Job Information
Amazon Sr. Business Intelligence Engineer, GFP Analytics in ELS, United Kingdom
Description
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 high-level 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 business-critical decisions across multiple organizations and geographies.
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. Great candidates will use data and analytic engineering to drive changes across multiple organizations.
This role is located out of Luxembourg.
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 organization's 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.
Basic Qualifications
Experience programming to extract, transform and clean large (multi-TB) 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
Preferred Qualifications
Experience managing, analyzing and communicating results to senior leadership
Experience with operations/supply chain
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Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/content/en/how-we-hire/accommodations.