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Insurance Data Analytics Jobs in Alabama (NOW HIRING)

Senior Data Analyst

Huntsville, AL · On-site

$115K - $149K/yr

... insurance, tuition reimbursement, as well as a 401K with company match. This job will be posted until filled or withdrawn. Core Duties: * Serve as the Lead for Data Analytics and Modeling supporting ...

Senior Data Analyst

Huntsville, AL · On-site

$99K - $138K/yr

Bachelor's degree in Data Science, Data Analytics, Operations Research, Statistics, Mathematics ... Vision Insurance Company paid Short-Term and Long-Term Disability Company paid Life and AD&D ...

Senior Data Analyst

Huntsville, AL · On-site

$99K - $138K/yr

Bachelor's degree in Data Science, Data Analytics, Operations Research, Statistics, Mathematics ... Insurance · Company paid Short-Term and Long-Term Disability · Company paid Life and AD&D ...

Senior Data Analyst

Huntsville, AL · On-site

$115K - $149K/yr

... insurance, tuition reimbursement, as well as a 401K with company match. This job will be posted until filled or withdrawn. Core Duties: Serve as the Lead for Data Analytics and Modeling supporting ...

Senior Data Analyst

Huntsville, AL · On-site

$99K - $138K/yr

Bachelor's degree in Data Science, Data Analytics, Operations Research, Statistics, Mathematics ... Insurance • 401k with competitive matching and vesting schedule • Continuing education ...

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Showing results 1-20

Insurance Data Analytics information

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 the most commonly searched types of Insurance Data Analytics jobs in Alabama?

The most popular types of Insurance Data Analytics jobs in Alabama are:

What job categories do people searching Insurance Data Analytics jobs in Alabama look for?

The top searched job categories for Insurance Data Analytics jobs in Alabama are:

Infographic showing various Insurance Data Analytics job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Senior Data Analytics Consultant

Huntsville, AL


Guidehouse
Business Management Consulting • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

People enjoy working here

Good employer

Paid breaks


Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

Active Secret

What You Will Do:

Guidehouse is seeking a Senior Data Analytics Consultant who will provide data solutions (analysis, data engineering, data science etc.) to a Department of Defense client. You will be a part of a multi-disciplinary, high-impact team supporting the client achieve and infrastructure excellence. The ideal candidate will perform technical tasks that include, but are not limited to, building data pipelines, developing visualizations, and building predictive models. These tasks will involve using advanced tools and technologies such as Python, R, SQL, and data visualization platforms like Workshop and Slate within Palantir Foundry. The consultant will also be responsible for ensuring data integrity and security, adhering to best practices in data management, and staying updated with the latest trends in data analytics. Experience with machine learning algorithms and statistical analysis will be highly advantageous.

What You Will Need:

  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance

  • Bachelor's Degree

  • THREE (3) or more years of experience as a data scientist, data analyst or data engineer

What Would Be Nice To Have:

  • Knowledge of infrastructure and MILCON

  • Proficiency in programming languages such as Python or R

  • Excellent problem-solving skills and attention to detail

  • Strong communication and collaboration skills, with the ability to work effectively in a team environment

  • Experience with design and build of ETL programs, interfaces, and data reconciliation processes

  • Ability to effectively communicate with all levels of staff within an organization


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.



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