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Finance Manager, Global Prime Finance

Amazon is hiring a Finance Manager, Global Prime Finance in Seattle, United States. It pays $95k-$163k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this finance role Little AI ●○○○: aI is not part of the work.
  • The posting mentions financial modeling, data analysis and business intelligence among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Provide strategic finance support and customer engagement insights for the Global Prime Finance Lifecycle Engagement team.

financial-modelingdata-analysisbusiness-intelligence
Global Prime Finance (GPF) seeks a Finance Manager to join the Lifecycle Engagement (LEO) team. This role is instrumental in providing customer engagement and spend insights to the World Wide (WW) Prime organization, as well as Amazon-wide business teams that leverage the widely adopted LEO framework. The LEO pillar exists to analyze and understand what makes customers join Prime and deepen their engagement with our products and services over time. This position will provide strategic Finance support to business and marketing teams to help them develop strategies that drive customer retention and deepen engagement with Amazon.

Acting as a Subject Matter Expert (SME) for all-things LEO, this position will play a key role in deepening the understanding of our customers’ behaviors, spend patterns, and benefit usage. This individual will be responsible for partnering with cross-functional teams to perform analysis, develop new metrics, and build forecasts/insights that support and drive strategic business decisions. If you enjoy using analytical skills to shape strategy and build new initiatives from concept to scale, this is the opportunity for you.

We are looking for a strategic and analytical partner to join LEO, who is not afraid of ambiguity and likes to build mental models, mechanisms, and frameworks. This role provides a unique opportunity to support different businesses and multifunctional teams, inside and outside of the WW Prime organization. The right individual indexes high on Learn and Be Curious, Invent and Simplify, and Dive Deep. They foster the willingness to streamline and automate, decreasing redundancy in reporting and insights, while developing new tools to better support their business partners.


Key job responsibilities
- Partner with the GPF Business Intelligence (BI) team to develop and scale LEO reporting, inclusive of P0s, CBR slides, and funnel views.
- Remove redundancies across existing reporting, deprecate low/no-usage reports, and fully automate MEC/QEC reporting.
- Conduct deep dives to identify, track, and understand trends related to customer engagement, retention, spend, and profitability across various customer cohorts and LEO segments.
- Provide thought leadership in the area of quantifying the value of distinct customer segments and behaviors.
- Develop new metrics that help understand members' holistic engagement with the program, and influence strategies to drive retention and engagement.
- Perform ad hoc analysis and deep dives to support the WW Prime teams with strategy development.
- Support the LEO 2.0 Bar Raisers by sharing segmentation insights and onboarding new BRs.


About the team
This position is part of a high-performing, fast-paced Finance team whose mission is to be the trusted strategic advisor to the business and the go-to source for an end-to-end understanding of the Amazon customer. This is a highly visible role within the finance team and requires strong partnership and communication.

Basic qualifications

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

Preferred qualifications

- Knowledge of SQL/ETL
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
- Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits)
- Experience performing ad hoc analysis using advanced Excel
- Experience in creating process improvements with automation and analysis

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 - 95,400.00 - 163,200.00 USD annually

How we rate this

Finance Manager, Global Prime Finance at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Skills and AI tools this role asks for

Financial ModelingData AnalysisBusiness Intelligence

Pay

This job starts at
$95k
Typical finance job
$105k

This posting starts 9% below the typical finance job. See finance jobs

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