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Data Management Analyst

Job in Champaign, Champaign County, Illinois, 61825, USA
Listing for: UNCOMN
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Warehousing
Salary/Wage Range or Industry Benchmark: 90000 - 135000 USD Yearly USD 90000.00 135000.00 YEAR
Job Description & How to Apply Below

An Uncommon Genius Leading Innovation means believing in the power of business to make the world a better place through everyday business relationships and interactions. If you join our team, our commitment to you is to find a role that accentuates your strengths and helps you exercise your own brand of “Uncommon Genius” to reach your career aspirations. We’ll invest in you because — as a consultancy — our people are our brand and great companies invest in their brands.

Learn

Together

Our Communities of Practice (COPs) offer a dynamic platform for team members to enhance their professional skills and pursue personal growth in their desired areas. These communities facilitate the development of professional skills, foster the sharing of information and expertise, and encourage the incubation of innovative ideas. Additionally, they provide a space for collaboration with seasoned professionals. Participants are assigned their COP, and we supply the necessary framework and a collaborative environment for their development.

This approach not only supports individual growth, but also strengthens our collective expertise.

Position:Data Management Analyst

Location: Scott AFB, IL

Remote Status: On-Site

Job :662

# of Openings:1

At UN COMN , we don’t just fix issues; we deliver secure solutions that power essential operations in both the public and private sectors. Our team tackles tough challenges—whether it’s improving organizational systems, streamlining logistics, or making sense of complex data—all with one goal: helping our clients succeed so they can continue serving others.

We’ve built a culture rooted in our Core Values , where innovation thrives, work-life balance is respected, and career growth is always encouraged. We're also proud to be recognized as a ‘
Top Workplace
,’ and that’s not just us talking; it’s our employees. Now, we’re looking for another Uncommon Genius to join our dynamic team. If you love solving puzzles, building new things, fixing what’s broken, or pushing the boundaries of creativity, we encourage you to explore the details of this position below!

UN COMN is seeking a Data Management Analyst to:

  • Maintain enterprise data inventories, metadata, lineage, and governance documentation.
  • Assess data sources, monitor data quality and operational performance, and identify opportunities for improvement.
  • Develop dashboards, reports, and visualizations that support operational awareness and decision-making.
  • Gather stakeholder requirements and translate business needs into reporting and data management solutions.
  • Evaluate visualization usability, accessibility, and enterprise reporting standards.
  • Collaborate with engineers, analysts, cybersecurity personnel, and stakeholders to improve enterprise data quality and reporting capabilities.

This position description outlines the core duties for this role, but it is not all-inclusive. Responsibilities may shift based on contract requirements, mission needs, or organizational objectives.

Requirements

  • Must be eligible to obtain a Secret clearance, granted by the US Government, which requires US citizenship. The government also uses 13 adjudicative guidelines to determine an individual's eligibility.
  • 5+ years of experience in data analysis, data management, business intelligence, enterprise reporting, or information management.
  • Experience supporting data governance, metadata management, data quality, and enterprise reporting initiatives.
  • Experience gathering stakeholder requirements and translating them into actionable reporting or analytical solutions.
  • Experience with modern analytics and visualization technologies such as SQL, Python, Power BI, Tableau, Qlik, Databricks, Palantir, Advana, or similar enterprise platforms.
  • Strong written, verbal,…
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