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Senior Healthcare Data Analytics Jobs (NOW HIRING)

Sentara

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by ... Promotes self-service analytics for customer adoption, understanding and use of data. Supports ...

Lthc

Healthcare Data Analyst

Dewitt, MI · On-site

... Health Care Network Management (HCNM), Operational Excellence (OpEx), Safety Net (SN) program ... Analytics and Data) to collaboratively work on predictive modeling opportunities as well as utilize ...

Lthc

Healthcare Data Analyst

Albany, NY · On-site

... Health Care Network Management (HCNM), Operational Excellence (OpEx), Safety Net (SN) program ... Analytics and Data) to collaboratively work on predictive modeling opportunities as well as utilize ...

Scalepex

Healthcare Data Analyst

Dallas, TX

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

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Senior Healthcare Data Analytics information

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How much do senior healthcare data analytics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior healthcare data analytics in the United States is $114,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $135,000.00 per year, depending on experience, location, and employer.

Is senior healthcare data analytics a good career?

Senior healthcare data analytics is a growing field that involves analyzing healthcare data to improve patient outcomes and operational efficiency. It requires skills in data management, statistical analysis, and familiarity with healthcare systems, often utilizing tools like SQL, Python, or R. The role offers strong job prospects, competitive salaries, and opportunities for advancement in the healthcare industry.

What is a senior healthcare data analytics professional?

Senior Healthcare Data Analytics professionals are experts who analyze complex healthcare data to uncover insights that can improve patient outcomes, efficiency, and decision-making within healthcare organizations. They use advanced statistical techniques, data modeling, and data visualization tools to interpret trends and patterns in large datasets, such as electronic health records or claims data. Their work often informs policy, clinical practice, and operational strategies, and they may also mentor junior analysts or lead analytics teams. Typically, they have several years of experience in data analysis and a strong understanding of healthcare systems and regulatory requirements.

What is the difference between Senior Healthcare Data Analytics vs Healthcare Data Analyst?

AspectSenior Healthcare Data AnalyticsHealthcare Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Healthcare, or related field; experience in analyticsBachelor's in Healthcare, Data Science, or related field; entry to mid-level experience
Work EnvironmentHealthcare organizations, hospitals, health systems, or consulting firmsClinics, hospitals, insurance companies, or healthcare providers
Employer & Industry UsageUsed for strategic decision-making, data modeling, and leadership rolesUsed for data collection, reporting, and basic analysis tasks

Senior Healthcare Data Analytics professionals typically have advanced education and experience, focusing on strategic analysis and leadership. Healthcare Data Analysts perform foundational data collection and reporting tasks. Both roles are vital in healthcare data management but differ in scope and responsibility.

What are some common challenges faced by senior healthcare data analytics professionals, and how can they be addressed?

Senior Healthcare Data Analytics professionals often encounter challenges such as integrating data from disparate sources, ensuring data quality and compliance with healthcare regulations like HIPAA, and translating complex analytics into actionable insights for non-technical stakeholders. Addressing these challenges requires strong collaboration with IT teams, ongoing data validation procedures, and effective communication skills to bridge technical and clinical perspectives. Staying current with industry standards and leveraging advanced analytical tools can also help streamline processes and improve outcomes.

What are the key skills and qualifications needed to thrive as a senior healthcare data analytics professional, and why are they important?

To thrive as a Senior Healthcare Data Analytics professional, a strong background in statistics, data analysis, and healthcare systems is essential, typically supported by a degree in data science, health informatics, or a related field. Proficiency with data visualization tools (like Tableau or Power BI), programming languages (such as SQL, Python, or R), and advanced knowledge of electronic health record (EHR) systems are commonly required. Analytical thinking, attention to detail, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills and qualities are crucial for driving data-informed decisions that improve patient outcomes and operational efficiency in healthcare organizations.
More about Senior Healthcare Data Analytics jobs
What cities are hiring for Senior Healthcare Data Analytics jobs? Cities with the most Senior Healthcare Data Analytics job openings:
What are the most commonly searched types of Healthcare Data Analytics jobs? The most popular types of Healthcare Data Analytics jobs are:
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Senior Healthcare Data Analytics jobs near you
Infographic showing various Senior Healthcare Data Analytics job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $114,472 per year, or $55 per hour.

