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Senior Data Analyst

External
Kafene logoKafene · Panama City
$35K–$65K/yrFull-timeRemote1w ago
CRMHubSpotLookerMachine LearningSQLTableau
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Responsibilities

  • Own performance reporting for our revenue teams by building and maintaining dashboards that surface funnel health, conversion trends, and rep-level performance.
  • Translate business questions into clear analytical frameworks that inform decisions across the revenue org.
  • Maintain and QA reporting logic, ensuring consistency and reliability across data sources.
  • Serve as a source of truth for key definitions, metrics, and methodologies across the revenue org.
  • Support CRM reporting and data integrity workflows.
  • Document definitions, methodology, and logic so teams can self-serve with confidence.
  • Learn existing analytics systems end-to-end and take progressive ownership over time, and identify opportunities to improve current models, reports, and processes.
  • Partner with stakeholders across revenue teams to understand their needs before building.

Requirements

  • 3-5 years of experience in a data or analytics role supporting revenue, sales, or go-to-market teams.
  • Strong SQL and BI tools (Sigma, Tableau, Looker, or equivalent).
  • Ability to navigate ambiguous data environments and exercise sound judgment on definitions and methodology.
  • Clear communicator who can explain data findings to non-technical stakeholders.
  • Curious about how the business works, not just how the data is structured.
  • Builds with the end user in mind, ensuring outputs are actionable and directly useful.
  • Passionate about owning work end-to-end, from problem framing to deployment to monitoring.
  • Holds a high bar for data accuracy and validates findings before drawing conclusions
  • Exposure to fintech, lending, or consumer finance business models.
  • Familiarity with HubSpot or similar CRM platforms.
  • Master's degree in Statistics, Economics, or a related field.
  • Compensation and Benefits:
  • Salary: Earn a competitive salary of $35,000-$65,000
  • Healthcare Stipend: We prioritize your well-being by covering medical, dental, and vision insurance costs.
  • Paid Time Off: We value work-life balance, which is why we offer flexible paid time off starting from your first day of employment.
  • Need accommodation during the application process? We've got you. If you're applying for a U.S. position and require reasonable accommodation at any stage, reach out to careers@kafene.com with details about your request and contact information. We're here to help make the process work for you.
  • Note: This email address is specifically for accommodation requests and will only respond to those inquiries.

Benefits

Health insuranceDental insuranceVision insuranceRemote work optionsFlexible schedule

Additional Information

Get to Know Us Kafene is revolutionizing the lease-to-own space. We're the point-of-sale powerhouse making flexible lease-to-own accessible to everyone-prime and non-prime customers alike. Our secret weapon? Cutting-edge AI and machine learning that analyzes 20,000+ data inputs in real-time, empowering retailers across furniture, appliances, electronics, tires, and durable goods to say "yes" to more customers. The numbers tell our story: over $500 million in sales and counting. But we're just getting started . Our 150-person team spans NYC headquarters, Wilmington, and remote talent across the globe-all united by a culture that thrives on collaboration, innovation, and genuine support. We don't just talk about great workplace culture; we deliver it. That's why Built In named us a Startup to Watch and Forbes recognized us as one of the Best Startup Employers . Ready to be part of the fintech revolution? Join us. We are hiring an experienced Senior Data Analyst to partner with our Revenue organization, with an initial focus on Business Development and Account Management analytics. This role sits at the intersection of data and go-to-market strategy, working closely with revenue teams. We want someone who learns the business deeply, takes ownership of the analytics they build, and proactively identifies where things can be better. Curiosity and empathy are as important here as technical skill.


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