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Insurance Data Analytics Jobs in Alabama (NOW HIRING)

kgs

Data Engineer/Analyst

Huntsville, AL · On-site

... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ... Troubleshoot data pipelines, analytics workflows, dashboards, and platform issues, including timely ...

Sentara

Senior Healthcare Data Analyst

Centre, AL · Remote

$80K - $133K/yr

Promotes self-service analytics for customer adoption, understanding and use of data. Supports ... Life Insurance 401k/403B with Employer Match Tuition Assistance - $5,250/year and discounted ...

Sentara

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

Promotes self-service analytics for customer adoption, understanding and use of data. Supports ... Life Insurance 401k/403B with Employer Match Tuition Assistance - 5,250/year and discounted ...

B&A

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 ...

Bart & Associates

Senior Data Analyst

Huntsville, AL · 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 ...

Bart and Associates, Inc

Senior Data Analyst

Huntsville, AL · 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 ...

Guidehouse

Data Scientist

Huntsville, AL · On-site

Develop proofofconcepts and analytic solutions to address business problems. * Support ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse

Data Scientist

Huntsville, AL · On-site

Develop proof-of-concepts and analytic solutions to address business problems. * Support ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Interclypse Inc.

Data Scientist

Huntsville, AL · On-site

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

CSAA

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 ...

Interclypse Inc.

Data Scientist

Huntsville, AL · On-site

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

Interclypse, Inc.

Data Scientist

Huntsville, AL

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

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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 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.

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 collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

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:
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 July 2026, with employment types broken down into 1% Internship, 83% Full Time, 10% Part Time, and 6% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Data Engineer (Python Analytical Environment)

Data Engineer (Python Analytical Environment)

PNC Bank

Birmingham, AL • Hybrid

$86K - $172K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

80th of 149 rated banks

Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success.
As a Data Engineer within PNC's Data Analytics Team, you will be based in Cleveland OH, Pittsburgh PA, Birmingham AL or Dallas TX.
- In-office expectations: 5 days-a-week.
- Should be comfortable with a rotating on-call schedule.
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
Skills required:
Python Programing, Big Data Concepts, Hadoop/Hive queries, Impala, REST API, Linux, Shell Scripting, Communication Skills, Troubleshooting, Problem-solving, Analytics.
Skills (Good-to-have):
Azure Cloud, Power BI.
Python Analytical Environment (PAE) highly preferred
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions.
  • Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development.
  • Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow.
  • Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability.
  • Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Microsoft Power Business Intelligence (BI), Problem Solving, Windows Azure CloudCompetenciesApplication Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life CycleWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $86,250.00 - $172,500.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 06/12/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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