Sr Fleet Insights Manager, Fleet Operations, EU Fleet Operations

Amazon; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading global e-commerce company in London is seeking a Sr. Fleet Insights Manager to innovate and support the Fleet Operations team with data-driven insights. The ideal candidate will develop analytics solutions, maintain dashboards, and collaborate with global teams. Proficiency in AWS tools and strong communication skills are essential for success in this role.

Qualifications

• Experience with data engineering and analytics.
• Proficiency in building dashboards and data pipelines.
• Ability to manage complex datasets and ETL processes.

Responsibilities

• Develop and maintain performance dashboards.
• Onboard and automate data pipelines using AWS tools.
• Partner with teams to improve reporting and analysis.

Skills

Strong communication

Problem-solving

Data analysis

Project management

AWS tools proficiency

Tools

AWS (EC2, S3, Redshift)

Tableau

Python

Job description

Overview

At Amazon, we're working to be the most customer-centric company on earth. One customer experience that we’re constantly taking to new levels is how we fulfill and deliver customers’ orders. Our goal is to delight our customers by delivering their packages quickly and accurately, anywhere in the world. To meet this goal, Amazon is continually striving to innovate and provide best-in-class service levels by pioneering new products and services in the last mile delivery space. The EU Fleet Operations team operates in the various European countries to optimize the branded fleet availability, by partnering with multiple internal stakeholders across the Amazon Last Mile organization as well as with our external partners such as Delivery Service Providers (DSP), Fleet Management Companies (FMC) and Original Equipment Manufacturers (OEM). We work with large amounts of novel data and provide insights that help deliver billions of packages to customers every year.

We are looking for a Sr. Fleet Insights Manager who is ready to roll up their sleeves and help us develop actionable, data-driven insights to support the Fleet Operations team automation and operational excellence projects / data asset development. In this role you will develop and lead new analytics solutions (dashboards, metrics, analytics) that supports critical process improvement automation.

To be successful in this role, you\'ll need to be a diligent time/project manager, strong communicator, and problem solver extraordinaire. You\'ll work on large, complex initiatives with a high degree of ambiguity, and you\'ll also advocate on behalf of customers. Candidates will use data and analytic engineering to drive changes across multiple organizations.

Key responsibilities

• Developing and maintaining performance dashboards with key metrics for review with senior leadership and business teams; synthesizing large quantities of data to help create new, step-change initiatives for the organization.
• Onboarding data from our WW data warehouse to build automated data pipelines utilizing eg Python in Lambda or Sagemaker to invoke API calls.
• Using statistical techniques and tools for strategic deep dives; generating actionable insights and effectively communicating recommendations to senior leadership.
• Inventing new ways to analyze data to identify the trends and gaps in the experience and services we provide to our delivery service partners.
• Partnering with other data engineers and analysts to build and automate central tools that will improve and streamline the quality of reporting and analysis in the organization.
• Lead cross organizational/regional projects on automation, data and reporting improvement.
• Partner with our global teams, align on reporting needs, setup, maintain and own data pipelines.
• Learn, explore, apply, and gain expertise in many internal Amazon data and public AWS products including Glue, Redshift, Quicksight, and Lambda.
• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Project Management- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Experience with AWS solutions such as EC2, S3, and Redshift
• Experience using and scripting experience (Python) to process data for modeling

Qualifications

• Strong communication and problem-solving skills; ability to manage time and projects effectively.
• Experience with data engineering, analytics, and building dashboards and pipelines.
• Proficiency with AWS tools (e.g., EC2, S3, Redshift) and data visualization tools (e.g., Tableau, QuickSight).
• Experience with SQL, ETL, data warehousing, and working with large, complex datasets.

Equal Opportunity and accommodations

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 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 the accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.