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Entry Level Insurance Data Analytics Jobs in Houston, TX

Data Analyst - Entry Level Category: Testing/Quality Assurance Main location: United States, Texas ... You'll gain hands on experience with modern analytics tools and technology enabled workflows ...

Requirements * Bachelor's degree in data analytics, statistics, information systems, security ... Medical/ Dental/ Vision Insurance; FSA Medical & FSA Dependent Care; Pre-tax 401(k) & ROTH 401(k) ...

This role combines data analytics, programming, and business intelligence with hands-on laboratory ... in entry-level or laboratory support positions. * Perform other duties and special projects ...

This role combines data analytics, programming, and business intelligence with hands-on laboratory ... in entry-level or laboratory support positions. * Perform other duties and special projects ...

Data Analyst

Houston, TX · On-site

$30K - $35K/yr

Vision insurance * Wellness resources * 401(k) * 401(k) matching * Competitive salary * Dental ... Develop data pipelines and analytics that deliver business value; collaborate with cross-functional ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

The Data Analyst will be responsible for collecting, processing, and analyzing data to support ... Health Insurance * Life Insurance * Paid time off Schedule: * Monday to Friday Work location:

Data Analysis Level III is responsible for analyzing In-Line Inspection (ILI) data and verifying ... Medical, Dental, and Vision Insurance * Health Savings Account (HSA) * 401(k) & Company match

Data Analysis Level III is responsible for analyzing In-Line Inspection (ILI) data and verifying ... Medical, Dental, and Vision Insurance * Health Savings Account (HSA) * 401(k) & Company match

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Data Engineer

Houston, TX · On-site

$106K - $128K/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 ...

Jump-start your career by joining our growing team as an entry-level insurance agent. Candidates ... Excellent analytical, interpersonal, and communications skills are necessary; customer service ...

Jump-start your career by joining our growing team as an entry-level insurance agent. Candidates ... Excellent analytical, interpersonal, and communications skills are necessary; customer service ...

Be Seen First

The Portfolio Analyst will support trading operations, portfolio reporting, data management ... Family health insurance premiums paid by the firm, excluding co-pays and other out-of-pocket ...

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Entry Level Insurance Data Analytics information

See Houston, TX salary details

$23

$52

$90

How much do entry level insurance data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for entry level insurance data analytics in Houston, TX is $52.28, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $59.23 per hour, depending on experience, location, and employer.

What is an entry level insurance data analytics job?

Entry level insurance data analytics jobs involve collecting, processing, and analyzing data to help insurance companies make better business decisions. Professionals in these roles typically use statistical tools and software to identify trends, assess risks, and support pricing or policy development. They may also prepare reports and visualizations to communicate findings to other teams. These positions are ideal for recent graduates with strong analytical skills who have an interest in the insurance industry.

What are the key skills and qualifications needed to thrive as an entry level insurance data analytics professional?

To thrive as an Entry Level Insurance Data Analytics professional, you need foundational skills in statistics, data analysis, and proficiency with Excel or similar tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data analytics software such as SQL, Python, R, and insurance industry databases is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this role. These competencies are crucial for accurately interpreting insurance data, supporting business decisions, and conveying insights to both technical and non-technical stakeholders.

What are some common challenges faced by entry level insurance data analytics professionals, and how can they be addressed?

Entry-level professionals in insurance data analytics often encounter challenges such as working with large, complex datasets, understanding industry-specific terminology, and aligning analytical findings with business objectives. To overcome these, it's important to develop strong data management and visualization skills, seek mentorship from experienced colleagues, and regularly communicate with underwriters, actuaries, and business teams to understand the context behind the numbers. Proactively participating in team meetings and taking advantage of on-the-job training can also help bridge knowledge gaps and foster professional growth.

What is the difference between Entry Level Insurance Data Analytics vs Insurance Data Analyst?

AspectEntry Level Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; basic knowledge of analytics toolsBachelor's or higher in data analysis, statistics, or related; some roles prefer certifications
Work EnvironmentEntry-level roles in insurance companies, focusing on data collection and basic analysisMore experienced roles involving complex data modeling and reporting
Employer & Industry UsageInsurance companies, brokers, and agenciesInsurance firms, consulting agencies, and risk management companies

Entry Level Insurance Data Analytics positions focus on foundational data tasks within insurance firms, often requiring less experience and offering training opportunities. Insurance Data Analysts typically have more experience, handling advanced analysis and reporting. Both roles are essential in the insurance industry but differ mainly in complexity and responsibility.

What does an entry level insurance data analyst do in insurance?

