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Revenue Analyst - Lifecycle

Data Analyst focused on retention and revenue analytics, building BI reporting systems, running A/B tests, and delivering insights to guide Revenue Operations strategy. Requires 2+ years analytics experience, advanced SQL, and data visualization skills.

85k – 120kAtlanta, GAData AnalyticsRemote2+ YOE

About the role

What you’ll do:

  • Own the topic of retention and revenue analytics through optimizing + tracking segmented reinvestment spend, creating key reports for leadership, and delivering actionable insights
  • Inform impact and drive high-level insights via a combination of always-on and periodic high A/B testing
  • Develop data collection, data analysis, and business intelligence reporting systems to measure and inform business strategy for the Revenue Operations team
  • Monitor metrics and perform detailed analysis, and keep key stakeholders informed on trends and areas of opportunity
  • Understand how user trends impact high-level business KPIs to guide decision-making
  • Create presentations and written documents with little guidance, and present to both technical and non-technical audiences in an effective way, articulating ideas and opinions clearly and efficiently
  • Collaborate with decision-makers on the Revenue Operations team to understand their goals, and proactively identify opportunities to use data to develop new insights, guide strategy, and improve business results

What you have:

  • 2+ years of Data Analytics experience in an ecommerce, direct-to-consumer or retail environment (marketing domain experience preferred)
  • Advanced knowledge of SQL, including comfort with analytic functions, window functions, and common table expressions
  • 2+ years’ experience using data visualization tools (Tableau preferred) & scripting languages (Python)
  • Experience designing, analyzing, and interpreting A/B tests (including hypothesis development, test design, and measuring impact on key metrics such as retention, conversion, and revenue)
  • Advanced ability to draw insights from analysis, supported by data, and clearly communicate them to stakeholders, including senior management
  • Intellectual curiosity, and solid understanding in data sources and ecosystems, with the ability to see from the brand’s business lens
  • Strong communication skills, both written and oral

Compensation & Benefits:

  • Typical salary range: $85,000 to $120,000
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

Skills

SQLTableauPythonA/B TestingData VisualizationData AnalyticsBusiness IntelligenceRetention AnalyticsRevenue AnalyticsData Analysis

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