Business Intelligence Engineer - AWS, AWS DC Construction
# Business Intelligence Engineer - AWS, AWS DC Construction **Amazon Data Services, Inc.** · Seattle, Washington, USA · `On-site` · `full-time` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Amazon* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Business Intelligence]` `[Business Intel Engineer]` --- ### About the Role Help Us Build the Data Centers That Power the Cloud. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We're the people who build the data centers and keep the cloud running. Every AWS data center, and every server, storage system, network, power, and cooling unit inside it, starts with our work, so customers can count on the innovations they rely on, every second of every day. We tackle some of the toughest problems in the industry, with thousands of variables shaping the supply chain, and we want talented people who are excited to solve them with us You’ll join a diverse team of technical program managers, design engineers, construction managers, 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. Data-driven decision-making is at the core of Amazon's culture, and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the ML Capacity Delivery organization and our customers. You will gather customer needs and insights, mine large and diverse data sets from across AWS Infrastructure, build visualizations and tools for our business partners, and generate insights to help senior leaders make critical business decisions. The successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but will also interact directly with business leaders and teams that rely on the metrics and analyses they produce. The ideal candidate must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon — this role is for you! Key job responsibilities Set the baseline. Partner with business customers and leadership to define, track, and report KPIs against annual, quarterly, and monthly goals. Turn needs into solutions. Gather requirements and deliver complete reporting solutions. Build at scale. Design, develop, and maintain automated, user-friendly reports and dashboards that support procurement planning and decision-making. Move the data. Build and optimize ETL pipelines that pull data from diverse sources using SQL, Python, and AWS big data technologies. Tell the story. Publish and maintain QuickSight dashboards, reports, and executive review documents that reveal trends, patterns, and outliers. Spot what others miss. Uncover patterns in the data and connect them to business outcomes. Measure what matters. Invent new ways to define and measure program effectiveness and organizational productivity. Bridge business and tech. Act as the link between business and technical teams, delivering actionable insights and ad hoc analyses that fuel future improvements. Protect data quality. Run regular audits to keep reporting complete and accurate, and automate manual reporting wherever you can. Think ahead. Grow the team's analytical maturity through predictive and prescriptive analytics. About the team *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. *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. *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. *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 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. - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 1+ years of SQL, ETL or Oracle experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 1+ years of developing automated reporting experience - 3+ years of in the job offered or a related occupation experience - 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field - 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
- Business Intelligence
- Business Intel Engineer
Наблюдалась 2026-10-15, впервые 2026-10-15, источник — Amazon.