An entry level insurance data analyst collects, organizes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with underwriters and actuaries to improve underwriting processes and pricing strategies.

What are the most commonly searched types of Insurance Data Analytics jobs in Houston, TX?

The most popular types of Insurance Data Analytics jobs in Houston, TX are:

What are popular job titles related to Entry Level Insurance Data Analytics jobs in Houston, TX?

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

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

The top searched job categories for Entry Level Insurance Data Analytics jobs in Houston, TX are:

What cities near Houston, TX are hiring for Entry Level Insurance Data Analytics jobs?

Cities near Houston, TX with the most Entry Level Insurance Data Analytics job openings:

Infographic showing various Entry Level Insurance Data Analytics job openings in Houston, TX as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $108,746 per year, or $52.3 per hour.

Data Analyst - Entry Level

Houston, TX • On-site


CGI Inc.

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

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Full-time

Posted 8 days ago


Job description

Data Analyst - Entry Level
Category: Testing/Quality Assurance
Main location: United States, Texas, Houston
Position ID:J0826-1515
Employment Type: Graduate
Position Description:
Are you passionate about uncovering insights that drive smarter decisions and help organizations solve real world problems? Do you enjoy working with data, collaborating with teams, and using analytics and AI enabled tools to turn information into meaningful outcomes?
If so, CGI offers a place where you can grow your career, build your skills, and make a real impact from day one.
As an Entry Level Data Analyst, you'll work with cross functional teams to prepare, analyze, and interpret data that shapes business decisions and solutions. You'll gain hands on experience with modern analytics tools and technology enabled workflows, building strong foundations in data analysis, visualization, problem solving, and responsible data practices.
Fall Application Period: August 24, 2026 - November 6, 2026
Position is in Houston, TX in a hybrid working model
Your future duties and responsibilities:
How You'll Make an Impact
• Develop a strong understanding of your client's industry, organization, customers, and business objectives.
• Build trusted relationships with clients and teammates by asking thoughtful questions, actively listening, and clarifying business needs.
• Collaborate with clients and cross-functional teams to translate business questions and needs into analytical approaches and solutions.
• Apply foundational analytical techniques to identify trends, compare results, test assumptions and draw meaningful conclusions from data.
• Collect, prepare, analyze and interpret data to identify trends, patterns, and insights that help answer client questions and inform decisions.
• Support the development of reports, dashboards, visualizations, and other data drive solutions that turn information into meaningful insights.
• Communicate findings and insights clearly through data storytelling and visualizations that technical and non-technical audiences can understand.
• Use modern and AI-enabled tools to support data preparation, exploration, analysis, visualization, and insight generation.
• Apply responsible AI practices by considering privacy, security, data quality, transparency, and appropriate human oversight when using AI-enabled tools
• Support data quality, validation, documentation, testing and continuous improvement activities throughout the project life cycle.
Required qualifications to be successful in this role:
What You'll Bring
• Bachelor's degree in Data Science, Information Systems, Computer Science, Statistics, Business Analytics, or a related field.
• Authorization to work in the United States on a permanent basis without current or future employer sponsorship. Certain positions may also require U.S. Citizenship and/or the ability to obtain and maintain a U.S. government security clearance based on client or government requirements.
• Curiosity, professionalism, and a strong desire for continuous learning.
• Strong analytical and problem solving skills, with comfort navigating ambiguity and complex information.
• Clear written and verbal communication skills with the ability to simplify and explain complex ideas.
• Collaborative mindset and ability to work effectively with fast-paced cross functional teams.
• Foundational proficiency of data analysis concepts and techniques, including data preparation, exploration, visualization and interpretation.
• Foundational proficiency to data analysis tools and technologies such as SQL, data visualization tools (e.g., Power BI or Tableau), and/or programming languages used for data analysis (e.g., Python or R).
• Exposure to data analysis through coursework, internships, research or personal projects is preferred but not required.
• Foundational understanding of development data/AI engineering and analysis concepts and technologies, such as object-oriented programming, artificial intelligence and machine learning, APIs, testing version control and the software development lifecycle
• Interest in learning and responsibly using AI-enabled tools, analytics platforms, and modern data technologies to support data-driven decision making.
We're a global company of owners. Over 90,000 partners strong, we bring our diverse backgrounds and perspectives together to solve some of IT and business consulting's toughest problems for some of the world's best companies. Looking for a place that empowers you to explore your full potential and shape your own career? The scale and reach of our impact offer you just that. Join a team of great people, collaborate on meaningful work, and serve the communities you call home while you do it.
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set level, experience and training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $58,000 - $95,700.
#CGIEarlyCareers
What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

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