Seattle, WA, US
6 hours ago
Business Intelligence Engineer, DGL
We are seeking a creative, goal-oriented Business Intelligence Engineer to join our Business Intelligence (BI) & Analytics team. At Devices Global Logistics (DGL), we provide transportation and logistics services that deliver a disruptive value and make it easy for stakeholders to sell our products. We earn the trust of internal and external customers by being experts in our domain, providing the highest quality services at the lowest possible costs and being flexible.

We are looking for a BIE who will enable DGL mission through implementation and support of business intelligence solutions. This role is both strategic and hands-on. It requires an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as strong business acumen and the ability to work with quantitative and business teams. This person will support DGL business by owning complex reporting, automating reporting solutions, data intelligence products, and ultimately provide insights and drivers for decision making.

The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space.

Key job responsibilities
- Work closely with multiple business teams to understand their challenges and provide data/analysis for better decision making. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.

- Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.

- Assist in the development of key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.

- Build self-service reporting platforms, establishing automated processes for large scale data analysis.

- Define and build metrics to uncover new insights and formulate recommendations that improve productivity.

- Manage the local data infra-structure, as well as work with Global teams to assure data is consistent and accurate.

- Simplify and automate reporting solutions.
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