Amazon
Sr. Manager, FM Analytics, Long Term Planning

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you.
Key job responsibilities
You will be responsible for driving all aspects of the First Mile analytics roadmap — the leg that moves inventory from our fulfillment and sort centers into the transportation network. This spans first-mile topology and connectivity, inbound-to-outbound flow design, FC-to-middle-mile injection, truck building and linehaul optimization out of our sites. The objective is to design the First Mile setup that lets us offer faster speed (including Same Day on a subset of the selection) at cost-parity with the rest of Store on a 3Y horizon. This is a role for an exceptionally talented person, with high energy and courage, passionate about delivering concrete improvement for our customers, and who wants to achieve that using data.
The role includes 40% of stakeholder/project management and 60% analytical activities.
Innovation & Stakeholder/Project management
- Leverage planning and analytics tools developed by Science teams to assess the optimal First Mile topology, connectivity and flows
- Use and share your insights with partner teams to influence strategic decisions (e.g. site connectivity, injection points, first-mile transportation design)
- For the most complex and ambitious opportunities, quickly launch new pilots, and build scale-up business cases with benefits, bottlenecks, risks and resources required
- For the algorithmic opportunities, work with teams of software developers and research scientists to design the next round of software innovation
- Lead regular business reviews with partner teams to monitor the progress of projects in the roadmap. Help remove bottlenecks
- Consolidate progress into crisp and concise data-driven status updates. You will own reporting to Amazon senior leadership (VP-level).
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Data Analytics/Science
- Deep dive complex data to uncover actionable insights for known and unknown problems
- Good expertise with financial modelling (P&L, cashflow, mix/rate)
- Candidates must be able to think and operate at all levels (both strategically and tactically).
About the team
Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe. Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions. We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms. Fulfillment acceleration is one of those Global transportation analytical team. We are obsessed by rethinking our advanced end-to-end supply chain to make our deliveries even faster. Our overall mission is simple: we want Amazon to be the place where our customers can be delivered the next-day.
Basic Qualifications:
- Bachelor's degree in Business, Logistics, Business Engineering, Supply Chain, or a related field
- Experience leading and interacting with cross-functional teams
- Experience in tax, finance or a related analytical field
- Experience identifying and solving complex problems through data analysis
- Experience engaging, verbally and in writing, with internal and external stakeholders to convey complex ideas in a clear, concise manner
- Knowledge of database systems and SQL
- Ability to lead and structure projects, in particular liaising and collaborating with internal partners to influence direction and roadmaps, despite competing priorities


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred Qualifications:
- Experience applying strong numerical and analytical abilities to develop product/program strategies and evaluate complex processes and financial scenarios
- Experience in Redshift, or experience in SQL Server/MySQL
- Experience working with fast-moving, high-performance teams and driving innovative solutions tailored to unique business environments
- Ability to progress autonomously in ambiguous environment
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location