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Optimization Analyst Jobs in Nevada (NOW HIRING)

Terribles

Financial Analyst

Las Vegas, NV · On-site

$65 - $90/hr

... optimization, data storytelling, and executive reportingExcellent communication skills with ability to present financial insights to non-finance stakeholdersHigh attention to detail and strong ...

Credit One Bank

Operations Data Analyst

Las Vegas, NV · On-site

... of optimizing processes, improving operations systems, and providing the best card member experience. The ideal candidate is driven by analysis, efficiency, and quality, and will be ready to help ...

CreditOne

Operations Data Analyst

Las Vegas, NV · On-site

... of optimizing processes, improving operations systems, and providing the best card member experience. The ideal candidate is driven by analysis, efficiency, and quality, and will be ready to help ...

Renown Health

Senior Application Analyst

Reno, NV · On-site

$50.82 - $71.15/hr

... well as leads optimization and enhancement efforts. This position oversees the design ... The Senior Application Analyst: • Job duties may include activities that assist with application ...

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Optimization Analyst information

See Nevada salary details

$19

$46

$65

How much do optimization analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for optimization analyst in Nevada is $46.69, according to ZipRecruiter salary data. Most workers in this role earn between $34.76 and $61.68 per hour, depending on experience, location, and employer.

What does an optimization analyst do?

An optimization analyst finds ways to optimize web performance for a customer. Whether the project is an article or a web page, they develop a strategy and perform tests to increase search results. Job duties include understanding client goals, conducting A/B testing, displaying analytics for customers and suggesting changes, and forming strategies based on data. Qualifications for this career include a bachelor’s degree and experience in web development or marketing.

How does an optimization analyst typically collaborate with other departments to drive business improvements?

Optimization Analysts frequently work cross-functionally, collaborating with teams like marketing, product development, IT, and operations to identify inefficiencies and recommend actionable improvements. They often facilitate data-driven discussions, present findings through reports or dashboards, and work closely with stakeholders to implement and monitor optimization strategies. This collaborative approach ensures that proposed solutions are aligned with business goals and supported by the necessary teams, making strong communication and teamwork skills essential for success in the role.

What are the key skills and qualifications needed to thrive as an optimization analyst, and why are they important?

To thrive as an Optimization Analyst, you need strong analytical skills, proficiency in mathematics or statistics, and a relevant degree such as in engineering, mathematics, or computer science. Familiarity with data analysis tools like Excel, SQL, Python, or specialized optimization software (e.g., Gurobi, CPLEX) and certifications in data analytics are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These skills enable Optimization Analysts to identify efficiency improvements, deliver actionable insights, and support data-driven decision-making within organizations.

What is the difference between Optimization Analyst vs Data Analyst?

AspectOptimization AnalystData Analyst
Required CredentialsBachelor's in Business, Analytics, or related field; certifications like Six Sigma or Google Data AnalyticsBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau
Work EnvironmentCorporate, consulting, or e-commerce settings focusing on process improvementVarious industries including finance, healthcare, marketing analyzing data trends
Employer & Industry UsageUsed in industries aiming to optimize processes, supply chains, or marketing campaignsUsed across industries for data interpretation, reporting, and decision support

The Optimization Analyst and Data Analyst roles share overlapping skills in data analysis and require similar educational backgrounds. However, Optimization Analysts focus more on improving processes and efficiency, while Data Analysts primarily interpret data to inform decisions. Both roles are vital in data-driven organizations but serve different strategic purposes.

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The top searched job categories for Optimization Analyst jobs in Nevada are:

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Optimization Analyst jobs near you
Infographic showing various Optimization Analyst job openings in Nevada as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $97,117 per year, or $46.7 per hour.

Epic Systems Analyst - PB/Research

UNLV Medicine

Las Vegas, NV • On-site

$77K - $92K/yr

Full-time

Re-posted 28 days ago

Key responsibilities

  • Design, configure, and support Epic applications including Professional Billing, Claims and Remittance, and Research modules.

  • Manage research workflows, data collection, and research protocol support, including issue triage and compliance with regulatory standards.

  • Develop and maintain custom revenue cycle reports, analyze workflow data, and collaborate with vendors to maintain system interfaces.

