This role requires a self-starter and independent individual with strong financial modeling abilities, problem solving skills, a keen attention to detail, and the ability to work in a fast-paced environment with ambiguous situations.
Key job responsibilities
-Apply analytical prowess across all areas of our advertising business to uncover insights into potential opportunity areas for optimization
-"Size the prize" on our customer-data focused initiatives, translating an idea into an actionable and concrete plan for driving value to the business
-Utilize petabytes of data in complex analysis, partnering with data scientists, business intelligence engineers, and economists, to go beyond the scope of traditional finance work
-Establish new reporting tools, metrics, and mental models for how we think of and measure the efficacy of our programs
-Write white papers for leadership on ambiguous and thought provoking topics
-Learn about all aspects of digital advertising (data-protection, supply, demand, auctions, etc.)
BASIC QUALIFICATIONS
- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
- 5+ years of tax, finance or a related analytical field experience
- 5+ years of multiple finance and accounting roles experience
- 5+ years of applying key financial performance indicators (KPIs) to analyses experience
- 5+ years of building financial and operational reports/data sets that inform business decision-making experience
- 5+ years of creating process improvements with automation and analysis experience
- 5+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
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.