The Opportunity

We're looking for a Modeling and Performance Analyst, working in the IT (excluding Telecommunication) industry in Washington, D.C, United States.

  • Apply technical and analytic expertise to provide quantitative and qualitative engineering analysis for a complex system of systems including forensic analysis related to existing systems and predictive analysis in support of future systems.
  • Analyze and implement custom algorithms for complex data sets used for modeling, data mining and statistical analysis.
  • Perform predictive analysis to determine future data trends and assess potential chokepoints and system performance issues while evaluating key performance indicators.
  • Conduct IT system performance analysis trades to determine and assess system processing, end-to-end timeline, and storage requirements
  • Work closely with teammates to conduct multi-faceted performance analysis.

We are offering Competitive Compensation and Benefits.

Our Client

Our client is a people driven staffing company.  Growing fast - 33% annually! 

How?  Building trusting relationships with top candidates. Like you!  You’ll get one-on-one time focused on your skills, needs, and discovering opportunities in which you’ll thrive.  The goal is to place you in the right position for you and your goals. 

Where?  Top IT and telecommunications companies.  You’ll make a difference and grow in Technology, Government Services, Professional Services, or Engineering.

Helping you achieve your goals!  It’s the right way and the only way to succeed in staffing.

Experience Required for Your Success
  • BS degree in Engineering, Mathematics, Computer Science, Information Systems or equivalent with 9-12 years of experience, or MS degree in Engineering, Mathematics, Computer Science, Information Systems or equivalent with 7-9 years of experience
  • Experience with Data Mining, Analysis, and Reporting using several methods and tools
  • Experience with SQL and MS Office
  • Experience with Perl, R, VB/VB Scripting
  • Experience with MS Excel and/or R & use of pivot tables for “large” data analytics
What Do You Think?

Does your experience reflect what it takes to be successful in this role? Do the work and challenges get you excited about what's possible? Apply here.

Not exactly? Join Our Talent Community, and we'll let you know of additional opportunities.


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