Job description

The Epic Systems Analyst is responsible for the design, configuration, and long-term maintenance of Epic modules, with a specific focus on the intersection of Revenue Cycle and Clinical Research. This role bridges the gap between technical system build and business operations, ensuring that workflows for Professional Billing and Research are seamless, compliant, and optimized for end-user efficiency.

MAJOR RESPONSIBILITIES

1. System Build & Maintenance

  • Install, configure, and support Epic applications including Professional Billing, Claims and Remittance and Research.
  • Design and configure research workflows within the Epic Research module, including but not limited to study records, enrollment settings, BPAs, recruitment settings, and billing protocols.
  • Manage system architecture, demonstrating a deep understanding of the relationships between programs, system parameters, files, and data.
  • Identify and analyze the need for application modifications based on workflow requirements.
  • Participate in system upgrade, build and testing.

2. Research & Data Integrity

  • Manage the lifecycle: Support data collection, integration from patient records, and the management of research protocols.
  • Issue Management: Triage and manage research-specific issues (SLGs/internal tickets), providing direct support to users and escalating to Epic Technical Support (TS) when necessary.
  • Compliance: Ensure all builds adhere to regulatory standards (e.g., HIPAA) and internal research governance.
  • Security & Access: Manage workflows and account requests for study monitors and external research partners.

3. Analysis & Reporting

  • Analytics: Develop and maintain custom revenue cycle reports and troubleshoot complex data queries. Working with Decision Support team as necessary.
  • Workflow Optimization: Perform in-depth analysis of workflow data collection, report details, and system audits to identify bottlenecks.
  • Vendor Integration: Work with Epic host facility (UMC) to maintain interfaces between the EHR and external vendors (clearinghouses, credit card processors and collections).

4. Project Leadership & Collaboration

  • Project Lifecycle: Lead project planning, development, and implementation; perform positive/negative testing for complex build projects.
  • Matrix Environment: Function effectively within a matrix management structure, collaborating with application support teams to ensure integration across the continuum of care.
  • Liaison Role: Lead weekly/biweekly coordination calls (Research and PB) with Epic Technical Support (TS) to review requests and strategic decisions.
  • Change Management: Evaluate and prioritize optimization requests, distinguishing between small fixes and large-scale projects.

5. Training & Support

  • End-User Guidance: Consult with management and staff on the features and proper uses of new modules.
  • Upgrade and Go-Live Support: Provide support during system upgrades and project go-lives.
  • Training: Lead group training sessions and presentations for diverse audiences.

EXPERIENCE, EDUCATION, AND CERTIFICATIONS

  • Prior experience as an Epic Systems Analyst, Applications Specialist, or equivalent Epic role.
  • Specific experience within an Epic Professional Billing or Research Clinical Trials environment preferred.
  • 1+ years in Revenue Cycle or Research Clinical Trial preferred.
  • High School Diploma or GED equivalency required.
  • Bachelor’s Degree in IT, Healthcare Administration, or a related field preferred.
  • Epic certification or proficiency required within 3 months of hire in one of these areas: 
    • Resolute Professional Billing.
    • Claims and Remittance.
    • Research.

KNOWLEDGE, SKILLS, AND ABILITIES QUALIFICATIONS

  • Advanced Epic Expertise: Technical knowledge of system analysis and a proven track record of managing complex Epic application designs.
  • Analytical Mindset: Ability to consider the business and clinical implications of technical changes within the healthcare environment.
  • Agility: Proven ability to respond to changing demands, priorities, and emerging technologies, paying close attention to details.
  • Communication: Strong interpersonal skills to maintain regular contact with end users, department managers, and vendor partners.

Key Performance Indicator: The successful candidate will own the design and implementation of process improvements that directly enhance data integrity and revenue capture while maintaining strict adherence to clinical research regulations and revenue cycle initiatives.

PHYSICAL REQUIREMENTS

  • May include standing, sitting, and/or walking for extended periods
  • May include performing repetitive tasks
  • May include working on a special schedule (i.e., evenings and weekends)
  • May include working with challenging patients and clients
  • May include lifting up to 25 pounds 

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