A

Amazon

Sells products online and rents cloud computing

Finance Manager

Corporate Finance & FP&AConfirmed live in the last 24 hours
Full-timeBellevue, WA, USAIn-person

About the Job

Requirements

  • At least 6 years of experience applying key financial performance indicators to analyses.
  • At least 6 years of experience building financial and operational reports or data sets that inform business decision-making.
  • At least 6 years of experience participating in continuous improvement projects to scale and improve controllership with measurable results.
  • At least 5 years of experience leading cross-functional initiatives that drive financial performance and strategy.
  • At least 5 years of experience dissecting financial data and identifying patterns that support business strategy.
  • At least 5 years of experience in finance, accounting, or a related analytical field.
  • A bachelor's degree in business, finance, accounting, tax, economics, or a related analytical field.
  • Must meet export control requirements as a U.S. citizen or national, U.S. permanent resident, lawfully admitted refugee, or person granted asylum.

Responsibilities

  • Support the Senior Manager and Director in defining the Business Assurance strategy and implementing Business Assurance controls across Kuiper work streams.
  • Track business partners' performance against OP and R&O plans, hold them accountable, and provide insights into variance drivers.
  • Own and scale Business Assurance capabilities across revenue, cost, and end-to-end business processes, combining financial analysis, controllership, data, automation, and cross-functional execution to protect financial outcomes and identify margin-improvement opportunities.
  • Analyze end-to-end revenue and cost flows to identify leakage, financial risks, control gaps, and margin-improvement opportunities; develop and operate preventive and detective controls to improve financial accuracy and strengthen controllership.
  • Extract and analyze financial and operational data to identify anomalies, trends, revenue opportunities, cost inefficiencies, and ways to improve business performance.
  • Design, implement, validate, and continuously improve revenue and cost assurance audits, controls, risk indicators, and monitoring mechanisms; lead discrepancy investigations, root-cause analysis, remediation, and reporting.
  • Represent Business Assurance in enterprise initiatives from feasibility and requirements definition through implementation and post-launch validation; assess financial risks, define control requirements, validate system and transaction flows, and ensure financial requirements are incorporated into product design.
  • Partner with Product, Marketing, Finance, and Business teams to evaluate offers, pricing, promotions, and business models for financial and operational risks; perform post-launch analysis to validate implementation accuracy, financial outcomes, and business-case assumptions.
  • Review existing business and financial processes, identify control and operational gaps, and work with cross-functional partners to prioritize and implement scalable improvements.
  • Take agentic AI capabilities from prototypes to supported, documented, reusable products; own rollout, onboarding, adoption, operating mechanisms, and long-term sustainability.
  • Partner with Data Engineering, BIEs, and Finance teams to establish reliable, curated data feeds supporting management reporting, strategic insights, and assurance detection; establish standards for data quality, lineage, access, reconciliation, and monitoring.
  • Build agentic workflows, automated monitoring, dashboards, status mechanisms, and escalation processes to reduce manual coordination and investigation; apply AI and automation to improve detection, investigation, reporting, and operational efficiency.
  • Define reusable standards for assurance controls, data quality, governance, detection logic, reporting, and productization for adoption across BizOps areas including Customer Support, Field Services, Supply Chain, Delivery, and GTM.
  • Bring together Finance, Accounting, Product, Engineering, Data/Science, Business Operations, and external partners to resolve dependencies and establish common financial metrics, controls, and detection logic.
  • Work alongside BIEs and other technical resources embedded within Business Assurance, establish engineering and delivery patterns, prioritize the roadmap, mentor team members, and build capabilities that enable the organization to operate at scale.
  • Document and present audit results, financial analyses, risks, root causes, recommendations, and business opportunities to Finance and business leadership; translate complex financial and operational findings into clear actions and measurable outcomes.

Desired Qualifications

  • At least 6 years of experience identifying incomplete or inaccurate data, finding root causes, and creating and implementing escalation plans.
  • At least 6 years of experience solving complex business challenges by delivering accurate and timely financial models, analyses, and recommendations with demonstrated business impact, such as financial savings, operational improvements, or customer benefits.
  • An MBA.
  • Knowledge of SQL and ETL.
  • Experience working with large-scale data mining and reporting tools such as SQL, MS Access, Essbase, and Cognos, and financial systems such as Oracle, SAP, Lawson, and JD Edwards.
  • Experience delivering forecasting, budgeting, and variance analysis, and interpreting data results.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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