AmazonPosted 1w ago

Sr. Financial Analyst, WW Operations Sustainability Finance

Sr. Financial Analyst, WW Operations Sustainability Finance at Amazon scores 45 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

US, VA, Arlingtonseniorfull-time$74k-$129k

AI in this role

Senior Financial Analyst supporting sustainability finance and contributing to an AI-native reporting model with GenAI variance commentary.

financial-analysiscarbon-accountingdata-structuresautomation

WW Operations Finance is looking for a Sr. Financial Analyst to join the Carbon Planning & Analysis team, supporting North America region (NA). CP&A is the Finance Single Threaded Leader for carbon intensity (CI) data integrity, reporting, and planning across WW Ops' ~45MM tCO2 annual footprint, directly supporting the WW Ops S-team carbon intensity goal and Amazon's Climate Pledge commitment of net zero by 2040. This role will maintain and improve the data structures underpinning NA carbon reporting and planning, partner cross-functionally and cross-country with regional sustainability and BI teams, and deep-dive data quality challenges as they arise. The role sits at the intersection of Sustainability, Finance, and Operations - a rare combination that gives the analyst exposure to carbon science, financial planning rigor, and operational decarbonization levers all in one seat, and offers a strong foundation for building differentiated expertise in their career. The analyst will operate with growing autonomy over time as regional carbon data fluency builds.

Key job responsibilities
- Support NA carbon month-end close (MEC), ensuring carbon ledger (GCD) aligned data quality and timely resolution of carbonation and data quality issues.
- Maintain and continuously improve carbon reporting and planning data structures within data cluster and Carbon Reporting Deck.
- Partner cross-functionally with regional sustainability, BI, and BU Finance teams to consolidate data requests, validate submissions, and resolve discrepancies.
- Support carbon planning cycles (OP1/3YF, OP2, Glidepath), ensuring carbon drivers (LMPP, 3P cost, WHT LoH, fleet electrification) are captured accurately and tie to the broader financial plan.
- Deep-dive data quality and reporting challenges, identify root causes, and propose process or automation improvements.
- Contribute to CP&A's transition toward an AI-native reporting and planning model - supporting GenAI-powered variance commentary, automated data quality checks, and other tools that reduce manual reconciliation work.
- Assist in preparing variance commentary and metrics tables for leadership reporting (Kingpin, WWS reviews), under the guidance of a senior team member.
- Escalate data quality, timeline, or stakeholder risks promptly, partnering with the senior team member on resolution.
- Build subject-matter expertise in carbon data systems and regional carbon drivers to grow scope over time.

A day in the life
Your day starts with a check of data submission status and the latest carbon ledger (GCD) snapshot, flagging any late, missing, or anomalous data before it becomes a downstream reporting issue. For this you will use AI tool you have built. You'll join a call with an NA sustainability or BI counterpart to align on a carbon driver discrepancy or walk through a data request - always leading with data lineage and methodology clarity, since regional teams often hold their own numbers. Back at your desk, you update Carbon Reporting Deck tabs for your regions, validate CI calculations, and dig into any variances that don't tie to plan. You sync with your senior team member to review findings, prioritize open items, and decide what needs escalation versus what you can resolve independently. Depending on the point in the month, your afternoon might involve supporting a planning cycle deliverable (OP1/3YF, OP2, Glidepath), pulling together inputs for a leadership review, or scoping a process improvement to reduce manual reconciliation work.

About the team
Carbon Planning & Analysis sits within WW Operations Finance and was built from scratch in 2024 to bridge carbon science and financial planning across Amazon's largest and most complex emissions source. The team serves as the Finance Single Threaded Leader for carbon intensity reporting, planning, and data integrity across NA, EU, and ROW - covering 10+ business units and over 45MM tCO2 of annual operations-wide emissions. CP&A owns the monthly carbon month-end close, the Carbon Reporting Deck (WW Ops' single source of truth for CI), and multi-year carbon planning (OP1/3YF, OP2), directly informing decisions at the VP and S-team level in support of the Climate Pledge's net zero by 2040 commitment. It's a small, high-visibility team that combines rigorous financial modeling with deep carbon domain expertise, and is actively building out AI-native automation for data quality checks and variance commentary.

Basic qualifications

- Bachelor's degree in finance, accounting or related field
- 3+ years of finance, tax or a related analytical field experience
- 3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience
- 3+ years of dissecting financial data, identifying patterns that support business strategy experience, and forecasting

Preferred qualifications

- Experience developing financial models in Excel with advanced functions (pivot tables, macros, VBA, Power Query)
- Experience with data analytics platforms (Power BI, Python, SQL, Tableau)

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 73,600.00 - 128,800.00 USD annually
USA, TN, Nashville - 60,200.00 - 105,400.00 USD annually
USA, VA, Arlington - 66,900.00 - 117,100.00 USD annually
USA, WA, Bellevue - 82,700.00 - 117,100.00 USD annually

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Financial AnalysisCarbon AccountingData StructuresAutomation

Questions you could be asked

Tell me about a project where financial analysis was part of your work. What did you do?
Tell me about a project where carbon accounting was part of your work. What did you do?
Tell me about a project where data structures was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?

Adapt your resume

List these exact terms on your resume: Financial Analysis, Carbon Accounting, Data Structures, and Automation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

Want your resume actually rewritten for this job?

The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.