Business Intelligence and Analytics Engineer

Job description

DESCRIPTION

Amazon Web Services (AWS) is the leading cloud provider, offering virtualized infrastructure, storage, networking, messaging, analytics, and other web computing services to customers all over the world. AWS operates a globally distributed environment at massive levels of scale. Businesses, educational institutions and governments around the world depend on AWS for secure cloud services and solutions.

The Sales Systems and Data Team within AWS ensures that our Field Sales and Commercial Operations teams have the world-class data and analytics tools required to scale with our rapidly expanding business. We are seeking a Business Intelligence and Analytics Engineer to support multiple projects and initiatives as we continue to build new capabilities around business analytics.

This individual will work closely with our Business Technology & Solutions (BTS) group while engaging directly with business leaders, operations leaders, and field users. In addition to having deep technical skills and a passion for learning the latest cutting edge tools, this individual will have demonstrated experience working on cross-functional teams to develop creative data and analytics solutions.

The ideal candidate will have strong analytical skills to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, and abstract up from low-level information to a more general understanding.

Necessary technical skills include a high level of expertise using SQL to access data warehouses like Redshift and the expert-level use of one or more cutting edge analytics tools like Tableau, Alteryx, Data Robot, R, and/or Python.

Desired profile

BASIC QUALIFICATIONS

BA/BS Degree required; advanced degree or certification preferred.

3+ years of hands-on experience with data visualization, data warehouse, data preparation, and analytics tools.

Practical experience with requirements gathering for BI Solutions (end-to-end), over multiple technologies, size, and scale of projects.