Revenue Analytics Manager

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/ $130000 - $160000 annum

INFO

Salary
SALARY:

$130000 - $160000

Location

LOCATION

Job Type
JOB TYPE

Permanent

Revenue Analytics Manager

Fully Remote in the United States -- Must be located in the U.S.

Cannot hire from these states: Illinois, Massachusetts, Ohio, Washington, Washington DC, West Virginia, Colorado

$130,000 - $160,000 base + Bonus + generous benefits

About the Company:

This company helps consumers regain control of their finances through data-driven insights and empathetic customer experiences. With over a decade of sustained growth and no outside funding, the company continues to scale rapidly-leveraging analytics to drive smarter revenue decisions and operational excellence.

About the Role:

This is a hands-on, high-impact analytics role sitting at the intersection of revenue operations, finance, and marketing. You'll own analytics that directly influence conversion, retention, and ROI - everything that turns leads into dollars. From A/B testing and forecasting to uncovering how each stage of the customer journey impacts revenue, you'll play a critical role in shaping how this company grows.

What You'll Do:

  • Build, automate, and maintain SQL-based data pipelines and dashboards supporting revenue forecasting, lead optimization, and conversion tracking.
  • Conduct A/B testing and experimentation to improve ROI and identify revenue lift opportunities across channels.
  • Analyze key revenue metrics (ARPU, churn, LTV, unit economics) and translate findings into actionable insights for Sales, Finance, and Marketing leaders.
  • Develop BI visualizations (Tableau, Sigma, or Power BI) that highlight performance across campaigns and customer segments.
  • Partner with Revenue Operations and Finance teams to refine forecasting models and drive revenue optimization initiatives.

Key Skill Requirements:

  • 6+ years of experience in analytics, revenue management, pricing, or forecasting.
  • Expert-level SQL skills and strong experience with BI tools (any modern platform).
  • Proven success supporting revenue-facing teams (Sales, Marketing, Finance) with actionable, data-driven recommendations.
  • Hands-on experience with experimentation, conversion analysis, or optimization modeling.
  • A self-starter comfortable working in a fast-paced, evolving environment.

Bonus Points For:

  • Experience in financial services, fintech, subscription-based, or consumer services companies.
  • Familiarity with Python for advanced analytics.

This is an exciting opportunity for an analytics professional who thrives in building clarity from complexity and wants to see their work directly influence top-line growth.

CONTACT

Emma Spagnola
She/Her

Recruitment Consultant

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