Finance Manager, Device Science Optimization
Seattle, Washington
Device Science Optimization (DSO) Finance seeks an experienced Finance Manager to be a key member supporting our Device Economics & Subscriptions Science teams. This is an exciting opportunity to join one of the most innovative and fast growing businesses of Amazon in a role where you will have regular interaction with executives and various business units across the organization.
The successful candidate will be a self-starter with strong data collection and outstanding financial analysis, a keen attention to detail, and ability to manage multiple projects effectively.
The role also requires regular interaction with various business teams. The role provides business support for decision making and ability to influence decisions through effective logical reasoning and the presentation of alternatives/scenarios.
Key job responsibilities
Present financial summaries and business insights to senior management
Track initiatives that span multiple business functions
Derive meaningful insights and recommendations from large data sets
Provide short and long-term financial planning & analysis for team operating expenses
Create and implement scalable mechanisms over various financial projects
Develop scalable processes to drive the overall business goals by closely managing business financials
Manage and develop scalable financial tools and reports that align and simplify monthly business reviews, annual planning and forecasting exercises
Build financial models, perform project based analyses, and present findings to management
BASIC QUALIFICATIONS
- 5+ years of tax, finance or a related analytical field experience
- 5+ years of multiple finance and accounting roles experience
- 6+ years of applying key financial performance indicators (KPIs) to analyses experience
- 6+ years of building financial and operational reports/data sets that inform business decision-making experience
- 6+ years of creating process improvements with automation and analysis experience
- Bachelor's degree
PREFERRED QUALIFICATIONS
- 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
- 6+ years of 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
- MBA, or CPA
- 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 delivering forecasting, budgeting, and variance analysis, and data interpretation of results
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $85,900/year in our lowest geographic market up to $179,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
The successful candidate will be a self-starter with strong data collection and outstanding financial analysis, a keen attention to detail, and ability to manage multiple projects effectively.
The role also requires regular interaction with various business teams. The role provides business support for decision making and ability to influence decisions through effective logical reasoning and the presentation of alternatives/scenarios.
Key job responsibilities
Present financial summaries and business insights to senior management
Track initiatives that span multiple business functions
Derive meaningful insights and recommendations from large data sets
Provide short and long-term financial planning & analysis for team operating expenses
Create and implement scalable mechanisms over various financial projects
Develop scalable processes to drive the overall business goals by closely managing business financials
Manage and develop scalable financial tools and reports that align and simplify monthly business reviews, annual planning and forecasting exercises
Build financial models, perform project based analyses, and present findings to management
BASIC QUALIFICATIONS
- 5+ years of tax, finance or a related analytical field experience
- 5+ years of multiple finance and accounting roles experience
- 6+ years of applying key financial performance indicators (KPIs) to analyses experience
- 6+ years of building financial and operational reports/data sets that inform business decision-making experience
- 6+ years of creating process improvements with automation and analysis experience
- Bachelor's degree
PREFERRED QUALIFICATIONS
- 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
- 6+ years of 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
- MBA, or CPA
- 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 delivering forecasting, budgeting, and variance analysis, and data interpretation of results
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $85,900/year in our lowest geographic market up to $179,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Created: 2024-08-22
Reference: 2684991
Country: United States
State: Washington
City: Seattle
ZIP: 98109
About Amazon
Founded in: 1994
Number of Employees: 1600000
Website: https://www.amazon.com/
Career site: https://www.amazon.jobs/en/
Instagram: https://www.instagram.com/amazon/
LinkedIn: https://www.linkedin.com/company/amazon/
Facebook: https://www.facebook.com/Amazon
Similar jobs:
-
Applied Scientist - Operations Research/Optimization, Cognitive Science Team
Amazon in Seattle, Washington💸 $136000 per year -
Manager, Research Science, Fulfillment Planning and Execution Science - Fulfillment Optimization
Amazon in Bellevue, Washington💸 $157600 per year -
Applied Scientist - Operations Research/Optimization, Cognitive Science Team
Amazon in Seattle, Washington💸 $136000 per year -
Software Development Engineer, Demand Science Optimization (DSO)
Amazon in Seattle, Washington💸 $129300 per year -
Manager, Research Science, Fulfillment Planning and Execution Science - Fulfillment Optimization
Amazon in Bellevue, Washington💸 $157600 per year -
Senior Applied Scientist, Fulfillment Planning \u0026 Execution Science - Fulfilment Optimization SCOT
Amazon in Bellevue, Washington💸 $150400 per year -
Applied Science Manager, Campaign Measurement \u0026 Optimization
Amazon in Seattle, Washington💸 $165500 per year -
Software Development Engineer, Demand Science Optimization (DSO)
Amazon in Seattle, Washington💸 $129300 per year