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Insurance Data Analytics Jobs in Alabama (NOW HIRING)

... data analysis tools (Excel, Python/pandas, SQL, Snowflake, or equivalent) Experience producing ... Vision Insurance Company paid Short-Term and Long-Term Disability Company paid Life and AD&D ...

... in data analysis tools (Excel, Python/pandas, SQL, Snowflake, or equivalent) · Experience ... Insurance · Company paid Short-Term and Long-Term Disability · Company paid Life and AD&D ...

... in data analysis tools (Excel, Python/pandas, SQL, Snowflake, or equivalent) • Experience ... Insurance • 401k with competitive matching and vesting schedule • Continuing education ...

Job Title Commercial Insurance Analytics Consultant - Remote Requisition Number R7735 Commercial ... Partners closely with IT, data, and digital teams to define business requirements, influence data ...

Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

NLP, Visual Analytics, Development Methodologies * Others: Apache Spark, Databricks, Airflow Why ... Dental Insurance includes orthodontics coverage * Life Insurance * Accidental Death and ...

NLP, Visual Analytics, Development Methodologies * Others: Apache Spark, Databricks, Airflow Why ... Dental Insurance includes orthodontics coverage * Life Insurance * Accidental Death and ...

NLP, Visual Analytics, Development Methodologies * Others: Apache Spark, Databricks, Airflow Why ... Dental Insurance includes orthodontics coverage * Life Insurance * Accidental Death and ...

NLP, Visual Analytics, Development Methodologies * Others: Apache Spark, Databricks, Airflow Why ... Dental Insurance includes orthodontics coverage * Life Insurance * Accidental Death and ...

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Build infrastructure to support advanced analytics and future data science initiatives ... Medical, dental, and vision insurance to keep you healthy. * Paid Time Off (PTO) : Enjoy generous ...

Data Engineer

Birmingham, AL · On-site +1

$107K - $128K/yr

Build infrastructure to support advanced analytics and future data science initiatives ... Medical, dental, and vision insurance to keep you healthy. * Paid Time Off (PTO) : Enjoy generous ...

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Insurance Data Analytics information

See Alabama salary details

$22

$49

$85

How much do insurance data analytics jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for insurance data analytics in Alabama is $49.62, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $56.20 per hour, depending on experience, location, and employer.

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 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 most commonly searched types of Insurance Data Analytics jobs in Alabama? The most popular types of Insurance Data Analytics jobs in Alabama are:
Infographic showing various Insurance Data Analytics job openings in Alabama as of May 2026, with employment types broken down into 91% Full Time, 5% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,213 per year, or $49.6 per hour.
Assistant / Associate Professor in Geospatial Data Analytics

Assistant / Associate Professor in Geospatial Data Analytics

Alabama Agricultural and Mechanical University

Normal, AL • On-site

$71K - $84K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Salary: $71,650.00 - $84,063.00 Annually
Location : Normal
Job Type: Full-Time
Job Number: 202300710
Department: Natural Resources & Environmental Sciences
Opening Date: 11/25/2025
Description
Summary:
The Department of Natural Resources and Environmental Sciences (NRES) in the College of Agricultural, Life and Natural Sciences (CALNS) at Alabama A&M University is seeking faculty member in the field of Geospatial Data Analytics. This position is a nine-month appointment with 50% Teaching and 50% Research, with an additional three-month summer research employment. Initial research funding will be available. The rank and tenure-status of the position is negotiable based on qualifications.
The Department of Natural Resources and Environmental Sciences (NRES) includes undergraduate programs in Plant Biotechnology, Environmental Science, and Forestry. Graduate programs include Ph.D. and M.S. degrees in Plant and Soil Science.
Examples of Duties
Essential Duties and Responsibilities:
  • Teach undergraduate courses in geospatial analysis (remote sensing and GIS), hydrology, and data modeling
  • Teach graduate courses in advanced geospatial analysis, quantitative ecological assessments in natural resources usingremote sensing and modeling, or a related area
  • Serve as advisor to both undergraduate and graduate students.
  • Lead and be a part of a nationally recognized, externally funded interdisciplinary research program that advances knowledge about geospatial analysis, remote sensing, and landscape ecology.
  • Working collaboratively with other faculty members and representatives of private, governmental, and non-governmental organizations.
  • Publish in leading refereed journals and successfully obtain extramural funding.
  • Purse informal extension and public service activities, such as interacting with Cooperative Extension staff and government agency personnel.
  • Serve on campus committees and professional organizations
    • Evidence of ability to secure extramural funding from public and/or private sources.
    • Evidence of interest and ability to form collaborative partnerships - within and across university disciplines, across national/international institutions, and within private industry.
    • Evidence of ability and willingness to effectively advise and mentor students from a variety of cultural and socioeconomic backgrounds at the undergraduate and/or graduatelevels.
    • Other duties as assigned.

Typical Qualifications
Minimum Position Requirements (including certifications, licenses, etc.):
  • An earned Ph.D.in a geospatial analysis and remote sensing (e.g., LiDAR, satellite imagery, and photogrammetry) as they apply to natural resource management, landscape ecology, earth sciences, or closely related field.
  • Proficiency with spatial analysis (e.g., ArcGIS), image analysis (e.g., ERDAS Imagine, ENVI, and TerrSet) and statistical software.
  • Teaching experience in GIS and remote sensing, and a demonstrated record establishing a strong record of extramural grant awards, refereed journal publications, and professional leadership at regional, national, or international meetings is preferred
  • Evidence of scholarly productivity and creativity, such as refereed publications, presentations in professional societies ,etc.

Supplemental Information
Knowledge, Skills, and Abilities:
  • Demonstrated excellence in teaching relevant undergraduate and graduatecourses.
  • Ability to design, analyze, and interpret independent research or results fromcreative activities.
  • Excellence in written and oralcommunication.
  • Evidence of interest in developing extramural research and teaching proposals.
  • Demonstrated ability to publish in peer-reviewed journals.
  • Evidence of collaborative efforts in research.

We offer a complete benefits package to full-time employees including health care, dental, vision, retirement, deferred compensation plans, flexible spending accounts, life insurance, short and long-term disability, holidays, vacation, and sick leave.
To learn more details, visit our benefits page at
01
Do you have an earned Ph.D.in a geospatial analysis and remote sensing (e.g., LiDAR, satellite imagery, and photogrammetry) as they apply to natural resource management, landscape ecology, earth sciences, or closely related field?
  • Yes
  • No

02
Are you proficient with spatial analysis (e.g., ArcGIS), image analysis (e.g., ERDAS Imagine, ENVI, and TerrSet) and statistical software?
  • Yes
  • No

03
Do you have evidence of scholarly productivity and creativity, such as refereed publications, presentations in professional societies etc?
  • Yes
  • No

Required Question