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Healthcare Data Analytics Jobs (NOW HIRING)

As a Manager of Healthcare Data Analytics, you will lead a team responsible for transforming complex healthcare data (claims and provider) into structured, reliable data assets. You'll partner ...

Ensure all analytics and data activities comply with HIPAA and applicable healthcare data privacy regulations Qualifications/Experience * Bachelor's degree in Data Analytics, Finance, Statistics ...

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Provide analytics and reporting to MSOs/IPAs and internal teams, including quality, pharmacy, and ...

Healthcare Data Analyst

Orange, CA ยท On-site

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Provide analytics and reporting to MSOs/IPAs and internal teams, including quality, pharmacy, and ...

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 ...

Health Care Data Analyst

San Antonio, TX ยท On-site

$19.55 - $29.75/hr

POSITION SUMMARY/RESPONSIBILITIES Responsible for research, data collection and analysis of health ... Two years experience conducting data analysis in a managed care environment is preferred. Eight (8) ...

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 ...

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 ...

Senior Healthcare Data Analyst

Palo Alto, CA ยท On-site

$101K - $127K/yr

Strong experience with Python and Pandas for data analysis and processing * Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.) * Experience with ...

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Healthcare Data Analytics information

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How much do healthcare data analytics jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for healthcare data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive in the Healthcare Data Analytics position, and why are they important?

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 is a Healthcare Data Analytics job?

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 cities are hiring for Healthcare Data Analytics jobs? Cities with the most 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:
What states have the most Healthcare Data Analytics jobs? States with the most job openings for Healthcare Data Analytics jobs include:
Infographic showing various Healthcare Data Analytics job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Manager, Healthcare Data Analytics

Manager, Healthcare Data Analytics

Valenz

Phoenix, AZ โ€ข Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

Vฤlenzยฎ Health is the platform to simplify healthcare โ€“ the destination for employers, payers, providers and members to reduce costs, improve quality, and elevate the healthcare experience. The Valenz mindset and culture of innovation combine to create a distinctly different approach to an inefficient, uninspired health system. With fully integrated solutions, Valenz engages early and often to execute across the entire patient journey โ€“ from care navigation and management to payment integrity, plan performance and provider verification. With a 99% client retention rate, we elevate expectations to a new level of efficiency, effectiveness and transparency where smarter, better, faster healthcare is possible.
About This Opportunity:

As a Manager of Healthcare Data Analytics, you will lead a team responsible for transforming complex healthcare data (claims and provider) into structured, reliable data assets. Youโ€™ll partner closely with Product, Data Engineering, and Application Development to deliver high-quality analytics that power critical business decisions. This role blends people leadership, hands-on work, and is centered on SQL and Python, with an emphasis on data transformation, modeling, and solving complex data problems that support downstream analytics and business use.

Strong candidates bring deep experience working with healthcare data and advanced SQL, along with a track record of building and structuring datasets that are used across teams.


Things Youโ€™ll Do Here:

  • Lead, coach, and develop a team of Analysts by providing technical direction, reviewing deliverables, and guiding problem-solving approaches.
  • Define and execute the provider analytics roadmap in alignment with product and enterprise data strategy.
  • Set clear performance expectations, support professional development, and manage ongoing performance.
  • Serve as a subject matter expert in provider data, leading complex analyses to establish accurate provider identity, network status, affiliations, and hierarchy across multiple data sources.
  • Design and support scalable, production-grade analytics workflows using SQL, Python, and Databricks.
  • Ensure the accuracy, quality, and integrity of analytical outputs through strong validation and review practices.
  • Partner cross-functionally with Data Engineering, Product, Application Development, and Client Success to deliver solutions, resolve complex issues, and support strategic initiatives.
  • Translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences.
  • Identify and implement process improvements to enhance efficiency, scalability, and data reliability.
  • Evaluate and introduce emerging technologies and best practices to strengthen provider data capabilities.
  • Manage and track work through project management tools such as Azure DevOps and Salesforce.
Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties.
What Youโ€™ll Bring to the Team:
  • 5+ years of healthcare data analytics experience (provider, claims, network)
  • 2+ years in a leadershipย role
  • Bachelorโ€™s degree in a quantitative field (Statistics, Mathematics, Computer Science, Finance, or Economics) or equivalent experience.
  • Advanced SQL skills and working knowledge of Python, with experience supporting or reviewing production-level code.
  • Experience building and maintaining datasets used for analytics and business operations and ability to translate business needs into structured data solutions
  • Strong attention to detail with a focus on data accuracy, validation, and quality.
  • Excellent communication skills, with the ability to work across technical and non-technical teams.
  • Highly organized, with the ability to manage multiple priorities in a fast-paced environment.
A plus if you haveโ€ฆ
  • Masterโ€™s degree.
  • Experience with Spark or other distributed processing frameworks.
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Working knowledge of version control (Git) and CI/CD practices.


Where Youโ€™ll Work: This is a fully remote position, and weโ€™ll provide all the necessary equipment!

  • Work Environment: Youโ€™ll need a quiet workspace that is free from distractions.
  • Technology: Reliable internet connectionโ€”if you can use streaming services, youโ€™re good to go!
  • Security: Adherence to company security protocols, including the use of VPNs, secure passwords, and company-approved devices/software.
  • Location: You must be US based, in a location where you can work effectively and comply with company policies such as HIPAA.
ย 

Why You'll Love Working Here

Valenz is proud to be recognized by Inc. 5000 as one of Americaโ€™s fastest-growing private companies. Our team is committed to delivering on our promise to engage early and often for smarter, better, faster healthcare. With this commitment, youโ€™ll find an engaged culture โ€“ one that stands strong, vigorous, and healthy in all we do.
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Benefits

  • Generously subsidized company-sponsored Medical, Dental, and Vision insurance, with access to services through our own products, Healthcare Blue Book and KISx Card.
  • Spending account options: HSA, FSA, and DCFSA
  • 401K with company match and immediate vesting
  • Flexible working environment
  • Generous Paid Time Off to include vacation, sick leave, and paid holidays
  • Employee Assistance Program that includes professional counseling, referrals, and additional services
  • Paid maternity and paternity leave
  • Pet insurance
  • Employee discounts on phone plans, car rentals and computers
  • Community giveback opportunities, including paid time off for philanthropic endeavors

At Valenz, we celebrate, support, and thrive on inclusion, for the benefit of our associates, our partners, and our products. Valenz is committed to the principle of equal employment opportunity for all associates and to providing associates with a work environment free of discrimination and harassment. All employment decisions at Valenz are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.

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