Senior Financial Analyst, Amazon Leo

Amazon Inc.; Greater London; On-site; GBP 65,000 - 95,000; Full time

Job summary

Amazon UK Services Ltd. is seeking a Senior Financial Analyst to join a fast-paced, startup-like environment for the Ground Floor satellite initiative. You will build and maintain long-range financial models, analyze GTM strategies, and deliver data-driven insights to support strategic decisions.

The role requires an entrepreneurial mindset, strong business modeling skills, and the ability to work with big data and AI tools to drive productivity and accuracy in financial analysis.

Qualifications

• Bachelor's degree required.
• Experience in commercial finance business partnering or FP&A.
• Experience applying KPIs to analyses.
• Experience creating process improvements with automation and analysis.

Responsibilities

• Contribute to long-range financial models to project performance against goals.
• Perform financial analysis of go-to-market strategies including pricing, CAC, and partnerships.
• Build and maintain reusable revenue and cost models across countries and lines.
• Coordinate financial calendar deliverables and build performance metrics for reviews.
• Perform month-end close activities with variance analysis and documentation.
• Deliver projects with limited oversight to improve controllership and scale processes.

Skills

FP&A experience

KPI analysis

Automation & analysis

Data mining

Education

Bachelor's degree

MBA

CPA

Tools

SQL

MS Access

Essbase

Cognos

Oracle

SAP

Lawson

JD Edwards

Job description

Job ID: 10558304 | Amazon UK Services Ltd.

Are you ready to get in on the ground floor of Amazon's long-term initiative to design, launch and maintain a constellation of Low Earth Orbit satellites to provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world? It's Day 1 for Amazon's next billion dollar business and we are looking for an analytically-minded Senior Financial Analyst to work in a start-up environment who is passionate about technology, who thinks/acts globally, who thrives in ambiguous and fast-paced environments, and who has the ability to develop solutions to business questions.

The successful candidate will be entrepreneurial by nature, analytical in approach, have a demonstrated ability to develop financial models that provide intelligence for business decisions and able to leverage their project management skills to support business objectives. This role requires a self-starter with good business modelling skills, a keen attention to detail, ability to work in a fast-paced environment with limited oversight, and a track record of supporting the business with data-driven insights. The candidate must have the aptitude to learn and incorporate new approaches and methodologies (including statistical concepts) while dealing with big data, actively leverage AI tools to enhance productivity and analysis, and be able to help define key business questions and to build data sets that answer those questions.

Key job responsibilities

• Contribute to the development and maintenance of long-range financial models to project and evaluate business performance against key goals and metrics, delivering with limited guidance
• Perform financial analysis of go-to-market strategies — including pricing, customer acquisition, and partnership economics — translating data into clear findings and recommendations
• Build and maintain reusable revenue and cost models, tools, and templates that scale repeatable analysis across countries and business lines
• Coordinate financial calendar deliverables (e.g., OP1/OP2, QBR inputs) and build performance metrics, surfacing key call-outs and drivers for finance and business-partner reviews
• Perform month-end-close activities — variance analysis, accrual creation, and documentation for recurring finance reviews — proactively diving deep to ensure reporting accuracy and resolve data discrepancies
• Independently deliver projects with limited oversight to improve controllership, scale processes, or add value, documenting SOPs to share knowledge across the team

Basic Qualifications

• Bachelor's degree
• Experience in commercial finance business partnering or FP&A
• Experience applying key financial performance indicators (KPIs) to analyses
• Experience in creating process improvements with automation and analysis

Preferred Qualifications

• MBA, 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.