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

NAVA Software Solutions

Sr. Data Analyst Snowflake

Houston, TX · On-site

$82K - $103K/yr

Senior Data Analyst -Snowflake Location: Houston TX - Onsite Duration: Full time /Direct Hire Job ... Generate regular reports on data usage, performance, and system health. * Documentation: * Maintain ...

Frost Bank

Insurance Actuarial Analyst

Houston, TX · On-site

In this role, you will lead the collection, validation, and analysis of complex healthcare data to help us remain competitive. You are excited to combine your passion for insurance and actuary ...

Gridmatic Inc

Senior Data Analyst

Houston, TX · Hybrid

$82K - $103K/yr

Data validation / QA automation Should have - important, less urgent * Operations work queue ... Taking care of you today: - Continuing Education Opportunities - Flexible PTO - Medical, Dental and ...

Ra

Health Care Analyst (Medicare)

Houston, TX · Remote

Who holds consulting experience in US Healthcare Payer market! Who holds 2+ years' experience in US Payer operations & US Payer system implementations! Who is experienced in systems and processes ...

Raytheon

Principal Analyst Data Manager

Houston, TX

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... healthcare, wellness, retirement and work/life benefits; career development and recognition ...

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All JobsHealthcare Data Analyst JobsHealthcare Data Analyst Jobs in Spring, TX

Healthcare Data Analyst information

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$33

$55

How much do healthcare data analyst jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for healthcare data analyst in Spring, TX is $33.22, according to ZipRecruiter salary data. Most workers in this role earn between $25.87 and $37.64 per hour, depending on experience, location, and employer.

What does a healthcare data analyst do?

A Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work with electronic health records, billing data, and clinical information to identify trends, improve patient outcomes, and ensure operational efficiency. Their insights support healthcare providers, administrators, and policymakers in optimizing services and reducing costs. Analysts often use statistical tools and data visualization techniques to communicate findings to stakeholders.

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

To thrive as a Healthcare Data Analyst, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, statistics, or a related field. Familiarity with data analytics tools such as SQL, Excel, Tableau, and healthcare-specific software like Epic or Cerner is essential, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help translate complex data into actionable insights for healthcare teams. These skills are vital for improving patient outcomes, streamlining operations, and supporting data-driven decision-making in healthcare organizations.

What are some common challenges faced by healthcare data analysts when working with clinical data?

Healthcare Data Analysts often encounter challenges such as dealing with incomplete or inconsistent patient records, integrating data from various electronic health record (EHR) systems, and ensuring patient privacy while analyzing sensitive information. Navigating complex regulatory requirements like HIPAA is also a key part of the role. Analysts must develop strong problem-solving skills and maintain close collaboration with clinical and IT teams to ensure data accuracy and meaningful insights.

What is the difference between Healthcare Data Analyst vs Healthcare Data Scientist?

AspectHealthcare Data AnalystHealthcare Data Scientist
Required CredentialsBachelor's in health informatics, data analysis, or related field; certifications like CPC or CAP often preferredAdvanced degrees (Master's or PhD) in data science, statistics, or related fields; certifications like Certified Analytics Professional (CAP) beneficial
Work EnvironmentHospitals, clinics, insurance companies, healthcare IT firmsResearch institutions, healthcare tech companies, pharmaceutical firms
Employer & Industry UsageCommonly employed in healthcare settings for data reporting and analysisUsed in advanced data modeling, predictive analytics, and research projects

Healthcare Data Analysts focus on interpreting healthcare data to improve patient outcomes and operational efficiency, often working with existing datasets. Healthcare Data Scientists perform more complex data modeling and predictive analytics, requiring advanced technical skills and higher education. Both roles are vital in healthcare but differ in scope and complexity.

How do I become a certified healthcare data analyst?

To become a certified healthcare data analyst, you typically need a bachelor's degree in health informatics, data science, or a related field, along with experience working with healthcare data. Earning certifications such as the Certified Health Data Analyst (CHDA) from the American Health Information Management Association (AHIMA) or the Certified Analytics Professional (CAP) can enhance your credentials. Proficiency in data analysis tools like SQL, Excel, and statistical software is also important for this role.

