Senior Finance Analyst , Applied AI Solutions - AWS Connect

Amazon Web Services (AWS) is seeking a Senior Financial Analyst to be a trusted finance partner for the product leaders in the Connect AI Finance team, within Applied AI Solutions (AAIS) Finance organization.

This role works across the fast-growing Amazon Connect business team and will own the financial integration of mergers & acquisitions within our business portfolio, design the financial reporting strategy for our Connect AI products, and drive better understanding of growth opportunities and customer adoption trends. The successful candidate will be able to communicate effectively and manage time sensitive deliverables, along with managing risks and opportunities. The individual will also possess strong business/finance partnership skills and collaborate effectively with key stakeholders.

Key job responsibilities
- Partner with business leaders to formalize reporting structure and cadence for our AI acceleration acquisition(s)
- Own the financial analysis processes, leverage AI agents for deep dives on AWS revenue, pricing, capex and operating expenses.
- Drive process improvements, manage ad-hoc requests from senior finance leadership.
- Create efficiency improvement opportunities including automation and coordination with upstream and downstream organizations.
- Collaborate with finance teams across AWS to standardize and streamline improvements, remove roadblocks, and increase the reliability and efficiency of reporting.

Basic Qualifications

- 3+ years of tax, finance or a related analytical field experience
- 3+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience
- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
- Experience in financial modeling, P&L management or analysis
- Experience in forecasting, budgeting, variance analysis, and interpreting financial results, or experience working with Excel, reporting tools, and large-scale data mining tools, such as Power BI, Python, SQL, or Tableau
- 3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience
- 3+ years of dissecting financial data and identifying patterns that support business strategy experience

Preferred Qualifications

- MBA, or CPA
- Knowledge of of financial reporting tools (Cognos, Redshift)
- Experience working in a large team or fast-paced corporate environment
- 3+ years of creating process improvements with automation and analysis experience
- 3+ years of applying key financial performance indicators (KPIs) to analyses experience

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, WA, Seattle - 82,700.00 - 117,100.00 USD annually