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Revenue Management Analyst

Data Analyst Full-time Permanent United States

Job details

$75,000 Salary
United States Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview Analyze business performance and develop financial models, reporting, and visualizations that help improve revenue outcomes. Working with a merchandising and revenue management team, you’ll study customer value, retention, campaigns, and sales results, then turn findings into decision support and process improvements.

Responsibilities - Track customer lifetime value and retention across dealer segments, cohorts, and business units. - Build models to monitor business results, identify performance gaps, and forecast sales outcomes. - Analyze complex business questions and recommend potential solutions based on data. - Plan and evaluate campaigns and promotions to improve share of wallet or active user measures. - Create repeatable reports and visualizations, financial models, decision tools, and ad hoc analyses. - Coordinate analytics projects, work with managers to prioritize needs, and identify opportunities to automate processes and reporting.

Requirements - Bachelor’s degree in mathematics, economics, computer science, information management, statistics, finance, or another quantitative field. - Two to five years of experience in data or statistical analysis, model development, or reporting analysis. - Experience managing small or medium-sized projects and using process automation tools such as Power Automate, UiPath, Zapier, Kissflow, or Appian. - Strong knowledge of data models, simulation methods, and financial modeling. - Experience with reporting or visualization tools such as Tableau, Power BI, Domo, or Looker, and/or databases such as SQL or Snowflake. - Strong analytical, query, and report-writing skills, with care for accuracy and clear communication of findings.

Benefits and work setup The source lists annual pay of $75,000–$85,000, depending on qualifications and experience. Benefits include medical, dental, and vision coverage, retirement contributions, paid leave, disability and life insurance, an employee assistance program, volunteer time, and tuition reimbursement. It also describes opportunities for skill development and internal career growth.

Skills detected in the listing

SQLSnowflakePower BITableauLookerBusiness Intelligence
Detected Oct 21, 2026
Last verified Nov 12, 2026

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