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Insurance Data Analyst Jobs in Alabama (NOW HIRING)

We are seeking a Data Analyst to support the design, development, and optimization of advanced ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Senior Data Analyst

Huntsville, AL ยท On-site

$80K - $101K/yr

Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of values that we ... insurance. In addition to these benefits, B&A employees enjoy paid time off, B&A sponsored ...

Senior Data Analyst

Huntsville, AL

$80K - $101K/yr

Description Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of ... insurance. In addition to these benefits, B&A employees enjoy paid time off, B&A sponsored ...

Senior Data Analyst

Huntsville, AL ยท On-site

$80K - $101K/yr

Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of values that we ... insurance. In addition to these benefits, B&A employees enjoy paid time off, B&A sponsored ...

Senior Healthcare Data Analyst

Centre, AL ยท Remote

$80K - $133K/yr

Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by ... Life Insurance 401k/403B with Employer Match Tuition Assistance - $5,250/year and discounted ...

Senior Healthcare Data Analyst - Remote

Centre, AL ยท Remote

$81K - $102K/yr

Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by ... Life Insurance 401k/403B with Employer Match Tuition Assistance - 5,250/year and discounted ...

Business Data Analyst I

Huntsville, AL ยท On-site

$66K - $83K/yr

Your expertise in data collection, analysis, visualization, ERP system customization, and ... Medical, vision, and dental insurance * Group Short-Term & Long-Term Disability * HSA and FSA ...

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Showing results 1-20

Insurance Data Analyst information

See Alabama salary details

$30.8K

$74.9K

$123.3K

How much do insurance data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for insurance data analyst in Alabama is $74,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $87,900.00 per year, depending on experience, location, and employer.

How much does an insurance analyst make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with advanced skills or specialized knowledge can earn higher salaries. They often work with data analysis tools like Excel, SQL, and statistical software in an office environment.

What is the difference between Insurance Data Analyst vs Actuary?

AspectInsurance Data AnalystActuary
Required CredentialsBachelor's degree in statistics, data science, or related field; often certifications like CAP or CPCUBachelor's degree in mathematics, statistics, or actuarial science; professional actuarial exams and credentials (e.g., ASA, FSA)
Work EnvironmentData analysis teams within insurance companies, focusing on data modeling and reportingActuarial departments, focusing on risk assessment, pricing, and reserving
Employer & Industry UsageInsurance companies, brokers, and consulting firmsInsurance companies, consulting firms, government agencies

While both roles involve working with insurance data, Insurance Data Analysts focus on data collection, analysis, and reporting, whereas Actuaries specialize in risk modeling and financial forecasting using advanced mathematics and actuarial exams. The roles often collaborate but serve different strategic functions within insurance organizations.

Do insurance companies need a data analyst?

Insurance companies rely on data analysts to interpret large datasets, assess risk, and support decision-making processes. Data analysts use tools like SQL and Excel, and often require industry knowledge and analytical skills to improve underwriting, claims management, and pricing strategies.

What are the key skills and qualifications needed to thrive as an Insurance Data Analyst, and why are they important?

To thrive as an Insurance Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics, finance, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, and data visualization platforms, as well as knowledge of insurance-specific databases and certifications like CPCU or AIDA, is highly valued. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective support of business objectives in the insurance industry.

How does an Insurance Data Analyst typically collaborate with underwriters and actuaries?

Insurance Data Analysts frequently work alongside underwriters and actuaries to provide data-driven insights that inform risk assessment and pricing decisions. Analysts gather, clean, and interpret large sets of policyholder and claims data, then present actionable findings through reports or dashboards. Regular meetings and joint projects ensure that underwriters and actuaries have the most accurate, up-to-date information to make decisions, and that data models align closely with business needs. Strong communication and teamwork skills are essential for success in this collaborative environment.

What does an Insurance Data Analyst do?

An Insurance Data Analyst is responsible for collecting, processing, and analyzing data related to insurance policies, claims, customer behavior, and market trends. They use statistical tools and software to identify patterns, assess risks, and provide actionable insights that help insurance companies make informed decisions. Their work supports pricing strategies, fraud detection, customer retention, and overall business performance. Insurance Data Analysts often collaborate with underwriters, actuaries, and business managers to optimize processes and improve profitability.

What does a data analyst do in insurance?

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

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in their careers by developing relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience in insurance or related fields can also be valuable in this career path.
Infographic showing various Insurance Data Analyst job openings in Alabama as of July 2026, with employment types broken down into 70% Full Time, 6% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $74,904 per year, or $36 per hour.
Data Analyst

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

RESPONSIBILITIES:
#restonfed
Kforce has a client that is seeking a Data Analyst in Huntsville, AL.
Summary:
We are seeking a Data Analyst to support the design, development, and optimization of advanced analytics applications. This role will focus on building scalable data pipelines, developing visual analytics capabilities, and transforming structured and semi-structured data into actionable intelligence. The ideal candidate has hands-on experience with data querying, BI/dashboard development, statistical scripting, data warehousing, and pipeline optimization.
What You'll Do:
* Develop data analytics capabilities for desktop and web-based visual analytic applications
* Design, build, and optimize data pipelines to support bulk analysis of relational, structured, and semi-structured data
* Create advanced visualizations and dashboards that help users identify trends, patterns, and actionable insights
* Design strategies for enterprise database systems, including operations, programming, performance, and security standards
* Build and maintain large relational databases and integrate new systems with existing warehouse environments
* Refine system performance, functionality, and data transformation processes to improve usability and scalability
REQUIREMENTS:
* Bachelor's degree in a related field
* Experience with Cribl
* Experience designing, developing, or maintaining data pipelines and warehouse environments
* Knowledge of advanced data querying, including SQL
* Knowledge of BI and dashboard development tools such as Power BI or Tableau
* Knowledge of statistical scripting languages such as Python or R
* Knowledge of data pipelines, data transformation, and ETL/ELT processes
Preferred Qualifications:
* Experience working with structured and semi-structured data streams
* Experience supporting high-performance computing, advanced graphics, or visualization environments
* Familiarity with open-source, commercial, or custom-developed analytics technologies
* Strong analytical, problem-solving, and communication skills
* Ability to translate complex data into manageable, actionable intelligence for end users
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.