Business Analyst, WW Solutions Architecture Operations

Job description

DESCRIPTION

Are you excited about the cloud computing industry and leveraging cutting edge data analytics technologies and methodologies? Are you interested in driving business decisions through data analysis, reporting, and KPIs? Do you want to work on a team of Business Analysts and Software Developers to solve AWS's most complex business problems through data?
The AWS Solutions Architecture (SA) Program Management Office is looking for a passionate, results-oriented Business Analyst to own defining, building, and scaling metrics and analytical insights that will measure the success and drive the day-to-day behavior for the worldwide AWS SA function. In this role, you will work closely with members of the SA PMO team to ensure we are capturing and surfacing the best data and information to make optimal business decisions. As a Business Analyst on the SA PMO team, you'll collaborate with engineers to build self-service reports and establish automated processes for large scale data analyses. Successful candidates will be analytical with business acumen, and detail driven with excellent problem solving skills.
The ideal candidate will have a rock-solid background in data analysis, including experience extracting and manipulating data using SQL, leveraging advanced Excel features for data analysis, and producing digestible business intelligence and actionable information. The candidate should also have strong communication and project management skills, enabling them to work with key business stakeholders to understand requirements and shape analytical deliverables. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to work cross-organizationally. A keen sense of ownership, drive, and scrappiness is a must.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics, Finance, or related field
· 3+ years of industry experience in data analysis. Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions and develop business cases
· Experience in SQL and manipulating large data sets in a database
· Advanced proficiency in Excel, including VBA, Pivot Tables, array functions, Power Pivots, etc.
· Experience with scripting languages such as Python or Perl