Business Analyst, EMEA - Data Centre Delivery

Do you enjoy transforming data into actionable insights and taking data-driven approach to solving complex business problems AWS is looking for a pro-active Business Analyst with strong technical and analytical skills.

You recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area you understand data resources and know how when and which to use (and which not to use). By recognizing and using advanced analytical techniques to solve business problems you develop analyses (whether fully formed or exploratory) for the business sake not for analyses sake. You seek to understand the business objectives relevant to your area and align your work to those objectives and seek to deliver business value.

You will own the design development and maintenance of ongoing metrics reports analyses dashboards etc. within SQL Redshift Quicksights etc. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining data modeling and analytical skills to define and measure critical metrics.

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.


Key job responsibilities
- Design implement and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
- Design develop and maintain scaled automated user-friendly systems reports dashboards etc. that will support our business needs.
- Participate in developing client BIE roadmaps. Interface directly with customers and stakeholders gathering requirements and supporting end-to-end reporting solutions.
- Participate in developing department KPIs and operational metrics to drive improvements in automation and robotics projects
- Develop complex queries for ad-hoc requests and projects as well as ongoing reporting.
- Deep dive into large data sets to answer key business questions using SQL Excel and other data manipulation languages.
- Maintain data integrity perform QA Audits and diligently troubleshoot issues.
- Continually improve ongoing reporting and analysis processes while automating or simplifying self-service support
- Generate daily weekly and monthly data reports for both internal and external business reviews.
- Respond with urgency to high priority requests from senior business leaders.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life 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 in the cloud.


- Experience in Excel (including VBA pivot tables array functions power pivots etc.) and data visualization tools such as Tableau
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience in financial/business analysis

- Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.. Experience with data visualization using Tableau Quicksight or similar tools. Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in the data/BI space. Experience building measures and metrics and developing reporting solutions. Experience programming to extract transform and clean large (multi-TB) data sets. Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.