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

Guidehouse

Data Scientist

Houston, TX

Analyzing existing processes and identifying opportunities for automation and optimization ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse

Data Scientist

Houston, TX · On-site

Analyzing existing processes and identifying opportunities for automation and optimization ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Adecco

Marketing Data Analyst

Spring, TX

$28.53/hr

... Data Analytics, Business Intelligence, or a related role. · Strong expertise in Power BI ... life insurance, short-term disability, additional voluntary benefits, EAP program, commuter ...

Maximus

Data Coordination Analyst

Houston, TX

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

New

Maximus

Data Coordination Analyst

The Woodlands, TX · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

New

CBRE

Loan Servicing Insurance Analyst

Houston, TX · On-site

$35K - $48K/yr

Conduct analysis of Commercial Insurance to ensure compliance with Lender requirements ... Utilize CBRE proprietary client systems to review insurance data and run reports. * Assist in ...

Maximus

Data Coordination Analyst

Houston, TX · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

New

Maximus

Data Coordination Analyst

The Woodlands, TX

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

New

Hp

Data Solutions - Data Engineer

Spring, TX

$130K - $205K/yr

The role performs root-cause analysis and recommends or executes corrective actions when data ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

SAGIS PLLC

Data Analyst II

Houston, TX · On-site

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 ...

Hp

Supplies North America Business Analyst

Spring, TX

$83K - $127K/yr

Data Science * AI-Enabled Analytics * Statistical Analysis * Business Analytics * Business ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

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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 Jul 3, 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 are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

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.

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.

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 collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

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 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 June 2026, with employment types broken down into 5% As Needed, 74% Full Time, 15% Part Time, 3% Temporary, and 3% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,335 per year, or $48.7 per hour.
Data Analyst (Spring, TX)

Data Analyst (Spring, TX)

FCC Environmental Services

Spring, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

FCC Environmental Services rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

51st of 72 rated recycling and waste

Job description

It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.
Important Requirements
• Must be authorized to work in the U.S. without the need for current or future sponsorship
• This role does not support visa sponsorship or employment-based immigration processes
• No relocation assistance is available; candidates must be local or self-relocate
Position Overview
The Data Analyst serves as a critical liaison between Finance, IT, Operations, Sales, Customer Service, and other business units to ensure data integrity, accuracy, and alignment with organizational objectives. This role is responsible for overseeing data flows between vertical applications and the Core SAP system, managing customer and operational data, supporting reporting initiatives, and driving data governance and process improvement efforts across the organization.
The ideal candidate is analytical, detail-oriented, and highly collaborative, with the ability to manage large datasets, identify data discrepancies, and support strategic business initiatives through effective data management and system integration.
Key Responsibilities
Data Integrity & System Integration
  • Ensure billables, receivables, and adjustments accurately traverse between vertical applications and the Core SAP system
  • Support and execute ETL (Extract, Transform, Load) processes for data movement, migration, and system updates
  • Manage and maintain charge codes and service codes to ensure consistency, compliance, and operational alignment across systems
  • Perform ongoing data validation, auditing, cleansing, and quality checks to ensure data accuracy and completeness
  • Identify, troubleshoot, and resolve data inconsistencies, errors, and gaps across platforms

Operational & Customer Data Management
  • Validate routing information and collaborate with GIS Routing teams on data uploads, geolocation accuracy, and data hygiene initiatives
  • Review, clean, standardize, and maintain customer and operational data across internal systems
  • Provide guidance and validation for Sales Contract input to ensure alignment with departmental and organizational objectives
  • Ensure new customer data aligns with Customer Service standards and operational requirements

Reporting & Business Support
  • Ensure Finance has access to accurate and reliable data for reporting and analysis
  • Support ad-hoc reporting requests and collaborate with Data Analysts on reporting visualization and business insights
  • Maintain documentation for data processes, quality controls, and system workflows

Cross-Functional Collaboration & Data Governance
  • Coordinate strategic process and system changes impacting operational, financial, and customer data
  • Work closely with Operations, Accounting, IT, Sales, Customer Service, and other departments to support data-related initiatives
  • Assess and communicate the impact of process changes on data integrity and business operations
  • Develop and support long-term goals for data governance, integration, and business planning
  • Establish and promote best practices for enterprise data management and compliance standards

Qualifications
  • Bachelor's degree in Business, Data Analytics, Information Systems, or a related field, or equivalent experience
  • Experience with data management, enterprise systems, SAP, and application integration preferred
  • Strong proficiency in Excel required; experience with SQL, Python, or other data management tools is a plus
  • Understanding of data structures, data cleansing, ETL processes, and reporting concepts
  • Familiarity with CRM systems and operational workflows preferred
  • Strong analytical and problem-solving skills with exceptional attention to detail
  • Excellent communication and collaboration skills with the ability to work effectively across multiple departments
  • Ability to manage repetitive, detail-driven work while maintaining a high level of accuracy
  • Positive attitude, reliability, and willingness to learn new systems and business processes

Key Attributes
  • Highly detail-oriented and quality-focused
  • Strong organizational and analytical capabilities
  • Methodical and reliable in execution
  • Collaborative team player with strong interpersonal skills
  • Adaptable and eager to learn new systems, tools, and processes
  • Capable of balancing tactical data management responsibilities with strategic business support

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short-Term & Long-Term Disability
  • Training & Development

FCC Environmental Services, LLC operates in a multicultural, global environment and is a richly diverse organization operating seamlessly as one company. We aim to attract, motivate and retain the best people in our industry, whatever their background. We share the same passion to deliver world-class solutions to our customers. We have the best waste management professionals in the industry and develop this talent in an inspiring work environment.
FCC Environmental Services, LLC is proud to be an equal opportunity workplace employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other characteristic. We are an Equal Opportunity Employer of Minorities, Females, Protected Veterans, and Individual with Disabilities.

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