Business Intelligence Engineer - Capacity Delivery Reliability

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.

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 entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights, mining large and diverse data sets from across AWS Infrastructure, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions. Hence, 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 also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.

The successful candidate will be an expert in data analytics (data engineering and visualizations), and have exemplary verbal and written communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will have to work closely with business partners to answer key business questions through the analytics their team creates. This role requires an individual with excellent analytical abilities, deep knowledge of tools and platforms (like SQL, Tableau, Redshift, Glue, Airflow) for developing business intelligence solutions as well as ability to communicate clearly, and collaborate with both business owners and other analytics teams.

Key job responsibilities
- Lead the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
- Work directly with customers to understand the business problems at hand and propose impactful analyses and solutions.
- Partner with data engineers to develop automated solutions.
- Develop a deep understanding of our vast data sources and identify which to use to solve specific business problems.
- Manage prioritization of business intelligence requests, allocate work across the team, and be responsible for communications with our customers.
- Lead the creation of user-friendly repeatable reporting solutions to minimize ad hoc customer requests.
- Serve as a senior SME and lead for SQL and visualization tools (e.g., Tableau).
- Write high quality SQL to retrieve and analyze data from relational databases (e.g., AWS Redshift).
- Manage and improve our internal customer communication channels (e.g., wikis, data dictionaries).

Basic Qualifications

- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
- 5+ years of processing large, multi-dimensional datasets from multiple sources experience
- 5+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Experience with operations/supply chain

Preferred Qualifications

- Master's degree in statistics, data science, or an equivalent quantitative field

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

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.