Jobbeschreibung
Are you customer obsessed, analytical, strategic yet execution focused, hungry and passionate about e-commerce? If yes, this opportunity will appeal to you.
Our Amazon Grocery Logistics (AGL) team provides Amazon Fresh customers with an incredible delivery experience from the moment they click “buy” to the moment their grocery products arrive. AGL has oversight over all our Fresh deliveries across North America, Europe and Japan, working to deliver products faster, more efficiently, and in a way that exceeds customer expectations.
The team is looking for a Business Intelligence Engineer to help organize and extract meaning from large volumes of data to make the right business decisions regarding, growth, new initiatives and improvement projects. As a BIE you will be expected to set the right vision, strategy and roadmap and work alongside with stakeholders in the organization to make it happen. You will work with business intelligence tools, model multidimensional datasets, and partner with operational leaders to answer key operations questions.
Business Intelligence Engineer, AGL Shared Services
Job ID: 2730359 | Amazon EU Sarl
- Work alongside Program Managers to develop solutions that are applicable at global level in the form of automated reports, dashboards or tools.
- Answer operational questions based on the data and models for the weekly/monthly/quarterly business reviews.
- Simplify and reduce the manual work by automating analysis through SQL, Scripts (python or R) and providing outputs to internal customers in friendly formats (e.g Tableau/ QuickSight)
- Define parameters and success criteria for live tests to confirm/deny hypothesis in models.
- Design, implement, and support platforms that provide ad-hoc access to large datasets.
- Work with other support teams (BA, BIE, DS) to scale projects, improve methodologies and use resources efficiently.
- Opportunity to upskill and work in exploratory projects with AWS services.
- Explore opportunities to apply ML techniques to modelling
- Be connected and influential within the Amazon analyst community.
- Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
- Experience with SQL, including class projects, personal projects, research, prior internships, or volunteer work
- Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
PREFERRED QUALIFICATIONS
- Master's degree, or Advanced technical degree
- Experience in the data/BI space
- Knowledge of data modeling and data pipeline design
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)