Previous Job
Data Modeling Engineer
Ref No.: 18-00605
Location: Seattle, Washington
Position Type:Contract
Data Reporting Engineer

Project Overview:
One of the things that makes our client amazing is the innovation and infrastructure that powers all of our services. Billions of users use our client products - from Search to YouTube - and all of those things rely on our Data Centers. These aren't like your standard Data Center, either, we are at the very edge of technology, hardware and networking; and every year as our footprint grows, so does the capacity we need to operate. The Supply Chain team ensures we are building, delivering and installing the necessary computing hardware in the right place at the right time to cope with our growth.

You will join a new initiative in Supply Chain to expand the scope of an 'expedited machine delivery program' to address the ever-growing needs of computing capacity across our client. The success of the initiative will have CEO / CFO visibility.

Overall Responsibilities:
  • You will own building the metrics to monitor the health of the program as we expand its scope and improve the operations efficiency through automation.
  • You will partner closely with software engineers, program managers and operators on the program.
Top 3 Daily Responsibilities:
  • Responsible for ensuring the ongoing reporting needs of both internal and external clients
  • Build the underlying data
  • Create visualizations of the metrics data for weekly business review meetings
Additional Responsibilities:
  • Analyze the metrics and provide insights to improve operations efficiency.
Required Skills:
  • Bachelor's Degree in Computer Science or related technical Engineering field
  • 3+ years of experience (preferably in a data analysis role)
  • Expert in SQL
  • Able to create Dashboards
  • Proficient in at least one scripting language (Perl, Python, R, Java, C++, C#, Shell, etc.)
Nice to Have Skills/Not Required:
  • Analytical / Math skills to understand basic supply chain concepts, analyze data and investigate issues.