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Senior Financial Analyst, Worldwide Operations Security Finance, STEP Finance

Madrid, ESSalary not listedPosted yesterday

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

The WWOS Finance team supports Worldwide Operations Security (WWOS) organization is dedicated on driving the Amazon flywheel. As part of the team, you will provide primary support to the WWOS leadership team to validation of project analysis, CAPEX methodologies, support directors in strategic alliance across the field network and deliver analysis to identify opportunities and benefits impacting OPEX or CAPEX execution across Amazon Network

WWOS Finance seeks a Sr. Financial Analyst to provide primary support to the overall Amazon cost structure and deliver financial insight on strategic investments to Senior Leadership. This role collaborates closely with a broad range of global finance and business leaders across Procurement, Field, Compliance, Risk and Insurance, and Operations teams. The role also partners with stakeholders across technical project and security teams, as well as FP&A. This role involves collecting, analyzing, and managing quantitative data and creating meaningful reports to track investment spend and program performance related to business improvement and cost reductions across the global supply chain. This role also maintains spend and savings measurements, and partners with stakeholders on the strategic input drivers that continuously improve the scalability, efficiency, and returns of program execution.

The successful candidate has demonstrated the following abilities: they influence business owners, support thoughtful decision-making, and adapt to a rapidly-evolving environment. They collaborate with executives and various business units across Amazon. You bring excellent verbal and written communication skills. A typical day in this role provides an opportunity to innovate by building creative solutions with large-scale data mining tools, identifying the high-priority work and projects that maximize results for key stakeholders, and solving complex problems that effect company-wide strategic decisions.

Key job responsibilities
Use solid financial knowledge and business acumen to build financial models, interpret data, draw conclusions, and make recommendations that deliver results, drive improvements, and influence leaders throughout Amazon. These decisions can have global impact.

Deliver weekly/monthly financial close.

Use financial systems and advanced Excel functions to work with large data sets. Outputs plans, forecasts, budgets, and consolidations.

Create effective business partnerships, manage competing priorities, and provide guidance based on data analysis during unexpected events

Use active listening skills intuitively to communicate data (both written and verbal) in a clear, concise, and unambiguous manner. Adjust style for various audiences to articulate complex finance issues clearly.

Collect and analyze quantitative data to develop relevant reports that drive cost reductions.

Seek and leverage diverse perspectives in all activities.

Identify opportunities to resolve defects proactively. Improve, scale, or simplify finance tools across teams and organizations.

Basic qualifications

  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field, or experience in relevant finance roles
  • Experience in forecasting, budgeting, variance analysis, and interpreting financial results
  • Experience using financial models, KPIs, and data analysis to inform business decisions with proven business impact (e.g., financial savings, operational improvements, or customer benefits)
  • Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results

Preferred qualifications

  • Master's degree (MBA or related discipline)
  • Experience with data analytics platforms (Power BI, Python, SQL, Tableau)
  • Experience making strategic business decisions and managing internal relationships, or experience working with stakeholders
  • Experience working in a large team or fast-paced corporate environment
  • Experience troubleshooting problems and offering solutions to streamline complex challenges

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.

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.