AmazonSenior Financial Analyst, Prime Video Finance
Amazon is hiring a Senior Financial Analyst, Prime Video Finance in Seattle, United States. It pays $83k-$117k 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 SQL, Python and financial analysis among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
- Posted within the past week.
AI in this role
Senior Financial Analyst for Prime Video Finance responsible for driving product analytics and financial insights using SQL and optional AI tools.
Prime Video offers customers the largest selection of any streaming service in the world, combining exclusive content available for Prime members (Amazon Original hits like Fallout, Reacher, and The Boys; licensed content from other studios; live events such as Thursday Night Football), 3P Channel subscriptions such as Paramount+, HBO Max, and Apple TV+, an expansive catalog of transactional (rent or buy) content, and linear ad supported channels with 24/7 programming. The PV team comprises individuals who are all obsessively focused on one mission: to give consumers the world's best in class digital video customer experience.
Our team connects business strategy to financial outcomes for the Prime Video Product and Business teams. You will own analyses that shape how the product evolves - what features drive acquisition and conversion, what drives retention, and where the returns on product investment actually are. While your analysis will focus on the US market, you will also collaborate with International teams to ensure we leverage insights globally.
The ideal candidate is someone who loves to dive into data and transform it into insights that connect back to the customer experience. Familiarity with SQL and large datasets is critical in order to access and combine data to iterate on new metrics and analyses. An interest in going one step further, using Python or AI tooling to automate and scale your own analysis, is a welcome addition. This is a fast-paced environment with inherent ambiguity which requires a self-starter that is comfortable working independently. They must be comfortable performing detailed, complicated analysis and communicating findings to stakeholders in a clear, efficient manner that highlights the most relevant points to the business’ strategy.
Key job responsibilities
- Partner directly with product managers and business leaders to size opportunities before they are built, and measure whether launches delivered what was sized
- Own and extend analytical tooling that lets product leaders size opportunities and measure results directly
- Develop performance tracking metrics that provide strategic insights for Prime Video's product and business leadership
- Prepare strategic analyses, reports, and recommendations that directly influence business strategy and investment decisions
- Collaborate cross functionally to support data driven decision making
A day in the life
Some days are analysis: pulling data, building a model, writing up what it means for a product decision. Others are building: extending a tool so it answers a question it could not answer last week, or automating a report so the time can go into the insight instead of the assembly. Most days are both.
About the team
We love Prime Video, but more broadly TV and film entertainment in general. Applying that passion on a daily basis and being able to connect our work to how Prime Video delivers for customers is what keeps us going. While we are a Finance team, we very much feel like part of the business and product teams and are treated as such.
Basic qualifications
- 3+ years of tax, finance or a related analytical field experience
- 3+ years of applying key financial performance indicators (KPIs) to analyses experience
- 3+ years of creating process improvements with automation and analysis experience
- 3+ years of dissecting financial data and identifying patterns that support business strategy experience
- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
Preferred qualifications
- 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
- MBA, or CPA
- Knowledge of Tableau
- 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 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), or experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)
- Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
- Experience leading cross-functional teams to deliver products and projects on tight deadlines
- Experience with strong project management skills and the ability to thrive in a fast-paced environment
- Experience handling ambiguous or undefined challenges through strong problem solving abilities
- 3+ 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
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
How we rate this
Senior Financial Analyst, Prime Video Finance at Amazon rates 20 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
- $83k
- Typical finance job
- $105k
This posting starts 21% below the typical finance job. See finance jobs
Questions you could be asked
- Tell me about a project where financial analysis was part of your work. What did you do?
- Tell me about a project where data analysis 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?
- What's a project where you used SQL hands-on?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Financial Analysis, Data Analysis, Forecasting, SQL, and Python. 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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