Senior Financial Analyst, Worldwide Operations Security Finance, STEP Finance

AI in this role

Senior Financial Analyst needed to support Amazon's Worldwide Operations Security Finance by driving strategic financial insights and data mining.

excel

financial-modelingdata-miningfinancial-analysis

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.

How we score this

Senior Financial Analyst, Worldwide Operations Security Finance, STEP Finance at Amazon scores 10 out of 100 for how much of the daily work is AI. That makes it AI Level 1 of 4 (Little AI). The level is about AI in the job, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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Skills and AI tools this role asks for

Financial ModelingData MiningFinancial AnalysisExcel

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Tell me about a project where financial modeling was part of your work. What did you do?
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