Have you ever ordered a product on Amazon and wondered how that package got to you so fast Have you ever wondered where it came from and what series of events helped make that delivery possible If so the Global Fleet and Products (GFP) Analytics team is for you!
We work with large amounts of novel data and provide insights that help deliver billions of packages to customers every year. We focus on everything from highlevel to granular insights that drive entitlements (financial time) safety and operational excellence outcomes or strategic support of important initiatives such as the electrification of the Last Mile fleet.
The GFP Analytics (GFPA) team is looking for a customer obsessed Business Intelligence Engineer (BIE) to shape how we use data to develop strategic initiatives in the Last Mile space. As a BIE on the GFPA team you will develop and lead new technical solutions and influence businesscritical decisions across multiple organizations and geographies.
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. Great candidates will use data and analytic engineering to drive changes across multiple organizations.
As a proven senior BI engineer you will:
Engineer critical input and output metrics
Create performance metrics to measure operational performance identify root causes and trends and prescribe action plans for delivery stations around the globe
Influence the organizations BI strategy.
Mentors and develop others.
Work with product technology and analytics teams to support the development of tools and dashboards
Communicate with and support various internal stakeholders and external audiences
Drives best practices in operational excellence data modelling and analysis.
Experience programming to extract transform and clean large (multiTB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval data science machine learning and data mining
Experience working directly with business stakeholders to translate between data and business needs
Experience with data visualization using Tableau Quicksight or similar tools
Experience in the data/BI space
Experience managing analyzing and communicating results to senior leadership
Experience with operations/supply chain
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