Senior Commercial Financial Analyst EU Ads, Amazon Ads EU Sales Finance

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. Beyond the numbers, you will design self-serve reporting infrastructure and AI-enhanced tools that put insights directly into the hands of decision-makers, removing bottlenecks and scaling the way finance supports the business. This is a role where analytical rigor meets strategic influence - you will be a trusted partner to senior stakeholders, translating complex data into clear actions that accelerate revenue growth.

• Key job responsibilities
• •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.

• A day in the life
• Your morning might start with a deep dive into variance analysis from the latest month-end close, followed by a working session with business partners to align on planning assumptions. After lunch, you could be refining an automated reporting tool alongside a Business Intelligence Engineer or preparing a concise summary of key financial trends for an upcoming business review. You will regularly balance recurring financial processes with project work aimed at improving how your team operates, all while building relationships across the organization.

• About the team
• Amazon Ads operates at the intersection of advertising and eCommerce, offering a broad range of innovative advertising solutions across Amazon’s mobile and desktop experiences, proprietary devices, and demand-side platform (DSP). We are building new capabilities in an important area of future growth for Amazon. Our teams are entrepreneurial, have a strong bias for action, and operate with a broad mandate to experiment, innovate, and develop scalable solutions.
• The EU Ads Sales Finance team sits at the centre of this growth, providing analytical and financial leadership for initiatives that help European advertisers unlock the full potential of Amazon DSP across the Open Internet. We partner closely with Sales, Go-To-Market, Ad Tech, and Supply teams to translate data into actionable insights and support senior leadership decision-making.

Basic qualifications

• - 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

Preferred qualifications

• - 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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