Business Intelligence Engineer, AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers, servers, storage, networking, power, and cooling equipment to ensure continual access to innovation for our customers. We work on challenging problems with many variables impacting the supply chain and seek talented individuals to join us.
You'll join a diverse team of software, hardware, network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate across AWS to uphold safety and security standards while providing extensive capacity at minimal cost. Our inclusive culture welcomes bold ideas and empowers you to see them through to completion.
Are you passionate about problem solving? Interested in real-world Supply Chain challenges? Eager to contribute to the future of Cloud Computing in a fast-growing environment?
Amazon Web Services seeks a highly motivated, analytical, and detail-oriented candidate to develop scalable, predictive, and prescriptive analytics solutions supporting AWS Supply Chain and Procurement. You will be part of the Supply Chain Analytics team, working with Global Stakeholders, Data Engineers, and Business Analysts to achieve our goals.
The ideal candidate combines strong analytical and technical skills, business acumen, and excellent communication abilities. Data-driven decision-making is central to Amazon's culture. You should have expertise in requirements gathering, mining large datasets, data visualization, SQL, Python/R, and generating insights for senior leadership. Experience guiding other engineers and working comfortably in ambiguity is essential.
Key job responsibilities
- Understand Amazon's data resources and processes.
- Engage with Global Stakeholders, Data Engineers, and Business Analysts across time zones to gather requirements, analyze data, and draw conclusions.
- Conduct deep dive analyses, formulate conclusions, and recommend actions.
- Enhance analytical maturity through predictive and prescriptive analytics using Machine Learning and Optimization techniques.
- Produce recommendations and insights to inform solution design.
- Design, develop, and maintain analytical tools, dashboards, and metrics for supply chain and procurement decisions.
- Manage multiple projects, adapt to ambiguity, and prioritize effectively.
About the team
We value diverse experiences. Even if you do not meet all preferred qualifications, we encourage you to apply. Whether you are just starting your career or have alternative experiences, your application is welcome.
Why AWS
AWS is the world's most comprehensive cloud platform, pioneering cloud computing and continuously innovating. Our products power startups and Global 500 companies alike.
Work/Life Balance
We prioritize work-life harmony and offer flexibility to support your success at work and at home.
Inclusive Team Culture
We promote curiosity and connection through affinity groups and inclusion events, fostering stronger, collaborative teams. Our innovation is driven by diverse perspectives and bold ideas.
Mentorship and Career Growth
We support ongoing professional development through knowledge sharing, mentorship, and career resources to help you grow into a well-rounded professional.
Minimum Qualifications
- Bachelor's degree in Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science, or related field.
- 6+ years of hands-on analytics experience with proven quantitative skills.
- 3+ years using BI tools like Tableau, QuickSight, PowerBI; experience with Python, SQL, Data Warehouses, and databases.
- Experience developing metrics, reporting solutions, and data visualization.
- Ability to think strategically, analyze business needs, and create insightful BI solutions.
Preferred Qualifications
- Master's degree in Data Science, Operations, Statistics, or an MBA from a top institution.
- 4+ years in Supply Chain Analytics, Data Science, or related fields.
- Experience with AWS technologies such as Redshift, S3, Lambda, Glue.
- Proficiency in Python/R for statistical computing.
We are committed to an inclusive culture. If you need accommodations during the application or onboarding process, please visit this link for more information.