Extend

Data Scientist, Revenue Analytics

Extend

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $111,000 - $129,000 per year

Tech Stack

About the role

  • Cross-functional Champion: Act as internal consultant who can quickly translate ambiguous questions from cross-functional teams into revenue driving initiatives and recommendations.
  • Revenue Optimization: Own strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall.
  • Data-driven Insights: Utilize advanced quantitative analysis techniques (simulation models, A/B testing etc.) to influence audiences on strategic direction, with opportunities to present these insights to leadership and cross-functional partners on a regular basis.
  • Data Infrastructure: Enhance and refine existing quantitative tools to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities.

Requirements

  • Analytical problem-solver with 2+ years experience breaking down business problems into data driven impact.
  • Standout written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds.
  • Strong knowledge of SQL, Python, A/B testing, and Github.
  • Previous experience in consulting a plus.
  • Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically.
  • Empathetic, humble, and collaborative team player.
  • Advanced degree in data science, analytics, economics, statistics or similar quantitative field.
  • Candidates must be located within the continental United States.
Benefits
  • Competitive salary based on experience, with full medical and dental & vision benefits.
  • Stock in an early-stage startup growing quickly.
  • Generous, flexible paid time off policy.
  • 401(k) with Financial Guidance from Morgan Stanley.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonA/B testingdata analysisquantitative analysissimulation modelsdata structuresdata analyticstracking methodologies
Soft Skills
analytical problem-solverwritten communicationverbal communicationdata insights presentationintellectual curiosityempathyhumilitycollaborationteam player
Certifications
advanced degree in data scienceadvanced degree in analyticsadvanced degree in economicsadvanced degree in statistics