Description
The Senior Marketing Financial Analyst serves as a strategic finance partner to the Marketing organization, responsible for measuring and improving the return on marketing investment across channels. This role combines strong financial and business acumen with hands-on statistical modeling skills, including regression analysis and Media Mix Modeling (MMM), to evaluate the impact of marketing spend on business outcomes, guide budget allocation, and support forecasting and planning.
The ideal candidate combines financial rigor with a strong understanding of marketing strategy, data analysis, and customer acquisition.
Key Responsibilities
Partner with Marketing leadership to develop, manage, and analyze marketing budgets, spend pacing, and ROI across paid, owned, and earned channels.
Maintain and interpret Media Mix Models (MMM), including data inputs, assumptions, outputs, and vendor-developed models.
Build and apply statistical and econometric models, including multivariate regression, attribution, elasticity modeling, and other analytical approaches.
Translate complex analytical findings into actionable recommendations regarding channel mix, budget allocation, and marketing spend optimization.
Monitor and report on key marketing KPIs, including CAC, CPL, CPA, ROAS, ROI, LTV:CAC, conversion rates, and marketing-sourced revenue.
Develop and maintain customer acquisition and marketing efficiency models to evaluate spend against business outcomes.
Develop financial forecasts, monthly and quarterly variance analyses, and business cases for new marketing investments and campaigns.
Collaborate with Marketing, Finance, Analytics, and Data Science teams to align on data sources, modeling assumptions, and measurement methodologies.
Build and automate dashboards and reporting tools using platforms such as Excel, SQL, Tableau, and Power BI.
Conduct ad-hoc statistical analyses, including scenario planning, sensitivity analysis, test-and-learn evaluations, and incrementality testing.
Present findings and recommendations to senior leadership, translating complex analysis into clear business insights.
Support annual and long-range planning processes, including marketing spend forecasting and ROI-based prioritization of investments.
Requirements
Bachelor's degree in Finance, Economics, Statistics, Marketing Analytics, Data Science, or a related quantitative field.
5+ years of experience in marketing finance, marketing analytics, FP& A, or a related analytical role with a strong marketing focus.
Hands-on experience managing, interpreting, or supporting Media Mix Models (MMM), including vendor-built models.
Experience with MMM tools or frameworks such as Robyn, LightweightMMM, or comparable Bayesian- or regression-based approaches.
Strong knowledge of regression analysis and statistical/econometric techniques, including multivariate regression, time-series analysis, elasticity modeling, and statistical simulation.
Strong understanding of marketing KPIs and their relationship to financial outcomes, including CAC, ROAS, LTV, CPL, CPA, and ROI.
Advanced Excel and financial modeling skills.
Proficiency in SQL and a statistical or analytics programming language such as Python or R.
Experience with business intelligence and visualization tools such as Tableau or Power BI.
Strong analytical, communication, and business partnering skills.
Ability to translate complex analytical findings into clear recommendations for non-technical stakeholders.
Strong understanding of marketing strategy, customer acquisition, channel performance, and marketing investment.
Preferred Qualifications
MBA or advanced degree in a quantitative or business-related field.
Experience in a consumer-facing, retail, healthcare services, or multi-location org
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