← Serch more jobs

Senior Revenue & KPI Analyst

LinkedIn HaloMD Addison, TX
Not Applicable Posted April 2, 2026 Job link
Thinking about this job
Not Met Priorities
What still needs stronger evidence
Requirements
  • By using this site you agree to our use of cookies.
  • Exceptional analytical rigor and structured problem-solving
  • Ability to synthesize large data sets into actionable business insights
  • Strong executive communication skills with the ability to present complex analyses clearly
  • High attention to detail and commitment to data accuracy and governance
  • Advanced Excel modeling (Power Query, Power Pivot, DAX, VBA/macros)
  • Strong SQL proficiency (complex joins, aggregations, data cleaning)
  • Experience with BI tools such as Power BI, Tableau, Looker, or similar
  • Experience with ERP, planning systems, and financial data environments
  • Knowledge of statistical analysis, regression modeling, or forecasting techniques preferred
  • 3+ years of progressive experience in revenue analytics, BI, FP&A, pricing analytics, or data-driven finance roles
  • Experience working with large datasets and building scalable reporting solutions
  • Experience supporting executive leadership with data-driven insights
Preferred Skills
  • Experience with BI tools such as Power BI, Tableau, Looker, or similar
  • Experience with ERP, planning systems, and financial data environments
  • Knowledge of statistical analysis, regression modeling, or forecasting techniques preferred
  • Experience with Python or R for financial or statistical analysis is a plus
  • Advanced degree (MBA, MS in Analytics, Statistics, or similar) is preferred
  • Experience in a fast-paced, high-growth environment
  • Familiarity with capital markets and experience in managing debt financings
  • Experience in financial evaluation of mergers and acquisitions
  • Multiple medical plan options
Education
  • (Not required) – Knowledge of statistical analysis, regression modeling, or forecasting techniques preferred
  • (Not required) – Experience with Python or R for financial or statistical analysis is a plus
  • (Not required) – Bachelor's Degree in Finance, Economics, Data Analytics, Statistics, Mathematics, Engineering, or related quantitative field
  • (Not required) – Advanced degree (MBA, MS in Analytics, Statistics, or similar) is preferred