AmazonFinance Manager, Advertising Product Finance
Amazon is hiring a Finance Manager, Advertising Product Finance in New York, United States. It pays $105k-$180k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this finance role: aI is not part of the work.
- The listed pay starts close to the typical finance posting on Level.
- Tools and skills the posting cites include Excel, SQL and financial modeling.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Finance Manager needed to support Amazon's Video Advertising product team with financial modeling, monetization analysis, and business reporting.
This role will play a key role in evaluating ambiguous and complex monetization opportunities, designing new or enhance reporting and models that make our data more actionable, developing and communicating business insights through data analytics, and owns reporting functions during the various business review, planning, and forecasting phases in finance.
Key job responsibilities
The successful candidate will be highly motivated and have the ability to tackle multiple projects and efficiently execute deliverables; move and adapt quickly to new information or change in strategic direction; can dive deep into data to understand and identify business trends; is detail oriented and has the ability to work well with cross-functional business and finance stakeholders; has strong oral and written communication skills and solid business acumen capable of driving results and improving processes; can think clearly, analyze quantitatively, problem-solve and prioritize.
About the team
The DAV advertising product finance team directly supports Amazon Device, Audio, and Video advertising demand-side platform (DSP) product teams. We also act as internal partners to support and drive our ad sales and supply teams. Our focus is to accelerate top-line revenue and improve profitability by evaluating overall ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other various product drivers of growth.
DAV product finance manages our business priorities through modeling new opportunities and initiatives, developing key operational metric reports with actionable insights, and building input-based forecasts.
Basic qualifications
- 5+ years of tax, finance or a related analytical field 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 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, NY, New York - 104,900.00 - 179,500.00 USD annually
USA, WA, SEATTLE - 95,400.00 - 163,200.00 USD annually
How we rate this
Finance Manager, Advertising Product 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in finance jobs at this level
Pay
- This job starts at
- $105k
- Typical finance job
- $105k
This posting starts close to the typical finance job. See finance jobs
Questions you could be asked
- Tell me about a project where financial modeling was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where forecasting was part of your work. What did you do?
- Tell me about a project where monetization was part of your work. What did you do?
- Walk me through how you've used Excel in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Financial Modeling, Data Analytics, Forecasting, Monetization, and Excel. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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