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Utilization Analyst Jobs in Washington, DC (NOW HIRING)

Senior Data Analyst

Arlington, VA · On-site +1

$98K - $124K/yr

Support development of budget, workload, resource allocation, and utilization analyses for leadership. Qualifications: * Minimum 8 years of progressive data analytics experience. * Bachelor's Degree ...

Senior Data Analyst

Arlington, VA · On-site

$98K - $124K/yr

Support development of budget, workload, resource allocation, and utilization analyses for leadership. Qualifications: * Minimum 8 years of progressive data analytics experience. * Bachelor\'s Degree ...

Senior Data Analyst

Arlington, VA · Remote

$88K - $111K/yr

Support development of budget, workload, resource allocation, and utilization analyses for leadership. Qualifications: * Minimum 8 years of progressive data analytics experience. * Bachelor's Degree ...

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Showing results 1-20

Utilization Analyst information

See Washington, DC salary details

$35.1K

$83K

$147.2K

How much do utilization analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for utilization analyst in Washington, DC is $82,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What jobs make $3,000 a day?

High-paying roles such as senior investment bankers, specialized surgeons, and certain executive consultants can earn $3,000 or more per day. These positions typically require advanced skills, extensive experience, and often involve high-stakes environments or specialized certifications.

What jobs will boom in 2026?

Utilization Analysts are expected to see increased demand as companies focus on optimizing resource use and operational efficiency, especially in industries like healthcare, manufacturing, and logistics. Skills in data analysis, proficiency with tools like Excel or specialized software, and certifications in process improvement can enhance job prospects in this growing field.

What is the difference between Utilization Analyst vs Data Analyst?

AspectUtilization AnalystData Analyst
Required CredentialsBachelor's in healthcare, business, or related field; certifications like CPC or HCISPPBachelor's in statistics, computer science, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentHealthcare facilities, insurance companies, or healthcare consulting firmsVarious industries including finance, marketing, healthcare, and technology
Employer & Industry UsageUsed primarily in healthcare and insurance sectors to optimize resource utilizationUsed across multiple industries to analyze data trends and support decision-making

While both roles involve analyzing data, a Utilization Analyst focuses on healthcare resource management and efficiency, whereas a Data Analyst has a broader scope across industries, analyzing diverse data sets to inform strategic decisions.

What jobs pay 4000 a week without a degree?

Utilization Analysts typically require a bachelor's degree, but high-paying roles that can reach $4,000 weekly without a degree include sales managers, real estate brokers, and certain skilled trades like electricians or commercial drivers. These jobs often rely on experience, certifications, or licensing rather than formal education and may involve commission, bonuses, or overtime to reach that income level.

What does a utilization analyst do?

A utilization analyst monitors and analyzes the use of resources, such as staff or equipment, to ensure efficiency and cost-effectiveness. They often use data analysis tools and reports to identify underutilized assets and optimize resource allocation within organizations.
Infographic showing various Utilization Analyst job openings in Washington, DC as of July 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $82,975 per year, or $39.9 per hour.

AI Process Integration Engineer, Senior (TS/SCI w/ Polygraph)

Praescient Analytics

Mclean, VA • On-site

$105K - $136K/yr

Full-time

Re-posted 24 days ago


Job description

Job Summary:
Praescient Analytics is seeking a talented and driven AI Process Integration Engineer to support a critical national security mission with the National Counter Terrorism Center (NCTC). The role involves bridging the gap between approved AI/ML tools and their operational use, maximizing the mission value of existing software, and driving rapid analyst adoption.
Responsibilities:
• Optimize Existing Tools: Evaluate approved AI/ML tools on the customer network to bridge configuration gaps and maximize underutilized capabilities.
• Mission Customization: Configure approved tools into existing workflows for specific analyst tasks (e.g., entity triage, pattern correlation, RFI processing) without triggering new review board actions.
• Process Redesign: Map current analytic workflows to eliminate manual bottlenecks, designing future-state processes that embed AI at high-friction points.
• Standard Operating Procedures: Maintain before/after process documentation, SOPs, and metrics tied directly to mission outcomes.
• Prompt Engineering: Build mission-specific prompt libraries, template guides, and a Document Support Playbook Suite (draft assist, tradecraft review, classification checks) to make AI tools instantly usable for non-technical analysts.
• Drive Adoption: Work alongside analysts, targeters, and mission leads to deliver hands-on demonstrations, training materials, and embedded transition support.
• Performance Metrics: Establish KPIs tracking AI utilization, analyst productivity, and cycle-time reductions to provide leadership with data-driven evidence for scaling tools.
• Operational Liaison: Serve as the functional bridge between technical AI/ML engineers, the analytic workforce, and program leadership.
Qualifications:
Required:
• Active TS/SCI with CI Polygraph (Required)
• 10+ years in AI/ML tool deployment, systems integration, or process engineering—including 5+ years supporting the IC, DoD, or Federal law enforcement.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• Hands-on experience with AI/ML tool configuration, prompt engineering, workflow modeling (BPMN), and data pipelines within multi-classification networks.
• Practical knowledge of Lean Six Sigma, Agile, or continuous improvement frameworks applied to intelligence environments.
• Strong analytical thinking with the ability to translate complex AI capabilities into practical mission value for non-technical users.
Company:
Software and Technology Integrator Founded in 2011, the company is headquartered in Alexandria, USA, with a team of 51-200 employees. The company is currently Growth Stage.