Is there a demand for healthcare data analysts?

Healthcare data analysts are in high demand due to the increasing focus on data-driven decision making in healthcare organizations. The role requires skills in data management, statistical analysis, and tools like SQL and Excel, with job growth expected to be faster than average over the next several years.

What degree do you need to be a healthcare data analyst?

Healthcare data analysts typically need at least a bachelor's degree in fields such as health informatics, statistics, data science, or a related area. Many employers prefer candidates with a master's degree or relevant certifications in data analysis or healthcare analytics. Strong skills in data management, statistical software, and understanding healthcare systems are also important.
More about Healthcare Data Analyst jobs

What are the most commonly searched types of Healthcare Data Analyst jobs in Spring, TX?

The most popular types of Healthcare Data Analyst jobs in Spring, TX are:

What are popular job titles related to Healthcare Data Analyst jobs in Spring, TX?

For Healthcare Data Analyst jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Analyst jobs in Spring, TX look for?

The top searched job categories for Healthcare Data Analyst jobs in Spring, TX are:

What cities near Spring, TX are hiring for Healthcare Data Analyst jobs?

Cities near Spring, TX with the most Healthcare Data Analyst job openings:

Healthcare Data Analyst jobs near you
Infographic showing various Healthcare Data Analyst job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $69,093 per year, or $33.2 per hour.

Sr. Data Analyst Snowflake

NAVA Software Solutions

Houston, TX • On-site

$82K - $103K/yr

Full-time

Re-posted 17 days ago

Job description

NAVA Software solutions is looking for a Senior Data Analyst Snowflake
Details:
Senior Data Analyst -Snowflake
Location: Houston TX - Onsite
Duration: Full time /Direct Hire
Job Summary: The Senior Snowflake Data Analyst plays a crucial role in leveraging the Snowflake data platform to extract meaningful insights, support decision-making processes, and optimize data-related operations. This senior-level position involves advanced data analysis, database management, and collaboration with cross-functional teams to ensure effective utilization of Snowflake in meeting business objectives.
Key Responsibilities:
  1. Data Analysis and Interpretation:
    • Conduct advanced data analysis using Snowflake, extracting actionable insights from complex datasets.
    • Interpret and communicate findings to both technical and non-technical stakeholders to drive data-informed decision-making.
  1. Database Management:
    • Design and implement optimized Snowflake data structures, including tables, views, and stored procedures.
    • Develop and maintain efficient ETL processes to ensure the timely and accurate flow of data into and out of Snowflake.
  1. Query Optimization:
    • Optimize SQL queries for performance and efficiency, ensuring the best use of Snowflake's capabilities.
    • Collaborate with database administrators and developers to fine-tune database performance.
  1. Data Governance and Security:
    • Implement and enforce data governance policies within Snowflake to maintain data integrity and security.
    • Work closely with security teams to ensure compliance with industry standards and regulations.
  1. Collaboration with Stakeholders:
    • Collaborate with business analysts, data scientists, and other stakeholders to understand business requirements and provide data-driven solutions.
    • Act as a subject matter expert, providing guidance on the use of Snowflake for various analytical purposes.
  1. Performance Monitoring and Reporting:
    • Monitor and analyze system performance metrics to proactively identify and address potential issues.
    • Generate regular reports on data usage, performance, and system health.
  1. Documentation:
    • Maintain comprehensive documentation of database structures, data flows, and ETL processes within Snowflake.
    • Develop and update documentation for data standards and best practices.
  1. Training and Mentoring:
    • Provide training and mentorship to junior data analysts or other team members on Snowflake best practices and advanced analytics.

Qualifications:
  • Bachelor's or Master's degree in Data Science, Computer Science, or a related field.
  • Proven experience as a data analyst with a focus on Snowflake data platform.
  • Advanced proficiency in SQL and experience with Snowflake-specific SQL syntax.
  • Strong understanding of data warehousing concepts and best practices.
  • Excellent analytical, problem-solving, and communication skills.

Preferred Skills:
  • Snowflake Certification.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of cloud platforms (e.g., AWS, Azure) and their integration with Snowflake.
  • Familiarity with data modeling and schema design.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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