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Medical Data Analyst Jobs in Spring, TX (NOW HIRING)

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$14

$33

$48

How much do medical data analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for medical data analyst in Spring, TX is $33.22, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $34.23 per hour, depending on experience, location, and employer.

What is a medical data analyst?

Medical Data Analysts are professionals who collect, process, and analyze healthcare data to help improve patient outcomes and hospital operations. They work with large sets of medical information, such as patient records, billing data, and clinical trial results, to identify trends, evaluate treatments, and support decision-making. Their work is essential for hospitals, research institutions, and insurance companies to ensure data-driven healthcare solutions.

What does a medical data analyst do?

A medical data analyst collects information, records, and data for companies and organizations that provide health care. They use this data to construct reports and spreadsheets for a management team. The management can use the reports to make adjustments to their operation to account for new trends, streamline treatment plans, and alter customer service, billing, and staffing strategies. A medical data analyst is similar to data analysts in other fields, but they have a deeper understanding of medical terminology and the issues and procedures surrounding the health care industry.

What are the key skills and qualifications needed to thrive as a medical data analyst?

To thrive as a Medical Data Analyst, you need strong analytical skills, a solid understanding of healthcare data, and a background in statistics or a related field, often supported by a degree in health informatics, statistics, or computer science. Experience with data analysis tools like SQL, Python, R, and familiarity with electronic health record (EHR) systems or data visualization platforms is typically required. Attention to detail, problem-solving, and effective communication skills help analysts interpret complex data and collaborate with healthcare professionals. These competencies are critical for generating actionable insights that drive informed decision-making and improve patient outcomes.

How does a medical data analyst typically collaborate with clinicians and other healthcare professionals?

Medical Data Analysts often work closely with clinicians, nurses, and administrative staff to ensure that data-driven insights are both actionable and relevant to patient care. They may participate in interdisciplinary meetings, translate complex data findings into understandable reports, and provide recommendations for improving clinical workflows based on analytics. Effective communication and an understanding of healthcare operations are essential, as analysts must bridge the gap between technical analysis and practical clinical application. This collaborative environment not only enhances patient outcomes but also fosters continuous learning and professional growth.

What is the difference between Medical Data Analyst vs Clinical Data Coordinator?

AspectMedical Data AnalystClinical Data Coordinator
Required CredentialsBachelor's in health informatics, data science, or related field; certifications like CDMP or CPHIMSBachelor's in health sciences, nursing, or related field; certifications like CDMP or CPHIMS
Work EnvironmentHealthcare organizations, research institutions, insurance companiesHospitals, clinical research sites, pharmaceutical companies
Employer & Industry UsageAnalyzing healthcare data, supporting decision-making, improving patient outcomesManaging clinical trial data, ensuring data accuracy, compliance with protocols

While both roles involve healthcare data, Medical Data Analysts focus on analyzing and interpreting data to inform decisions, whereas Clinical Data Coordinators manage and ensure the accuracy of clinical trial data. The roles often overlap but serve distinct functions within healthcare and research settings.

What do you need to be a medical data analyst?

To become a medical data analyst, you typically need a bachelor's degree in health informatics, data science, statistics, or a related field. Strong skills in data analysis tools like Excel, SQL, and statistical software, along with knowledge of healthcare systems and data privacy regulations, are essential.
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Medical Data Analyst jobs near you
Infographic showing various Medical Data Analyst job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $69,104 per year, or $33.2 per hour.

Operations & Finance Data Analytics Lead

Phase2 Technology

Magnolia, TX • On-site

$130 - $170/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Operations & Finance Data Analytics Lead

Job Locations: Houston, TX; Magnolia, TX.

Acuren is currently seeking an Operations & Finance Data Analytics Lead to join our team in Houston. This is an exciting career opportunity for an experienced data analytics professional looking to take the next step and make a meaningful impact within a growing organization.

The role will lead the development, delivery, and ongoing maintenance of enterprise reporting, dashboards, data models, and automation solutions across the I&M organization.

Responsibilities

Using tools such as Power BI, Tableau, SQL, data‑wrangling platforms, and AI‑driven automation technologies, the successful candidate will enhance reporting capabilities, support informed decision‑making, reduce manual processes, and improve operational efficiency.

  • Develop and maintain dashboards, reports, and data models using Power BI and Tableau.
  • Translate operational and financial requirements into clear, actionable reporting and analytics solutions.
  • Develop and manage automated workflows using artificial intelligence and process‑automation tools.
  • Perform and support data preparation, transformation, and quality processes.
  • Partner with I&M Operations, Finance, and functional business units to understand reporting needs and deliver actionable insights.
  • Establish and maintain best practices for data governance, reporting consistency, visualization standards, and automation workflows.
  • Support self‑service analytics and provide training to users on Power BI, Tableau, and other reporting platforms.
Requirements
  • Bachelor’s degree in Finance, Data Analytics, Business, or a related field.
  • Minimum of five years of experience in data analytics, business intelligence development, reporting, or automation.
  • Strong experience using Power BI and Tableau to develop dashboards, reports, and data models.
  • Strong SQL skills and experience with data preparation, transformation, and wrangling.
  • Experience using AI and automation tools such as Power Automate, Microsoft Copilot, Claude, or similar technologies.
  • Ability to manage priorities, organize work effectively, and communicate with technical and non‑technical stakeholders.

Success in this position will be demonstrated through:

  • Reliable, accurate, and high‑quality dashboards and reports.
  • Reduced manual effort through effective automation.
  • Improved data accuracy and consistency.
  • Strong adoption of analytics and self‑service reporting tools across the business.
Benefits
  • Competitive salary
  • Medical, dental, vision, and supplemental insurance
  • 401K plan
  • Paid holidays
  • Paid time off
Working Conditions
  • Office environment with limited physical effort, continuous mental effort, and frequent complex requests for assistance.
  • Travel may be required.
Physical Job Requirements & Demands
  • Sitting for extended periods of time
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