Senior Business Intelligence Engineer, EU Ops Sustainability & Packaging

EU Ops Sustainability & Packaging is looking for a Sr. Business Intelligence Engineer to join our On-The-Road Sustainability team and help attain key sustainability goals using data-backed solutions and tracking impact across the organization. In this role you will work with senior leaders across multiple teams (Worldwide Sustainability, technology teams, senior leaders, operations, business intelligence, etc.) to solve complex data and analytics problems.

In this role you will extract and manipulate data to gather insights and partner with business intelligence teams. You will be responsible for recommending technical concepts to business stakeholders.

Key functions include:
Own the design, development, and maintenance of ongoing and ad-hoc metrics, reports, and analyses, to drive key business decisions
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Define the data elements to enable analytical and reporting capabilities, and work cross-functionally with other research teams when needed
Support reporting for weekly, monthly and quarterly business reviews
Utilize data to support software product decisions for feature development, prioritization, and to identify and address improvement opportunities
Work closely with Data Engineers to build automated processes for large scale data analysis
Manage backlog of analytics requests; prioritizing most important tasks while communicating expectations and timing of deliverables to stakeholders

Key job responsibilities
In this role, you will lead and develop a porfolio of tools and reporting to accomplish business team's goals and charters. You will learn the ins and outs of all facets of Operations Sustainability, and be a trusted partner to teams by sharing data-driven insights and actions based on deep understanding of the business. You will deliver strong results ranging from reporting, automated insight generation, advanced analytics, comprehensive datasets, at standards that raise the bar for the rest of the organization.

A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

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 SQL
- 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

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