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Insurance Data Analytics Jobs in Spring, TX (NOW HIRING)

LegalEASE

Data Engineer

Houston, TX · On-site

$30K - $35K/yr

Vision insurance * Wellness resources * 401(k) * 401(k) matching * Competitive salary * Dental ... Gather, analyze, and interpret data to identify key trends, patterns, and opportunities for ...

SAGIS PLLC

Data Analyst II

Houston, TX

Create queries and build visualizations using business intelligence tools (Zoho Analytics, Power BI ... Medical, Dental, and Vision Insurance * Company-Paid Short-term and Long-term Disability, Basic ...

Talan Group

Project Manager / Data Analyst

Houston, TX · On-site

$60 - $80/hr

Analyze data to ensure consistency, accuracy, and business relevance * Understand data meaning ... vision insurance plans + FSA * 🦺Voluntary STD and LTD All your information will be kept ...

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Sagis

Data Analyst II

Houston, TX · On-site

$100 - $120/hr

Create queries and build visualizations using business intelligence tools (Zoho Analytics, Power BI ... Medical, Dental, and Vision Insurance * Company‑Paid Short‑term and Long‑term Disability ...

LegalEase Plan

Data Engineer

Houston, TX · On-site

$30K - $35K/yr

Vision insurance * Wellness resources * 401(k) * 401(k) matching * Competitive salary * Dental ... Gather, analyze, and interpret data to identify key trends, patterns, and opportunities for ...

Aitopics

Analytics Engineer

Houston, TX · On-site

$119 - $234/hr

... insurance AWS | Cloud Computing | DBT | Data Documentation | Data Modeling 401k matching | Flexible time off | Health benefits | Remote-friendly Free dog walking services | Free on-site gym | Free ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Spring, TX

Insurance Data Analytics information

See Spring, TX salary details

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$48

$84

How much do insurance data analytics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for insurance data analytics in Spring, TX is $48.72, according to ZipRecruiter salary data. Most workers in this role earn between $39.13 and $55.19 per hour, depending on experience, location, and employer.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

What are popular job titles related to Insurance Data Analytics jobs in Spring, TX?

For Insurance Data Analytics jobs in Spring, TX, the most frequently searched job titles are:

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

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

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

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

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $101,335 per year, or $48.7 per hour.

Data Engineer

LegalEASE

Houston, TX • On-site

$30K - $35K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

LegalEASE rating

7.8

Company rating: 7.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

138th of 500 rated business services

Job description

Benefits:
  • Health insurance
  • Paid time off
  • Training & development
  • Vision insurance
  • Wellness resources
  • 401(k)
  • 401(k) matching
  • Competitive salary
  • Dental insurance
  • Free food & snacks

Who we are:
We are a legal access employee benefits company that makes the needs of our members a priority — offering them the best products and services in a personal yet professional manner. 
Over the decades, our team members have built a culture that encourages creativity, growth, fun, and success. This culture sits at the heart of every decision we make and fuels our mission to help people navigate life’s legal challenges with confidence.

About the Role
LegalEASE is looking for a Data Engineer to help design, build, and maintain the data infrastructure and reporting solutions that support our business as we continue to grow. In this role, you'll transform data from multiple sources into meaningful insights that guide operational, product, and leadership decisions. You'll work in an Agile environment, partnering closely with software engineering, product, and business stakeholders to turn raw data into clear, actionable direction for the organization.
What You'll Do
  • Gather, analyze, and interpret data to identify key trends, patterns, and opportunities for business improvement
  • Participate in daily stand-ups and other Agile ceremonies
  • Develop data pipelines and analytics that deliver business value; collaborate with cross-functional teams to align data insights with organizational goals and strategies
  • Ensure data integrity, accuracy, quality, and uptime by adhering to best practices in data handling and validation, and prevent overages or errors in data queries
  • Create and maintain clear, accurate, and impactful reports and visualizations, tailoring presentations to technical and non-technical stakeholders
  • Perform routine data audits and cleanup
  • Test and develop internal tools, and optimize semantic models for data querying and scalability
  • Proactively identify areas of opportunity through data analysis, contributing to strategic initiatives and business growth
  • Maintain accountability for completing assigned work increments as determined by your manager
  • Stay current on best practices for the technologies critical to this role

What You'll Bring
Required Education & Experience
  • Bachelor's degree in Data Analytics, Business Intelligence, Statistics, or a related field, or equivalent experience
  • 2+ years of experience in a Data Analyst or Business Intelligence role
  • Strong proficiency in Python for data extraction and transformation
Skills & Qualifications
  • Strong analytical, communication, and problem-solving skills with exceptional attention to detail
  • Strong experience with Microsoft Fabric, including Python, Spark notebooks, Copilot Studio, Git, and APIs
  • Experience with Data Lakes and large datasets, data visualization tools (e.g., Tableau, Power BI), and analytics platforms
  • Advanced knowledge of Excel, SQL (MySQL), or other data manipulation tools
  • Experience working in Agile or Scrum environments
  • Ability to interpret and present complex data in a clear and actionable manner
  • Excellent communication and collaboration skills to work effectively with diverse teams
Nice to Have
  • Knowledge of statistical analysis and forecasting techniques
  • Experience in a fast-paced, data-driven environment
  • Familiarity with advanced analytics techniques and tools
  • Prior experience supporting strategic initiatives with data insights
Our Offering:
  • Culture built on Trust, Respect, and Integrity
  • Environment that supports the personal drive for excellence
  • Access to robust health insurance and legal benefit plans
  • Paid vacation
  • Free Fitness Center on property
  • 401 (k) Retirement plan
Work Authorization/Security Clearance:
  • Candidate must have valid work authorization for the U.S.
  • A criminal background investigation is conducted on every Legal Access Plans employee.
  • All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a direct threat or significant risk to the health and safety of themselves or other employees.
AAP/EEO Statement:
Legal Access Plans is an equal opportunity employer.

Flexible work from home options available.

What LegalEASE employees say

Hours and flexibility

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