At Amazon were working to be the most customer-centric company on earth. One customer experience that were 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. Come join the team and help us work hard have fun and make history!
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 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 youll need to be a diligent time/project manager strong communicator and problem solver extraordinaire. Youll work on large complex initiatives with a high degree of ambiguity and youll also advocate on behalf of customers. Candidates will use data and analytic engineering to drive changes across multiple organizations.
Key job 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
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