pricing program to maximize competitiveness and profitability.
* Additionally, we foster a culture of learning and growth, where each member has the opportunity to expand their skills and contribute to our collective success.
What you'll do:
- Sales & Marketing Analytics - enrich Kafene’s understanding of existing marketing performance, explore sales funnel opportunities, optimize return customer pathways, and more.
- Performance Analytics - share strategic recommendations to optimize portfolio composition to maximize CoC and minimize unit costs.
- Serve as the main point of contact for our Product and Finance teams as their core analytics partner.
Who you are:
- 3+ years of work experience as a Data Analyst - relevant industry experience is a plus.
- Superior quantitative analysis skills, creativity in problem solving, and a keen business sense.
- Demonstrated ability to work effectively with complex relational databases (Snowflake).
- Excellent interpersonal, written, and oral communication skills.
- Keen attention to detail, obsessively organized with excellent documentation skills.
- Analytical mindset - ability to perform root cause analysis, recognize patterns.
- Familiar with Google Analytics, Python, Tableau/Looker/Sigma, JIRA project management.
- Highly motivated and ambitious.
- Bachelor’s degree in a quantitative field (e.g., Statistics, Math, Finance, Engineering), or equivalent combination of training and practical experience.
Compensation & Benefits:
- Base Salary: Earn a competitive base salary ranging from $140,000 to $170,000.
- 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.
Top Skills
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.
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