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Healthcare Data Analytics Jobs in Colorado (NOW HIRING)

Healthcare Data Developer

Denver, CO · On-site

$90K - $120K/yr

Analyze healthcare claims data to support fee schedule development and validation * Develop SQL queries and Python scripts for data processing, transformation, validation, and automation * Implement ...

Sr. Data Analyst

Denver, CO · On-site

$85K - $104K/yr

Research, hypothesize and develop analytical approaches for identifying, analyzing, and interpreting trends or patterns in complex data sets, particularly in healthcare claims & lab data. * Ability ...

Virta Health is on a mission to transform type 2 diabetes and weight-loss care. Current treatment ... The Product Analytics team harnesses data to shape decisions across Virta. In this role you'll sit ...

... Healthcare, Nonprofit Organizations, and Affordable Housing. We Live Our Core Values Our values ... About the Role The Senior Data & Analytics Specialist is responsible for designing, building, and ...

... Healthcare, Nonprofit Organizations, and Affordable Housing. We Live Our Core Values Our values ... About the Role The Senior Data & Analytics Specialist is responsible for designing, building, and ...

... Healthcare, Nonprofit Organizations, and Affordable Housing. We Live Our Core Values Our values ... About the Role The Senior Data & Analytics Specialist is responsible for designing, building, and ...

Clinical Data Engineer

Denver, CO · On-site

$85K - $100K/yr

... healthcare data standards, measures, and code sets as well as applicable data privacy practices and legal requirements. What We're Looking For * Bachelor's degree in data analytics, public health, or ...

Data Analytics Manager

Denver, CO · On-site

$125 - $150/hr

Comprehensive benefits package (health, dental, vision, wellness, 401K Matching, annual fitness ... Our Data & Analytics team is committed to transforming data into readable, goal-oriented insights ...

Data Analytics Manager

Denver, CO · On-site

$140K - $149K/yr

Comprehensive benefits package (health, dental, vision, wellness, 401K Matching, annual fitness ... Our Data & Analytics team is committed to transforming data into readable, goal-oriented insights ...

Data Analytics Manager

Denver, CO · On-site

$140K - $149K/yr

Comprehensive benefits package (health, dental, vision, wellness, 401K Matching, annual fitness ... Our Data & Analytics team is committed to transforming data into readable, goal-oriented insights ...

Comprehensive benefits package (health, dental, vision, wellness, 401K Matching, annual fitness ... Our Data & Analytics team is committed to transforming data into readable, goal-oriented insights ...

Comprehensive benefits package (health, dental, vision, wellness, 401K Matching, annual fitness ... Our Data & Analytics team is committed to transforming data into readable, goal-oriented insights ...

Sr. Data Analyst

Denver, CO · On-site

$85K - $104K/yr

... thoughtful care, and supporting people through every stage of their health journey. Our work ... The associate's primary focus will be supporting and advancing initiatives across analytics and ...

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Healthcare Data Analytics information

See Colorado salary details

$25

$57

$99

How much do healthcare data analytics jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for healthcare data analytics in Colorado is $57.57, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $65.19 per hour, depending on experience, location, and employer.

What is a healthcare data analytics?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

What are the key skills and qualifications needed to thrive in healthcare data analytics?

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What are some typical challenges faced in a healthcare data analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

How do I become a healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with understanding healthcare data and regulations, is essential. Gaining experience through internships or certifications such as Certified Health Data Analyst (CHDA) can also improve job prospects.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Python, with certifications such as Certified Health Data Analyst (CHDA) enhancing job prospects. The role offers strong job growth, competitive salaries, and opportunities across healthcare providers, insurance companies, and technology firms.

What does a healthcare data analyst do in healthcare?

A healthcare data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

What are the most commonly searched types of Healthcare Data Analytics jobs in Colorado?

The most popular types of Healthcare Data Analytics jobs in Colorado are:

What are popular job titles related to Healthcare Data Analytics jobs in Colorado?

For Healthcare Data Analytics jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Analytics jobs in Colorado look for?

The top searched job categories for Healthcare Data Analytics jobs in Colorado are:

What cities in Colorado are hiring for Healthcare Data Analytics jobs?

Cities in Colorado with the most Healthcare Data Analytics job openings:

Infographic showing various Healthcare Data Analytics job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $119,740 per year, or $57.6 per hour.

Healthcare Data Developer

Denver, CO • On-site

AArete
Business Management Consulting • 51 - 200 employees

$90K - $120K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Key responsibilities

  • Develop and maintain healthcare fee schedule solutions using Snowflake, SQL, and Python

  • Translate business and reimbursement requirements into technical logic and data transformations

  • Develop SQL queries and Python scripts for data processing, transformation, validation, and automation


Job description

Description

Healthcare Data Developer

AArete is one-of-a-kind when it comes to consulting firm culture

We're a global, innovative management and technology consulting firm with offices in the U.S. and India. Our name comes from the Greek word for excellence: "Arete." And excellence is exactly what we strive for.

