FP&A Consolidations Lead — Revenue & Automation

Yahoo; Uz; Hybrid; EUR 81,000 - 169,000; Full time

Job summary

Yahoo is seeking an experienced FP&A professional to own consolidated revenue reporting and the driver layer that fuels forecasting across our portfolio. You will validate inputs from multiple business units, turn marketing spend into measurable returns, and partner with Marketing, Data, and Accounting to automate reporting.

You will apply AI-enabled analytics to accelerate variance analysis, maintain a robust P&L view, and build trusted dashboards in Tableau, Looker, or Power BI.

Qualifications

• Bachelor’s degree in Finance, Accounting, Economics, Business, or a related field.
• 5+ years of experience in FP&A, revenue analytics, marketing finance, or business operations, ideally including digital media, advertising, or subscription business experience.
• Proven experience with driver-based forecasting — able to build a revenue estimate from operational inputs and defend it.
• Strong grasp of marketing measurement: ROI, payback, attribution limitations, and channel and campaign economics.
• Working knowledge of the P&L across revenue, marketing spend, and accruals, and how each ties back to reported actuals, supported by strong quantitative skills and attention to detail.
• Hands‑on experience leveraging modern AI-assisted analytical tools (e.g., enterprise generative AI, forecast automation, agentic data workflows) to compress reporting cycles and deepen analysis; Claude experience preferred.
• Advanced Excel and Google Sheets experience, including large-model hygiene and version discipline, and the ability to create visuals that tell a cohesive story.
• Hands‑on experience with an enterprise planning system such as Oracle EPM, Anaplan, or Hyperion, and with building and maintaining dashboards in Tableau, Looker, or Power BI
• Demonstrated AI-forward mindset, including openness to experimenting with emergent financial automation tools and adapting to evolving, AI-augmented operating environments
• Strong interpersonal skills, with the ability to communicate complex financial concepts to non-financial stakeholders and to operate effectively in a fast‑paced, lean organization

Responsibilities

• Own the intake and validation of revenue submissions from across the business, including tie‑outs, completeness checks, and sanity flags
• Deliver weekly consolidated reporting and forecasting, including revenue variance analysis and driver commentary across the portfolio
• Utilize enterprise generative AI tools (such as Claude or Gemini) to accelerate variance analysis and draft narrative commentary across portfolio divisions
• Build and maintain operational reporting across the full revenue funnel, spanning advertising and subscription revenue, including cross‑portfolio benchmarking on funnel and P&L performance
• Own marketing performance reporting and dashboards — spend, campaign and channel performance, ROI and payback — and the framework used to evaluate new marketing initiatives
• Run marketing budgeting and forecasting end to end: submissions, review cycles, allocation and tracking, and accrual and expense phasing inputs to Accounting
• Own the data layer behind all of it — revenue and marketing pipelines, source-to-P&L mapping and normalization rules, automated validation checks, and the metric and definition dictionary
• Drive automation and standardization of the consolidation and driver models, replacing manual assembly with documented, repeatable processes

Skills

Forecasting

Revenue analytics

Excel/Sheets

AI tools

Tableau/Power BI

Cross-functional

Communication

Education

Bachelor’s degree in Finance/Accounting

Tools

Oracle EPM

Anaplan

Hyperion

Tableau

Looker

Power BI

Job description

Yahoo is seeking an experienced FP&A professional to own consolidated revenue reporting and the driver layer that fuels forecasting across our portfolio. You will validate inputs from multiple business units, turn marketing spend into measurable returns, and partner with Marketing, Data, and Accounting to automate reporting.

You will apply AI-enabled analytics to accelerate variance analysis, maintain a robust P&L view, and build trusted dashboards in Tableau, Looker, or Power BI.