Overview
Support the strategic and day-to-day oversight and analysis of marketing investments through budget planning, monthly forecasting, and performance insights across channels for the buyer marketing team.
What you'll do
- Lead budget planning and forecasting across marketing channels, from spend through gross profit.
- Build and maintain monthly, annual, and intra-month projections, including expected revenue and other key business outcomes.
- Lead weekly performance meetings, presenting business and channel results and highlighting the most important risks, opportunities, and recommended actions.
- Support day-to-day channel performance management. Analyze results, identify performance drivers, and surface risks, opportunities, and changes in expectations.
- Build actionable analyses of performance trends, including channel, category, and country opportunities and sources of growth or decline.
- Partner with the VP of Buyer Growth on sizing scenarios, estimates, financial models, MBRs, and leadership reporting.
- Partner with Analytics, Data Science and Finance to build accurate forecasting and bidding models that enable scenario planning and accurate tracking into the marketing P&L.
- Use AI tools to build and improve reporting, tracking, dashboards, and models, for example dashboards or forecasting models in Claude or Google Sheets.
- Improve marketing reporting models and work with Analytics to define requirements for dashboards and other reporting tools.
- Support testing and experimentation by helping teams plan learning agendas, evaluate results, and incorporate findings into forecasts and performance tracking.
- Develop clear performance read-outs and presentations that help leaders make informed decisions about marketing investment and business goals.
What you'll need
- 3-5 years of relevant experience in strategic analysis, planning, and insights generation.
- Deep understanding of performance marketing dynamics, data analytics, and corporate finance.
- Excellent business acumen, communication skills and storytelling ability that is fact-based, insight-rich, comprehensive, and solution-oriented, tailored to the audience (executive-level, cross-functional, within marketing, etc).
- Strong scenario planning, forecasting, and financial modeling skills, combined with high competence in business intelligence platforms.
- Experience leveraging AI and machine learning tools (LLMs, AI agents, Python scripts) to automate manual reporting workflows and scale insight generation.
- Experience managing marketing budgets in a marketplace or lead generation business model.
Nice to have
- Advanced data skills (e.g. SQL, Python).
- Experience with lifecycle strategies including acquisition, retention, and customer cohort modeling, as well as email marketing reporting.
Details
Read the full description and apply on the company’s own careers page.