Fleet Process Excellence Insights Manager (Fixed-term Contract), Global Fleet and Products
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Before you apply
LocationLondon, England, GBR
Typefull-time
SeniorityMid
DepartmentCorporate Operations
Company size10,000+ people
PostedNov 2, 2026 · 1d ago
Verified live13h ago
At a glanceSummarised by Seekless from the posting.
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)
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
Equal opportunities employer and diverse workforce
Do not discriminate on the basis of protected veteran status, disability, or other legally protected status
Skills
Python
SQL
Excel
Tableau
QuickSight
MicroStrategy
PowerBI
Redshift
Snowflake
BigQuery
About the role
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 a 12 months Fixed-term contract.
Responsibilities
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
Legal
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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