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

Collect, analyze, and interpret operational data to support decision-making and process ... Medical, dental, life, and vision insurance. * 401(k) Retirement Plan with company match. * Paid ...

Data Analyst

Houston, TX ยท On-site

$100K - $120K/yr

Data Analyst Department: Finance Employment Type: Permanent Location: Houston Compensation: $100 ... Veriforce provides * 100% paid employee medical and dental insurance * Monthly contributions to ...

Collect, analyze, and interpret operational data to support decision-making and process ... Medical, dental, life, and vision insurance. * 401(k) Retirement Plan with company match. * Paid ...

Collect, analyze, and interpret operational data to support decision-making and process ... Medical, dental, life, and vision insurance. * 401(k) Retirement Plan with company match. * Paid ...

... or medical and professional staff * Provides and analyzes the data necessary to support new initiatives and evaluate existing initiatives * Manages mining, analysis, and interpretation of ...

Logistics Business Improvement - Data Analytics | Global Supply Chain We're looking for a Logistics ... Robin Kushwah Benefit offerings available for our associates include medical, dental, vision, life ...

The ideal candidate will have strong analytical skills, a solid understanding of financial data ... Benefits: โ€ข Medical, dental, life, and vision insurance โ€ข 401(k) Retirement Plan and Match โ€ข ...

The ideal candidate will have strong analytical skills, a solid understanding of financial data ... Benefits: โ€ข Medical, dental, life, and vision insurance โ€ข 401(k) Retirement Plan and Match โ€ข ...

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... Benefits Employee Assistance Program Following eligibility requirements Paid Sick Time Medical ...

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OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... Benefits Employee Assistance Program Following eligibility requirements Paid Sick Time Medical ...

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OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... Benefits Employee Assistance Program Following eligibility requirements Paid Sick Time Medical ...

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Data Analyst III/Learning Systems Analyst We are pleased to recruit for a company whose corporate ... Medical Coverage Direct Deposit Health Savings and Flexible Spending Accounts

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Medical Data Analyst information

See Spring, TX salary details

$14

$33

$48

How much do medical data analyst jobs pay per hour?

As of May 29, 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 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, and why are they important?

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 are Medical Data Analysts?

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 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 are popular job titles related to Medical Data Analyst jobs in Spring, TX? For Medical Data Analyst jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Medical Data Analyst jobs in Spring, TX look for? The top searched job categories for Medical Data Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Medical Data Analyst jobs? Cities near Spring, TX with the most Medical Data Analyst job openings:
Infographic showing various Medical Data Analyst job openings in Spring, TX as of May 2026, with employment types broken down into 1% As Needed, 68% Full Time, 24% Part Time, and 7% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $69,104 per year, or $33.2 per hour.
Data Analyst

Data Analyst

Lonestar

Houston, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

VETERANS ARE ENCOURAGED TO APPLY
Lonestar Electric Supply is seeking a highly analytical and detail-oriented Data Analyst to join our Operations team. Reporting directly to the Divisional Vice President (DVP) of Operations, this role will be responsible for gathering, analyzing, and interpreting data to drive strategic decision-making and improve operational efficiencies. The ideal candidate will have strong problem-solving skills, a deep understanding of data analytics, and the ability to translate complex datasets into actionable insights.
Responsibilities:
  • Collect, analyze, and interpret operational data to support decision-making and process improvements.
  • Develop and maintain reports, dashboards, and key performance indicators (KPIs) to track operational performance.
  • Identify trends, patterns, and anomalies in data to provide actionable insights.
  • Work closely with cross-functional teams to optimize workflows and enhance efficiency.
  • Assist in forecasting and demand planning by analyzing historical data and market trends.
  • Ensure data accuracy and integrity by maintaining and validating datasets.
  • Present findings and recommendations to senior leadership in a clear and concise manner.
  • Support ad-hoc data requests and projects as needed.
  • Perform other duties as assigned by management.

Requirements:
  • Bachelor's degree in Data Science, Business Analytics, Statistics, or a related field.
  • 2+ years of experience in data analysis, preferably within operations or supply chain.
  • Proficiency in data visualization tools such as Power BI, Tableau, or similar.
  • Advanced skills in Microsoft Excel and SQL; experience with Python or R is a plus.
  • Strong problem-solving and critical-thinking abilities.
  • Excellent communication and presentation skills.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.
  • Knowledge of the electrical supply or distribution industry is a plus.

Physical Requirements:
  • Lifting up to 25 lbs. may be required infrequently.
  • Must be able to remain in a stationary position 50% of the time.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.

Benefits:
  • Medical, dental, life, and vision insurance.
  • 401(k) Retirement Plan with company match.
  • Paid Time Off.
  • Specified Holiday Pay.

Disclaimer: This job description outlines the general responsibilities and requirements for the position. Additional duties may be assigned as needed to meet business objectives. At Lonestar Electric Supply, we MAKE IT HAPPEN by leveraging data-driven insights to enhance operational performance and efficiency.