Senior BIE, Everyday Essentials Science, Everyday Essentials Science

Are you excited about leveraging data to influence strategic decision-making at the highest corporate levels Amazons Everyday Essentials (EE) business is experiencing significant growth and momentum across worldwide stores making it a crucial priority in our mission to serve customers daily needs. Were seeking individuals ready to thrive in our fast-paced dynamic environment.

The Everyday Essentials Science team is transforming retail through Generative AI advanced Machine Learning and Economic Science to enhance the EE shopping experience. Our AI strategy integrates established ML capabilities with forward-looking GenAI models reshaping how customers interact with purchase and replenish their essential products.

In this role youll collaborate across a diverse spectrum of teams - from senior leadership to product managers marketing finance operations and fellow data scientists. Your primary focus will be uncovering quantitative insights about EE product relationships and identifying growth opportunities. Key responsibilities include developing and maintaining analytical insights creating dynamic dashboards establishing new business metrics and conducting both tactical and strategic analyses. Your experience in handling large datasets through business intelligence tools will be essential as will your ability to translate complex findings into actionable recommendations for senior leadership.

Were looking for candidates who have demonstrated success in owning and delivering projects from start to finish in fast-paced environments. You should be comfortable navigating ambiguity and tackling complex challenges head-on. We value continuous learning and adaptation - youll need to stay current with new systems tools and industry best practices while helping design solutions that automate and accelerate our analytical capabilities. Your work will directly contribute to shaping the future of how millions of customers shop for everyday essentials.


Key job responsibilities
As a business intelligence engineer you will/may:
* Be highly data driven resourceful customer-obsessed and team oriented
* Use latest AWS provided data analytics and GenAI tools (such as Quicksight Amazon Q Sagemaker)
* Own the development and maintenance of ongoing metrics reports analyses dashboards on the key drivers of our business
* Partner with business teams to consult develop and implement KPIs automated reporting solutions and infrastructure improvements to meet business needs
* Define data driven approaches and metrics strategy to uncover new insights
* Have a passion for sourcing manipulating and visualizing data to tell business stories
* Good verbal/written communication and presentation skills including an ability to effectively communicate with both business and technical teams.
* Work with engineering and data teams to support the development of tools and dashboards


- 5 years of SQL experience
- 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 managing analyzing and communicating results to senior leadership
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Bachelors Degree OR Equivalent

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