Business Intelligence Engineer, AWS Infrastructure Services (AIS)

Business Intelligence Engineer, AWS Infrastructure Services (AIS)

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Do you love problem solving? Are you looking for real world Supply Chain challenges? Do you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers and Business Analysts to achieve our goals. The successful candidate will be a self-starter has a combination of superior analytical and technical abilities, business acumen, and written and verbal communication skills. Data-driven decision-making is at the core of Amazon’s culture. The ideal candidate has deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/ R and generating insights that enable senior leaders to make critical business decisions. The ideal candidate has experience providing guidance and support for other engineers with industry best practices and direction. They are comfortable with ambiguity and communicate clearly and effectively to all levels of the company, both in writing and in meetings. They are motivated to achieve results in a fast-paced environment.

Key job responsibilities

1. Understand a broad range of Amazon’s data resources and processes.
2. Interface with Global Stakeholders, Data Engineers, and Business Analysts across time zones to gather requirements by asking right questions, analyzing data, and drawing conclusion by making and validating appropriate assumptions.
3. Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive Analytical solutions.
4. Enhance analytical maturity through predictive and prescriptive analytics using Machine Learning and Optimization techniques.
5. Produce written recommendations and insights for key stakeholders to help shape solution design.
6. Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key supply chain, and procurement decisions.
7. Handle multiple projects at once, deal with ambiguity and rapidly-changing priorities.

Minimum Qualifications

1. Bachelor’s degree in Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science or related field.
2. 6+ years’ hands-on analytics work experience, with proven quantitative orientation.
3. 3+ years’ experience using business intelligence tools like Tableau, QuickSight, PowerBI etc. Hands on experience in Python, SQL, Data Warehouse solutions and databases.
4. Experience building measures and metrics, and developing reporting solutions.
5. Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful BI solutions.

Preferred Qualifications

1. Master’s degree in Data Science, Operations, Statistics from a premium institute, or MBA from premier business schools.
2. 4+ years’ experience in Supply Chain Analytics, Data Science or related specialty.
3. Experience with AWS technologies like Redshift, S3, Lambda, Glue.
4. Experience in statistical computing using Python/ R.

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