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

Analyst - Data Analyst

Houston, TX ยท On-site

$65 - $70/hr

Analyst - Data Analyst Pride Health is hiring an Application Analyst to support our client ... insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life ...

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... Insurance Vision Insurance HSA Voluntary Life Insurance Accident, Critical Illness, Hospital ...

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... Insurance Vision Insurance HSA Voluntary Life Insurance Accident, Critical Illness, Hospital ...

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... Insurance Vision Insurance HSA Voluntary Life Insurance Accident, Critical Illness, Hospital ...

Data Analyst

Houston, TX ยท Hybrid

$66K - $106K/yr

About the job Data Analyst About Us: Sweve Tech LTD is a forward-thinking engineering consulting ... and vision insurance. - A chance to be part of an impactful projects shaping the future of ...

Company Argo Group Argo Group is an underwriter of specialty insurance products in the property and ... Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Summary:

Build foundational understanding of relevant insurance and energy domain concepts. * Data Discovery, Exploration & Engineering * Conduct Exploratory Data Analysis to assess data quality, structure ...

Build foundational understanding of relevant insurance and energy domain concepts. * Data Discovery, Exploration & Engineering * Conduct Exploratory Data Analysis to assess data quality, structure ...

Build foundational understanding of relevant insurance and energy domain concepts. * Data Discovery, Exploration & Engineering * Conduct Exploratory Data Analysis to assess data quality, structure ...

Build foundational understanding of relevant insurance and energy domain concepts. * Data Discovery, Exploration & Engineering * Conduct Exploratory Data Analysis to assess data quality, structure ...

Build foundational understanding of relevant insurance and energy domain concepts. * Data Discovery, Exploration & Engineering * Conduct Exploratory Data Analysis to assess data quality, structure ...

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Insurance Data Analytics information

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$48

$84

How much do insurance data analytics jobs pay per hour?

As of Jun 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 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 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.
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:
North America Pursuit Data Analyst & Business Planner

North America Pursuit Data Analyst & Business Planner

HP Development Company, L.P.

Spring, TX โ€ข On-site

$59.35K - $89.60K/yr

Other

Medical, Dental, Vision, Life, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

North America Pursuit Data Analyst & Business Planner
Description -
Job Summary
โ€ข This role is responsible for collecting, analyzing, interpreting, and presenting data to support decision-making and provide insights to the organization. The role works with large datasets to identify trends, patterns, and correlations, helping businesses make informed choices and optimize their operations. The role utilizes various tools, techniques, and analytical skills to extract meaningful information from data and communicate their findings to non-technical stakeholders.
Responsibilities
โ€ข Participates as a member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
โ€ข Uses statistical tools and techniques to identify process gaps, root cause issues, and drive data driven decision making.
โ€ข Develops and applies a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights.
โ€ข In accordance with plan and team guidance, performs/executes data collection and analysis procedures and data insight visualizations for assigned projects.
โ€ข Assists the team in performing experiments and validations in accordance with overall plan.
โ€ข Collects, records, and analyzes data using established protocols and processes; communicates findings to other team members for review and feedback.
โ€ข Assists in preparation of literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.
โ€ข Applies foundational principles and contributes proactively to projects through research and data analysis support, providing regular updates on accomplishments and impediments.
โ€ข Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports.
Education & Experience Recommended
โ€ข Four-year Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
โ€ข Typically has 1-5 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
Preferred Programming Languages
โ€ข (SQL, Python, or similar preferred)
Knowledge & Skills
โ€ข Agile Methodology
โ€ข Business Intelligence
โ€ข Computer Science
โ€ข Dashboard
โ€ข Data Analysis
โ€ข Data Management
โ€ข Data Modeling
โ€ข Data Quality
โ€ข Data Science
โ€ข Data Visualization
โ€ข Data Warehousing
โ€ข Extract Transform Load (ETL)
โ€ข Machine Learning
โ€ข Power BI
โ€ข Python (Programming Language)
โ€ข R (Programming Language)
โ€ข SAS (Software)
โ€ข SQL (Programming Language)
โ€ข Statistics
โ€ข Tableau (Business Intelligence Software)
Cross-Org Skills
โ€ข Effective Communication
โ€ข Results Orientation
โ€ข Learning Agility
โ€ข Digital Fluency
โ€ข Customer Centricity
Location:
Candidate must sit within the Houston, TX Metro area. This role is on site.
Disclaimer
โ€ข This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Salary:
The pay range for this role is $59,350 to $89,600 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
* Health insurance
* Dental insurance
* Vision insurance
* Long term/short term disability insurance
* Employee assistance program
* Flexible spending account
* Life insurance
* Generous time off policies, including;
* 4-12 weeks fully paid parental leave based on tenure
* 11 paid holidays
* Additional flexible paid vacation and sick leave (US benefits overview
[https://hpbenefits.ce.alight.com/])
The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Not Specified
Relocation -
No
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"