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, 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.
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 KPI’s 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.
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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, it’s 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
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll 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, there’s nothing we can’t 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.
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
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