Senior Healthcare Data Analyst

Imagine Staffing Technology

Atlanta, GA • Remote

$150K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Job Title: Senior Medical Economics Analyst
Location: Remote (Atlanta, GA preferred)
Hire Type: Direct Hire
Pay Range: $150,000 - $160,000 Base Salary + 10% Bonus + Equity Participation
Work Model: Remote Preferred | Atlanta-Based Candidates Preferred
Schedule: Monday – Friday, Standard Business Hours
Recruiter Contact: Samantha Marranca | 716-256-1271 | smarranca@imaginestaffing.net
Nature & Scope:
Positional Overview
Our client is seeking a highly analytical and business-minded Senior Medical Economics Analyst to support the continued evolution of its healthcare analytics and predictive insights capabilities.
This is a newly created position reporting into senior leadership and will play a critical role in helping the organization transition from retrospective healthcare reporting toward forward-looking predictive analytics and strategic healthcare insights. The successful candidate will leverage healthcare economics expertise, advanced analytics, statistical methodologies, and consultative problem-solving to support executive leadership, client-facing teams, provider organizations, and value-based healthcare initiatives.
The ideal candidate will possess deep experience working with healthcare claims and population health data, demonstrate strong predictive modeling capabilities, and have the ability to transform complex healthcare data into actionable business recommendations.
This role offers the opportunity to directly influence organizational strategy, support executive decision-making, and contribute to innovative healthcare solutions focused on improving patient outcomes while reducing healthcare costs.
Role & Responsibility:
Tasks That Will Lead To Your Success
  • Analyze large-scale healthcare datasets to identify trends, risks, opportunities, and performance drivers
  • Evaluate provider performance, utilization patterns, referral behaviors, quality outcomes, and healthcare costs
  • Conduct healthcare economics analyses including:
    • PMPM (Per Member Per Month) analysis
    • Utilization trend analysis
    • Cost decomposition analysis
    • Medical cost economics evaluations
    • Quality and performance measurement
  • Perform risk-adjusted financial and utilization analyses across Commercial, Medicare Advantage, and Medicaid populations
  • Analyze longitudinal healthcare performance across multiple reporting periods
Predictive Analytics & Statistical Modeling
  • Design, develop, and operationalize predictive analytics solutions
  • Build and maintain statistical models to identify future healthcare risks and opportunities
  • Develop probability-based models supporting:
    • Population health initiatives
    • Patient risk stratification
    • Utilization forecasting
    • Cost prediction
    • Quality outcome measurement
  • Apply methodologies such as:
    • Logistic regression
    • Risk adjustment
    • Difference-in-differences analysis
    • Credibility weighting
    • Benchmarking methodologies
    • Performance normalization techniques
  • Support the organization's transition toward proactive, forward-looking healthcare insights
Data Management & Technical Analysis
  • Write advanced SQL queries to extract, transform, and analyze healthcare data
  • Create episode-level, provider-level, and member-level datasets
  • Leverage healthcare claims, enrollment, provider, and risk-adjustment data sources
  • Utilize SQL, Tableau, Excel, and Python to develop analytical solutions
  • Normalize healthcare data to account for demographic, reimbursement, geographic, and population changes
  • Ensure analytical methodologies produce accurate, meaningful, and actionable results
Strategic Consulting & Business Partnership
  • Partner with executive leadership, client success teams, sales leadership, providers, and customers to address complex business questions
  • Translate analytical findings into clear business recommendations
  • Serve as a consultative resource by identifying additional insights beyond the original request
  • Present findings to technical and non-technical audiences
  • Help stakeholders understand both the "what" and the "why" behind healthcare performance trends
  • Recommend strategic actions based on analytical findings
Value-Based Care & Program Evaluation
  • Support evaluation and optimization of value-based care programs
  • Analyze episode-of-care performance and specialty care utilization
  • Assist with pricing validation and reconciliation methodologies
  • Support network optimization and care management initiatives
  • Evaluate financial and quality outcomes across multiple healthcare populations
  • Develop frameworks supporting value-based pricing and performance measurement
Skills & Experience
Qualifications That Will Help You Thrive
Required Experience
  • Bachelor’s Degree in Healthcare Analytics, Statistics, Mathematics, Economics, Actuarial Science, Data Science, Computer Science, Public Health, or related STEM discipline
  • 5+ years of healthcare analytics, medical economics, population health, healthcare consulting, payer, or health plan experience
  • Advanced SQL expertise with demonstrated experience analyzing large healthcare datasets
  • Strong healthcare economics background including medical cost analysis, utilization analysis, and performance measurement
  • Experience working with:
    • Medical Claims Data
    • Enrollment & Eligibility Data
    • Provider Data
    • Healthcare Performance Data
    • Value-Based Care Programs
  • Experience developing predictive analytics and statistical models
  • Strong analytical storytelling and consultative communication skills
  • Ability to independently manage complex projects and shifting priorities
Preferred Experience
  • Master's Degree in a quantitative discipline
  • Actuarial credentials (ASA, FSA) or actuarial experience
  • Biostatistics experience within healthcare environments
  • Experience supporting payer or health plan organizations
  • Population health analytics experience
  • Value-based care and episode-of-care experience
  • Advanced predictive modeling expertise
  • Python or R programming experience
  • Tableau development experience
  • Experience presenting findings to executive leadership and external stakeholders
Team & Environment
  • Reports directly to senior healthcare analytics leadership
  • Small, highly collaborative analytics team
  • Significant visibility with executive leadership
  • Opportunity to influence organizational strategy
  • Fast-paced environment with changing priorities
  • High level of autonomy and ownership
  • Exposure to leadership teams, provider organizations, customers, sales leadership, and client success stakeholders
Compensation & Benefits
Compensation
  • Base Salary: $150,000 – $160,000
  • Annual Bonus Opportunity (~10%)
  • Stock Option / Equity Participation
Benefits
  • Company-paid Medical, Dental, and Vision Coverage (select plans)
  • Annual HSA Contribution (~$1,740)
  • 401(k) with Company Match
  • Unlimited PTO
  • Company-Paid Life Insurance
  • Company-Paid Short-Term & Long-Term Disability
  • Employee Assistance Program
  • Professional Development Support
Why Join This Opportunity?
This is an opportunity to help shape the future of healthcare analytics within a growing organization focused on healthcare economics, predictive insights, and value-based care initiatives. You'll have direct exposure to executive leadership, meaningful ownership over strategic initiatives, and the ability to drive measurable impact across healthcare cost, quality, and patient outcomes.
Unlike larger organizations where analytics teams are highly specialized, this role offers broad influence, visibility, and the opportunity to build innovative solutions that directly affect business strategy and client success.