Sr. Business Intelligence Engineer, GFP Analytics

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Sr. Business Intelligence Engineer, GFP Analytics

Sector: Data Science, Engineering
Role: Professional
Contract Type: Permanent
Hours: Full Time

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.

As a proven senior BI engineer you will:

1. Engineer critical input and output metrics
2. Create performance metrics to measure operational performance, identify root causes and trends, and prescribe action plans for delivery stations around the globe
3. Influence the organization's BI strategy.
4. Mentor and develop others.
5. Work with product, technology, and analytics teams to support the development of tools and dashboards
6. Communicate with and support various internal stakeholders and external audiences
7. Drive best practices in operational excellence, data modelling, and analysis.

1. Experience programming to extract, transform and clean large (multi-TB) data sets
2. Experience with theory and practice of design of experiments and statistical analysis of results
3. Experience with AWS technologies
4. Experience in scripting for automation (e.g. Python) and advanced SQL skills.
5. Experience with theory and practice of information retrieval, data science, machine learning and data mining
6. Experience working directly with business stakeholders to translate between data and business needs
7. Experience with data visualization using Tableau, Quicksight, or similar tools
8. Experience in the data/BI space

1. Experience managing, analyzing and communicating results to senior leadership
2. Experience with operations/supply chain

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.