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Business intelligence engineer, amazon last mile

London
Amazon
Engineer
€100,000 - €125,000 a year
Posted: 6 June
Offer description

Business Intelligence Engineer, Amazon Last Mile

Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms, and tools that make the “magic” of home delivery happen: our flow, sort, dispatch, and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe, efficient, and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives.

As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses, plans, and recommendations to senior leadership and connect new ideas to drive change. Analytical ingenuity, leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast-paced environment are critical skills for this role.


Responsibilities:

1. Create actionable business insights through analytical and statistical rigor to answer business questions, drive decisions, and develop recommendations to improve operations.
2. Collaborate with Product Managers, software engineering, data science, and data engineering teams to design and develop analytic capabilities.
3. Define and govern key business metrics, build automated dashboards, and analytic self-service capabilities, and engineer data-driven processes that drive business value.
4. Navigate ambiguity to develop analytic solutions and mentor junior team members.


Minimum Qualifications:

* 2+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
* Experience with data visualization tools such as Tableau, Quicksight, or similar.
* Experience with industry analytics visualization tools (Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (t-test, Chi-squared).
* Proficiency in scripting languages like Python, Java, or R.
* Master's degree or advanced technical degree.
* Knowledge of data modeling and data pipeline design.
* Experience with statistical analysis and correlation analysis.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need workplace accommodations during the application and hiring process, please visit this link. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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