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Senior Finance Analyst - FP&A, Amazon Global Sales Finance - EMEA

London, GBSalary not listedPosted 72 days ago

Immigration summary

Visa sponsorship

UnclearInsufficient evidence

We didn't find recent H-1B sponsorship history for this employer.

1220 of 22213 recent openings here state a sponsorship restriction

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Green card sponsorship

UnknownNo recent PERM history

We didn't find recent certified PERM filings for this employer.

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Job description

Amazon Web Services (AWS) seeks a Senior Finance FP&A Analyst to be a key member supporting EMEA Commercial Sales.

This is an exciting opportunity to join one of the fastest growing divisions within Amazon in a newly created role. As a Senior Finance Analyst, you will partner closely with business leaders and their teams, providing strategic support by developing financial models and generating analytical insights to evaluate business opportunities and concepts. You will turn insights into operational measurements and drive innovation to improve our planning and forecasting tools and processes.

This role requires a financial modeling background, advanced Excel abilities, problem solving skills, a keen attention to detail, an ability to work in a fast-paced environment with ambiguous situations and project management skills. This role has regular interaction with various business units across Amazon and requires strong interpersonal skills.

At Amazon, we believe that in-person collaboration is essential to our culture and innovation. While we allow flexibility for personal circumstances, we generally expect employees to work from our offices five days a week. This approach has consistently shown that spontaneous interactions, rapid problem-solving, and the energy of in-person teamwork lead to better results for our customers. In particular, our data shows that teams working together in person are more effective at making complex decisions, onboarding new team members, and fostering the kind of creative collaboration that has driven Amazon's success. The serendipitous hallway conversations and impromptu whiteboarding sessions that happen naturally in an office environment have proven invaluable to our invention process and maintaining our high bar for excellence.

Key job responsibilities

  • Build financial models for new business concepts
  • Drive short- and long-term financial planning
  • Partner with business team to implement new processes (controllership) and drive the improvement of existing processes
  • Present financial summary and business insights to senior management, to help business partners understand areas of growth as well as opportunity for engagement
  • Tighten internal controls for program spending investments

Basic qualifications

  • Bachelor's degree, or MBA
  • Experience in creating process improvements with automation and analysis
  • Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results, or experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits)
  • Experience applying key financial performance indicators (KPIs) to analyses, or experience in building financial and operational reports/data sets that inform business decision-making
  • Experience using complex modeling and analysis to inform key business decisions
  • Experience in commercial finance business partnering or FP&A (at multinational organisation.)

Preferred qualifications

  • MBA, or CPA
  • Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable 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)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Sponsorship evidence

Why Openbound reached the conclusions above.

Visa sponsorship evidence

Current posting

Silent on sponsorship

Other openings

1220 of 22213 recent openings at this employer state a sponsorship restriction.

Employer H-1B history

No recent H-1B filings on record

This employer's identity is verified, and no certified H-1B filing was found for it in the fiscal years held.

Green card sponsorship evidence

Employer PERM history

No recent PERM filings on record

This employer's identity is verified, and no certified PERM case was found for it in FY2023, FY2024, FY2025.

Filing history reflects past employer behavior; it isn't a promise for this opening.

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How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.