Commercial financial analyst in digital advertising

As Senior Financial Analyst for Devices Finance within Amazon Ads EU Sales Finance, you will shape the financial direction of a growing digital advertising business across the EU. You will own end-to-end revenue forecasting, performance analysis and pricing - partnering with Sales, Go To Market, Devices Product and Leadership teams to surface opportunities, quantify risks, and drive accountability on growth initiatives.

• Own for EU Devices Ad business the end-to-end revenue forecasting and the weekly, monthly and quarterly review cadence.
• Track opportunities and risks at market level, proactively flagging concerns, quantifying revenue opportunities and recommending actions to Sales leadership.
• Partner with the Devices Go To Market and Product teams on growth initiatives to drive adoption and accelerate revenue.
• Own the financial framework for initiatives - track performance, identify optimisation levers and drive cross-team accountability on execution.
• Conduct annual pricing review for devices ad placements and design advertiser incentives to boost growth
• Design self-serve reporting infrastructure - dashboards (QuickSight, Tableau), automated data pipelines, and AI-enhanced tools that enable Sales and Leadership to access insights without finance bottlenecking.
• Author and distribute regular strategic priority newsletters to Leadership - providing concise updates on in-flight initiatives, emerging risks, key decisions needed, and progress against goals.

• Bachelor's degree in Finance, Mathematics, or Economics, or a Professional accounting qualification (e.g. ACA, ACCA, CIMA, CPA, or equivalent) and experience in commercial finance business partnering or FP&A
• Experience applying key financial performance indicators (KPIs) to analyses
• Experience in creating process improvements with automation and analysis
• Can demonstrate strong numerical and analytical skills
• Can demonstrate proficiency in Microsoft Excel or equivalent spreadsheet tools
• Будет плюсом: Experience in forecasting, budgeting, variance analysis, and interpreting financial results; Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards); Experience developing financial models in Excel with advanced functions (pivot tables, macros, VBA, Power Query); Experience working with stakeholders; Experience making strategic business decisions and managing internal relationships

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