AWS Infrastructure Services owns the design planning delivery and operation of all AWS global infrastructure. In other words were 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 were looking for talented people who want to help.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll 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 youll 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 selfstarter has a combination of superior analytical and technical abilities business acumen and written and verbal communication skills. Datadriven decisionmaking is at the core of Amazons 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 fastpaced environment.
Key job responsibilities
* Understand a broad range of Amazons data resources and processes.
* 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.
* Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive Analytical solutions.
* Enhance analytical maturity through predictive and prescriptive analytics using Machine Learning and Optimization techniques.
* Produce written recommendations and insights for key stakeholders to help shape solution design.
* Design develop and maintain scalable and reliable analytical tools dashboards and metrics that drive key supply chain and procurement decisions.
* Handle multiple projects at once deal with ambiguity and rapidlychanging priorities.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
AWS values curiosity and connection. Our employeeled and companysponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Bachelors degree in Engineering Statistics Computer Science Mathematics Economics Data Science or related field.
6 years handson analytics work experience with proven quantitative orientation.
3 years experience using business intelligence tools like Tableau QuickSight PowerBI etc. Hands on experience in Python SQL Data Warehouse solutions and databases
Experience building measures and metrics and developing reporting solutions
Ability to think big understand business strategy provide consultative business analysis and leverage technical skills to create insightful BI solutions.
Masters degree in Data Science Operations Statistics from a premium institute or MBA from premier business schools.
4 years experience in Supply Chain Analytics Data Science or related specialty.
Experience with AWS technologies like Redshift S3 Lambda Glue.
Experience in statistical computing using Python/ R.
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