Business Intelligence Analyst, Aws Cloud Logistics

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.

This is an exciting opportunity to join a growing team. Do you enjoy solving problems while seeking to invent and simplify? Seeking to be a part of the way sophisticated logistics and fulfillment solutions are managed? This role offers a unique challenge of diving into complex problems and solving the unsolvable to help AWS make impactful decisions. AWS Cloud Logistics is looking for a driven and highly analytical Business Intelligence Analyst.

Key job responsibilities
- Own and drive analytics products to improve AWS Cloud Logistics’ operational oversight - working with worldwide teams on business review metrics.
- Dive deep to create insights on how well AWS is optimizing its supply chain as it relates to freight management, customs brokerage, and more.
- Invent new ways to analyze data to identify the trends and gaps in customer experience related to the service we provide
- Interface with cross-functional teams to build centralized tools that will allow for optimization in day to day operations.
- Partner with Data Engineers and Software Engineers to design products and systems to transform and store billions of data items using wide range of AWS - Data analytics tools.

A day in the life
- Use business analyses to propose innovative and profitable business initiatives to senior management/executives.
- Pull data from established databases (using Excel, SQL and/or other data management systems) as well as less conventional data sources.
- Analyze and synthesize large data streams across multiple inputs.
- Find and create ways to measure the customer experience to drive business outcomes.
- Identify patterns in data and how they relate to the business outcomes

About the team
Diverse Experiences

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
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 & 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.

BASIC QUALIFICATIONS
- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines

PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Job details
- SGP, Singapore
- Support
- Business Intelligence