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Insurance Data Analytics Jobs in Alabama (NOW HIRING)

Ataero

Data Analyst

Huntsville, AL · On-site

... leads data analytics and modeling activities supporting Centralized Distribution Activities ... Dental Insurance * Vision Insurance * Basic Life & AD&D * Short Term Disability * Long Term ...

New

Ataero

Data Analyst

Huntsville, AL · On-site

... leads data analytics and modeling activities supporting Centralized Distribution Activities ... Dental Insurance * Vision Insurance * Basic Life & AD&D * Short Term Disability * Long Term ...

New

Kforce Technology Staffing

Data Analyst

Huntsville, AL · On-site

Develop data analytics capabilities for desktop and web-based visual analytic applications * Design ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Guidehouse

Data Analyst

Huntsville, AL

... analytics. What You Will Need: * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse

Data Analyst

Huntsville, AL · On-site

... analytics. What You Will Need: * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

PNC Bank

Data Analyst - AMG

Birmingham, AL · On-site

$52K - $127K/yr

... Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies ... This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act ...

American Ops

AI/ML Engineer / Data Scientist

Montgomery, AL · On-site

$85 - $115/hr

Supports AI/ML-enabled analytics, predictive maintenance analysis, anomaly detection, operational ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays) * Short ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Alabama

Insurance Data Analytics information

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.

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 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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 most commonly searched types of Insurance Data Analytics jobs in Alabama? The most popular types of Insurance Data Analytics jobs in Alabama are:
What are popular job titles related to Insurance Data Analytics jobs in Alabama? For Insurance Data Analytics jobs in Alabama, the most frequently searched job titles 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:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Data Analyst

Atkinson Aeronautics and Technology

Huntsville, AL • On-site

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Ataero is hiring!
Data Analyst, Senior
Redstone Arsenal, Alabama
(Contingent upon contract award)
POSITION SUMMARY
The Senior Data Analyst leads data analytics and modeling activities supporting Centralized Distribution Activities operations. The analyst oversees descriptive and predictive analytical products, establishes sound analytical methods and quality controls, and mentors junior analysts supporting Army logistics and supply-chain decisions.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Lead descriptive, diagnostic, and predictive analysis of Army logistics and supply-chain data.
  • Apply data-mining, statistical-modeling, and appropriate machine-learning methods to identify trends, forecast outcomes, and improve operational decision support.
  • Develop, validate, document, and maintain repeatable analytical models, measures, dashboards, reports, and data-visualization products.
  • Use Tableau, Power BI, or comparable Government-approved tools to communicate operational performance, risk, trends, and improvement opportunities.
  • Direct and mentor junior Program/Data Analysts and review their data preparation, analytical methods, assumptions, model performance, and deliverable quality.
  • Partner with logistics analysts, system developers, operational leaders, and Government stakeholders to define analytical requirements and integrate relevant data sources.
  • Establish and maintain data-quality checks to ensure analytical products are accurate, traceable, reproducible, and suitable for Government use.
  • Evaluate the completeness, consistency, validity, and reliability of data used in analytical products.
  • Present analytical findings and recommendations to technical and nontechnical audiences.
  • Support recurring performance reviews, trend analyses, briefings, special studies, and corrective-action efforts.
  • Translate complex analytical findings into clear operational recommendations and decision-support products.
  • Maintain appropriate documentation of analytical methods, source data, assumptions, limitations, and results.

MINIMUM QUALIFICATIONS
Education:
  • Bachelor's degree in Data Science, Operations Research, Statistics, Analytics, or a closely related field.

Experience:
  • At least seven years of professional analytics experience.
  • At least three years of supply-chain experience.
  • Demonstrated experience leading advanced analytics, predictive modeling, or data-science projects.
  • Demonstrated experience mentoring or directing junior data analysts.
  • Must posses a Secret government clearance.

REQUIRED SKILLS AND COMPETENCIES
  • Expertise in data mining, statistical modeling, machine learning, and predictive analytics.
  • Proficiency with Tableau and/or Power BI.
  • Strong data-visualization, analytical-writing, presentation, and communication skills.
  • Ability to validate analytical methods, evaluate model performance, and explain analytical results to technical and nontechnical audiences.
  • Ability to manage analytical quality and translate complex findings into practical operational recommendations.
  • Strong proficiency with data-analysis tools, databases, spreadsheets, and approved analytical software.
  • Knowledge of supply-chain performance measures, operational analytics, and data-quality management.

Travel/Work Requirements:
  • Work is primarily performed at Redstone Arsenal, Alabama.
  • The position may require meetings or coordination in Government office, technical, analytical, or operational environments.
  • Must be able to work the schedule necessary to support contract performance and respond to mission priorities.

Benefits:
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Basic Life & AD&D
  • Short Term Disability
  • Long Term Disability
  • 401(k) Retirement Plan
  • 401(k) Employee Matching, up to 6% with immediate vestment
  • Employee Assistance Program
  • Paid Time Off + all Federal Holidays
  • Tuition Assistance/certifications for job related education

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