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Volunteer Insurance Data Analytics Jobs in Spring Branch, TX

Public Health Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

Public Health Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

Insurance industry experience (P&C and/or Life Insurance). * Experience supporting enterprise data ... Experience using reporting and analytics tools such as Power BI * Experience working with XML, JSON ...

Involved in the analysis of structured, unstructured and semi-structured data, including latent ... These monetary benefits include medical insurance, life insurance, disability, paid time off ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

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Showing results 21-40

Volunteer Insurance Data Analytics information

See Spring Branch, TX salary details

$20

$46

$80

How much do volunteer insurance data analytics jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for volunteer insurance data analytics in Spring Branch, TX is $46.47, according to ZipRecruiter salary data. Most workers in this role earn between $37.36 and $52.64 per hour, depending on experience, location, and employer.

What is the difference between Volunteer Insurance Data Analytics vs Insurance Data Analyst?

AspectVolunteer Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsRelevant certifications, data analysis skills, insurance knowledgeDegree in statistics, data science, or related field; certifications preferred
Work EnvironmentNon-profit, volunteer-based, flexible hoursCorporate insurance companies, structured office settings
Employer & Industry UsageNon-profit organizations, insurance charitiesInsurance firms, financial institutions
Common Search & ComparisonVolunteer Insurance Data Analytics vs Insurance Data Analyst

Volunteer Insurance Data Analytics focuses on analyzing insurance data within volunteer or non-profit contexts, often with flexible or part-time roles. Insurance Data Analysts work in corporate settings, handling large datasets to inform business decisions. Both roles require similar analytical skills and insurance knowledge but differ mainly in work environment and employment type.

What job categories do people searching Volunteer Insurance Data Analytics jobs in Spring Branch, TX look for?

The top searched job categories for Volunteer Insurance Data Analytics jobs in Spring Branch, TX are:

What cities near Spring Branch, TX are hiring for Volunteer Insurance Data Analytics jobs?

Cities near Spring Branch, TX with the most Volunteer Insurance Data Analytics job openings:

Infographic showing various Volunteer Insurance Data Analytics job openings in Spring Branch, TX as of June 2026, with employment types broken down into 4% As Needed, 77% Full Time, 15% Part Time, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $96,656 per year, or $46.5 per hour.

Public Health Data Engineer

Guidehouse

San Antonio, TX • On-site

$103K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd of 72 rated business consultants


Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative environment.

  • Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources.

  • Support the implementation and enhancement of data models, databases, and cloud-based data solutions.

  • Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers.

  • Develop and maintain scripts, queries, and applications using technologies such as Python, SQL, and PySpark.

  • Support cloud-based data environments and services in AWS and Azure.

  • Assist with the implementation of CI/CD processes and software development best practices using Git and related tools.

  • Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.

  • Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability.

  • Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high-quality solutions.

  • Document technical processes, data flows, and system configurations.

  • Continuously develop technical skills and stay current with emerging data engineering technologies and best practices.


What You Will Need:

  • U.S. Citizenship or permanent residency is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.

  • TWO (2) or more years of experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline.

  • Experience with a programming language such as Python, Java, or SQL.

  • Experience with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.

  • Experience with data integration, ETL, data warehousing, or analytics concepts.

What Would Be Nice To Have:

  • Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.

  • Basic understanding of relational databases and data querying concepts.

  • Familiarity with version control systems such as Git.

  • Basic understanding of software development lifecycle and Agile methodologies.

  • Strong analytical, problem-solving, and troubleshooting skills.

  • Ability to learn new technologies and work collaboratively in a team environment.

  • Strong verbal and written communication skills.

  • Experience working with public health data and agencies

  • Exposure to Databricks, Spark, or large-scale data processing technologies.

  • Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB.

  • Experience with data visualization or reporting tools such as Power BI, Tableau, or Kibana.

  • Exposure to CI/CD tools and DevOps practices.

  • AWS, Azure, Databricks, or related cloud/data certifications.

  • Experience supporting healthcare, public sector, or federal clients.

  • Interest in data architecture, machine learning, artificial intelligence, or advanced analytics.

  • Previous consulting, client-facing, internship, or cooperative education experience.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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