We're celebrating our fourth year as one of Forbes' World's Best Management Consulting Firms - and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete's "Culture of Care" takes a holistic approach to the employee experience.

AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment.

The Role

We are looking for a Healthcare Data Developer with strong Snowflake, SQL and Python skills to support the development and testing of healthcare fee schedules. This role will work with healthcare claims data and business requirements to develop data transformations, implement pricing and reimbursement logic, and validate results.

Work You'll Do

  • Develop and maintain healthcare fee schedule solutions using Snowflake, SQL, and Python
  • Translate business and reimbursement requirements into technical logic and data transformations
  • Analyze healthcare claims data to support fee schedule development and validation
  • Develop SQL queries and Python scripts for data processing, transformation, validation, and automation
  • Implement and validate pricing logic based on business requirements
  • Perform functional, regression, integration, and data validation testing
  • Compare expected versus actual pricing results and investigate discrepancies
  • Identify and troubleshoot issues related to data, business rules, or technical implementation
  • Develop automated validation processes to improve the efficiency and accuracy of fee schedule testing
  • Work with business stakeholders to understand requirements and clarify pricing rules
  • Support UAT and resolve issues identified during business testing
  • Perform data reconciliation and identify gaps or inconsistencies in fee schedule coverage
  • Support deployment and post-production validation
  • Collaborate with data engineers, analysts, business stakeholders, and onshore/offshore development teams
  • Document technical logic, testing procedures, and validation results
  • Other duties as assigned

Requirements

  • 3+ years of experience in healthcare data, claims processing, healthcare analytics, data engineering, or a related field
  • Strong Snowflake and SQL skills
  • Strong Python skills for data processing, transformation, validation, and automation
  • Experience working with healthcare claims data
  • Experience with data validation, testing, or QA.
  • Ability to translate business requirements into technical solutions.
  • Strong analytical and problem-solving skills.
  • Excellent attention to detail.
  • Ability to work independently and effectively collaborate with technical and business teams
  • Willingness to engage in direct client interaction, including travel to client locations
  • Must be legally authorized to work in the United States without the need for employer sponsorship

Preferred Requirements

  • Experience with healthcare fee schedules or reimbursement methodologies
  • Knowledge of CPT, HCPCS, modifiers, revenue codes, DRGs/APR-DRGs, NPI, and TIN
  • Experience with professional and institutional claims management
  • Experience with healthcare payer data
  • Experience developing automated testing or validation using Python
  • Familiarity with Git, Jira, and Agile development practices
  • Based in Chicago, IL, and flexible to work from our Chicago office as needed

Compensation & Benefits

  • Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays
  • Own Your Day flexible work policy
  • Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match
  • Generous paid parental leave options
  • Employer-paid Life Insurance, Short Term Disability, Long Term Disability
  • Charitable contribution matching program
  • New client commission opportunities and referral bonus program
  • Bike share discount program

The estimated base salary range for this position is $90,000 - $120,000. In addition to this base salary, individuals may be eligible for an annual discretionary bonus. This range is a part of a competitive, total compensation package together with our majority employer-paid benefits and incentive pay for eligible roles. Please note that this range is a guideline, and individual total compensation may vary due to numerous factors, including but not limited to experience level, certifications, and other relevant business considerations.

AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available.

We put humans at the center of our work

We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results.

But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion.

And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.

We've earned a Great Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms.

Learn more about our award-winning culture

AArete, LLC ("AArete") may utilize Artificial Intelligence/Automated Decision-Making Technology/Automated Employment Decision Technology tools and resources ("AI" or "tools" or "resources") to assist humans in generating job descriptions and postings, recruitment, analyzation of information, screening candidates, evaluation of candidate information, and assisting humans in the selection of potential candidates by all levels of AArete employees for all positions.

AArete may use Microsoft Co-Pilot, OpenAI ChatGPT, Anthropic Claude, Google Gemini, LinkedIn Recruiter AI and Hiring Assistant, Jobvite Talent Fit and AArete HireSense. AArete may use all the information you provide. Submission of information to AArete shall serve as consent to AArete's use of AI tools and resources. AArete complies with all applicable law and does not use AI to discriminate against any individual and does not use location or geographic data like zip codes to act in a discriminatory or illegal manner. Your personal data may be used in relation to prospective employment with AArete and will only be retained for so long as legally necessary.

AArete shall comply with its posted privacy policies and candidates may contact Recruiting or Privacy Departments, as identified below, to request accommodations or to exercise any of your applicable rights, pursuant to applicable law:

Recruiting: [emailprotected]

Privacy: