At a Glance
- Tasks: Use data to optimise fleet costs and drive savings across Europe.
- Company: Join Amazon's innovative Fleet Process Excellence team.
- Benefits: Gain valuable experience in a dynamic, global environment with career growth.
- Other info: 12-month fixed-term contract with opportunities for learning and development.
- Why this job: Make a real impact by turning data into actionable insights.
- Qualifications: Experience in data analysis, scripting, and visualisation tools required.
The predicted salary is between 63000 - 77000 £ per year.
Have you ever wondered what it takes to keep tens of thousands of delivery vans moving across Europe, every single day? Behind every Amazon delivery is a fleet of vehicles that needs to be sourced, maintained, and optimised across nine countries. If solving that puzzle with data sounds exciting, this role is for you. The Fleet Process Excellence (FPE) team sits within EU Fleet Operations and is focused on one thing: making our branded delivery fleet more cost-efficient. We work across multiple European countries, partnering with Delivery Service Providers (DSPs), Fleet Management Companies (FMCs), and internal teams across Last Mile operations. We're looking for an Insights Manager to own how we use data to find and drive fleet cost savings. You'll build the pipelines, dashboards, and analyses that help leadership understand where the money goes and where the opportunities are. Think of it as being the team's data engine: you surface the insights, quantify the impact, and help turn numbers into action. To be successful in this role, you'll need to be comfortable working independently, communicating clearly with both technical and non-technical audiences, and solving problems where the path isn't always obvious. You don't need to know everything on day one, but you do need curiosity, initiative, and a bias for getting things done. Please note that this is a 12 months Fixed-term contract.
Key job responsibilities
- Build and maintain automated data pipelines that provide a single source of truth for fleet cost performance (cost-per-package, vehicle off-road rates, cost-by-station)
- Create dashboards and visualisations that surface cost trends, anomalies, and optimisation opportunities for Directors and senior leadership
- Proactively identify savings levers using data analysis, quantify the impact, and present clear recommendations
- Work with Finance, Regional Fleet Managers, and Operations leaders to align on cost data and support business cases
- Develop and own the data models and warehouse structures that underpin fleet cost reporting
- Drive automation that reduces manual effort and improves data quality across the team
- Communicate the 'so what' behind the numbers, not just the numbers themselves
Basic Qualifications:
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in design and execution of analytics projects
- Experience interpreting data and making business recommendations
- Experience analysing and interpreting large-scale datasets using SQL and a cloud data warehouse (Redshift, Snowflake, BigQuery, or similar)
Preferred Qualifications:
- Experience with financial or business analysis
- Experience with database, data warehouse or data lake solutions
- Experience working within a global company, with multi-country responsibilities
- Experience in fleet management, logistics, transportation, or last mile operations
- Track record of building reporting or data products from scratch
Fleet Process Excellence Insights Manager (Fixed-term Contract), Global Fleetand Products in London employer: Amazon
Amazon is an exceptional employer, offering a dynamic internship experience in the vibrant region of Yorkshire and the Humber. With a strong focus on employee growth, interns benefit from hands-on project delivery, collaboration with industry experts, and a clear pathway to graduate opportunities, all within a supportive work culture that values innovation and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Fleet Process Excellence Insights Manager (Fixed-term Contract), Global Fleetand Products in London
✨Tap into Online Data Science Communities
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Fleet Process Excellence Insights Manager (Fixed-term Contract), Global Fleetand Products in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Amazon, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Amazon, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Amazon’s attention and show the tangible impact of your work.
How to prepare for a job interview at Amazon
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Amazon.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Amazon.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Amazon.
