[Remote] Senior Analyst, Revenue & Commercial Analytics

Note: The job is a remote job and is open to candidates in USA. MediaRadar is a B2B SaaS advertising-intelligence platform that equips marketing, sales, and analytics leaders with essential insights. The Senior Analyst, Revenue & Commercial Analytics role focuses on building economic models and analytics to support pricing, retention, and growth decisions, working closely with both Revenue Operations and Strategic Finance.

Responsibilities

• Power FP&A's cohort & retention analytics — partner with Strategic Finance to build the segment-level retention curves, survivorship analysis, and chained NRR/GRR
• Partner with FP&A to build LTV/CAC & unit-economics models— turn Strategic Finance's economic framing into working models that quantify customer lifetime value, CAC payback, and go-to-market efficiency
• Run the analysis behind FP&A's pricing work — produce the take-rate, price-realization, and segment-level elasticity and price-cap analysis that feeds FP&A's willingness-to-pay models and pricing recommendations
• Be FP&A's modeling and data partner — take the framing Strategic Finance hands you (price, volume, expansion, retention) and build it into clean, auditable Excel models, with Finance owning the output and the narrative to leadership
• Own the data layer behind every model — source, normalize, and quality-check data across Salesforce and other commercial systems so FP&A's analyses stand up to board- and executive-level scrutiny
• Help operationalize proven work — once an analysis is validated in Excel, help move it into Power BI so it can be refreshed and shared without rebuilding from scratch

Skills

• Exceptional analytical horsepower — you can take a vague, open-ended question, decompose it, and design the analysis that answers it. This is the single most important thing
• Strong commercial and economic intuition — you understand how levers like price increases, upsell, take rates, and retention roll up into ARR and growth
• Advanced Excel and financial-style modeling
• Strong SQL and hands-on data manipulation
• Demonstrated experience with data quality, normalization, and getting messy data into analysis-ready shape
• A fast learner who is comfortable with ambiguity and owns work end-to-end
• Clear written and verbal communication — able to explain methodology and findings simply
• Power BI (or comparable BI tool) development experience, or a track record of upskilling into it quickly
• SaaS / subscription business experience and fluency with ARR, NRR/GRR, churn, and cohort concepts
• Salesforce / CRM data experience
• Exposure to pricing analytics or commercial strategy

Company Overview