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Senior Financial Analyst, Prime Video - Marketing EU + LATCAN

London
Posted 1 day ago
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The Prime Video Finance team seeks a Senior Finance Analyst

The Prime Video Finance team seeks a Senior Finance Analyst to own the financial planning, willingness to pay and performance measurement of our performance marketing channels across Digital Evergreen, Paid Search, and Associates. This is a high impact role at the intersection of marketing investment and data driven decision making, responsible for influencing where and how much to spend across these channels, and for tracking the value that investment delivers to the business.

This is an exciting and fast evolving area with significant potential. Performance marketing generates rich data on impressions, clicks, attribution and conversion that is only the start! The role will be responsible for building the analytical frameworks and business cases that translate this data into investment recommendations, and for developing the reporting infrastructure that connects spend to measurable business outcomes.

The role would suit a commercially astute and highly analytical finance professional who is comfortable working with large volumes of granular data but also able to step back and frame the strategic case for investment. Experience with digital marketing metrics, programmatic buying, or performance media would be an advantage but is not essential. What matters is the ability to build financial models, construct persuasive business cases, and communicate clearly with both marketing and finance stakeholders.

Amazon Prime Video is a premium on-demand video entertainment service that offers customers the greatest choice in what to watch from popular Prime Original TV shows (made by Amazon Studios) such as The Rings of Power, The Grand Tour, The Boys, Reacher to Prime Original Movies like Saltburn and Air. The service also offers TV shows that are exclusively available for Prime members in each country, as well as live sport including the US TNF and The Champions League.

Prime Video is at the forefront of the entertainment industry and growing fast. We work in a dynamic and exciting environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on...

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Key job responsibilities

  • Build and maintain financial models that determine optimal spend levels across digital evergreen, Paid Search, and Associates channels by country and campaign type.
  • Develop business cases for investment, based on business outcomes and downstream customer value.
  • Own the end to end performance reporting for performance marketing, connecting spend to acquisition, engagement, and retention outcomes.
  • Partner with marketing teams to translate campaign data into actionable insights on channel efficiency and budget reallocation opportunities.
  • Track and report the impact of performance marketing to the broader business, establishing clear attribution of spend to customer outcomes.
  • Identify opportunities to leverage underutilised data across performance channels to deep dive and improve planning accuracy and investment decisions.
  • Support planning cycles (OP1, OP2, Guidance, QBRs) with performance marketing specific inputs, forecasts, and variance analysis.

About the team

The team is highly dynamic and believes in high standards and earning trust with our business stakeholders. We pride ourselves in great working relationships with the marketing business, whilst being able to provide objective financial analysis and performance feedback. It is a diverse and fun team to work in, as is the marketing team and the wider Prime Video business the team supports.

Basic Qualifications

  • Bachelor's degree in accounting, information systems, finance, or equivalent, or a Bachelor's degree and experience in quantitative role (engineering, process re-engineering, quality assurance)
  • Experience in tax, finance or a related analytical field
  • Experience in accounts receivable or account payable
  • Experience applying key financial performance indicators (KPIs) to analyses
  • Experience in creating process improvements with automation and analysis
  • Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
  • Experience with advanced use of SQL for data mining and business intelligence

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Preferred Qualifications

  • Bachelor's degree, or CPA
  • Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results
  • 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)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.

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Skills

Financial Modeling
Business Case Development
SQL
Performance Marketing Metrics
Data Mining
Financial Planning
Variance Analysis
KPI Analysis
Budget Reallocation
Reporting Infrastructure
Attribution Modeling
Process Automation

Location

London, England, United Kingdom

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