Job Information
Amazon Business Intelligence Engineer, AWS Cloud Logistics in Cincinnati, Kentucky
Description
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.
We are looking for a talented Business Intelligence Engineer to join AWS Cloud Logistics. . This role requires someone with strong analytic skills and business acumen who will work with stakeholders on strategic projects within Reverse Logistics. Examples of project work may include support of long-term Reverse Logistics site strategy; supporting operational planning, forecasting, and general project evaluation for Reverse Logistics network cost, quality, scale, flexibility and business continuity as well as interfacing with external partners on planning allocations.
The ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. Technical ability to support dashboard creation supporting daily operations, track KPIs, and provide holistic performance measurements to be shared with internal and external stakeholders is desired. The role plays a critical part in ensuring strategic commitments are made and operations are exceeding desired performance levels by using metrics to drive accountability and process improvements.
Key job responsibilities
Build data pipelines, reports, dashboards, and analyses to deliver metrics and insights to the business.
Translate difficult business problem statements into analysis requirements and maintain high bar throughout the execution.
Define analytical approach; review and vet analytical approach with stakeholders.
Proactively and independently work with stakeholders to construct use cases and associated standardized outputs.
Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis.
Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines that impact the business.
About the team
AWS Cloud Logistics manages a continuously evolving portfolio of shipments through a worldwide supply chain. We deliver the right product at the right time, cost, & place ensuring our AWS Supply Chain is reliable.
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.
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.
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.
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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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
4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience in Statistical Analysis packages such as R, SAS and Matlab
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.