Senior Data Analyst

Summary

Join Kafene's Analytics team as a Senior Data Analyst and lead end-to-end analytics projects, translating complex data into actionable insights for executive leadership. You will develop and maintain analytical tools, assess business initiative performance, collaborate with cross-functional teams, and enhance data quality. This role requires strong technical skills, business acumen, and the ability to work independently in a fast-paced environment. You will influence critical decisions on growth, profitability, and efficiency, shaping Kafene's strategic direction through data-driven recommendations. Kafene offers a competitive salary, comprehensive healthcare, retirement benefits, and flexible paid time off. The company fosters a dynamic and supportive workplace culture.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

Experience with machine learning or predictive modeling is a plus

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