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Data Analyst

CGI

$62,900 - $153,300
Dec 20, 2025
Arlington County, VA, US
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The business problem this job is looking to solve is to support the client's mission and goals of growing an enterprise analytics platform.

Requirements

  • 2+ Years of Experience working on Analytics and Business Intelligence focused initiatives, preferably in a consulting capacity.
  • 1+ Years of Experience using Python, R, or other languages to build statistical models or analyze data.
  • 2+ Years of Experience in creating complex SQL queries and functions, data structures and strong analytical problem-solving skills.
  • 2+ Years Experience working with various self-service business intelligence and data visualization tools such as Tableau, Power BI, etc.
  • Experience building data pipelines in Databricks and/or Synapse.
  • Experience applying AI models to refined datasets.
  • Experience working in an Agile based environment.

Responsibilities

  • Demonstrate in-depth technical capabilities with the ability to support multiple work streams and drive assimilation of new techniques and solutions.
  • Apply data and technical expertise in analysis, data mining and visualization of data using Business Intelligence tools and data development platforms.
  • Evaluate data quality using SQL and data analysis techniques that improve client-reporting capabilities.
  • Follow technology trends in data science and inform clients how this technology will benefit the future development platform.
  • Participate in team problem solving efforts and offer ideas to solve client issues.
  • Understand data needs and construct data pipelines for automating and accelerating data preparation.

Other

  • An interim Secret clearance is required to begin working onsite with our client in Arlington, VA, and a Secret clearance must be maintained throughout the project duration.
  • Bachelor's degree or master's degree in Computer Science, Mathematics or STEM related discipline.
  • Strong technical and troubleshooting techniques along with the ability to translate findings to stakeholders and non-technical audiences.
  • Competitive compensation
  • Comprehensive insurance options