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Senior Business Intelligence Engineer

Amazon
London
5 days ago
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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 comfortable with ambiguity, with high attention to detail, and a proven ability to work in a fast-paced and ever-changing environment. Candidates must have excellent analytical capabilities, be comfortable diving deep into data, have strong writing skills, lead executive-level reviews, and communicate clearly and effectively to all levels of the company, both in writing and in meetings.

The ideal candidate will not only raise the bar on retrieving and analyzing data but is a person who wants to be an active participant with a strong curiosity to understand the business end-to-end, proactively dive into issues as they arise, and has a track record of using data to influence decision makers.

Key job responsibilities In this role, you will:
Understand a broad range of Amazon’s data resources and processes.
Manipulate/mine data from database tables using SQL, and from log files by writing scripts (e.g. PERL, Python).
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 BI solutions.
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.
Simplify and automate reporting, metrics and dashboards; build solutions to have maximum scale and self-serviceability by users.
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Handle multiple projects at once, deal with ambiguity and rapidly-changing priorities.

Our environment is fast-paced and requires someone who is a hard-working, and meticulous who gets things done at an effective pace, gets results and is comfortable working with tight deadlines and changing 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, 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.

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.

Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored 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 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.

BASIC QUALIFICATIONS - Bachelor degree in mathematics, statistics, computer science, engineering. 8+ yrs of experience in Analytics/BI, writing and optimizing SQL/ Python with large-scale, complex datasets.

  • 3+ years’ experience using business intelligence tools like QuickSight, Tableau, PowerBI.
  • Strong financial acumen and analytics skills with a high degree of proficiency in data mining.
  • Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadlines.
  • Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.

    PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to senior leadership
  • Master’s degree in Statistics, Operations or Supply Chain.
  • 3+ years’ experience in Operations, Procurement, Supply Chain (Supply Planning, Inventory Management, Optimization, and Logistics), or Supply Chain Analytics.
  • Experience with AWS technologies like Redshift, S3 and Athena.

    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 visithttps://amazon.jobs/content/en/how-we-hire/accommodationsfor more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

    Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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