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Insurance Data Analyst Jobs in Alabama (NOW HIRING)

This role focuses on requirements data management, tool configuration, user support, custom script ... insurance; paid time off; 401(k) retirement plan; Employee Stock Ownership Plan (ESOP); and ...

Responsible for coordinating, analyzing, and submitting regulatory data requests from state insurance departments, the National Association of Insurance Commissioners (NAIC), and other regulatory ...

Insurance Analyst

Mobile, AL · On-site

$19.75 - $27/hr

Insurance Analyst Job Code IA.124.001 FLSA Status Non Exempt Job Family Riverchase Billing Cost ... and data entry to ensure accurate reimbursement, compliance with healthcare regulations, and ...

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Showing results 41-60

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 Aug 18, 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.

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 are the key skills and qualifications needed to thrive as an insurance data analyst?

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 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.

How much does an insurance data analyst for an insurance company make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts with advanced skills or certifications can earn higher salaries. The role often requires proficiency in data analysis tools like SQL and Excel, and knowledge of insurance industry data.
Infographic showing various Insurance Data Analyst job openings in Alabama as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 71% In-person, 6% Hybrid, and 23% Remote job distribution, with an average salary of $74,904 per year, or $36 per hour.

Project Controls Data Analyst III

Quanta Services

Birmingham, AL

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Quanta Services rating

7.3

Company rating: 7.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

44th of 80 rated construction


Job description

Quanta Power Solutions brings together the industry-leading capabilities and resources of Quanta's operating companies to deliver complete EPC solutions. Our integrated approach spans power generation, battery energy storage, renewables, transmission, substation, and underground infrastructure — from concept to commissioning, we execute complex power infrastructure projects with the speed, certainty, and operational excellence our customers depend on.

At Quanta Power Solutions, we are driven by a culture of safety, integrity, and disciplined execution — and we're building a team that shares that commitment.


Quanta Power Solutions is seeking an experienced Project Controls Data Analyst III to support project controls through advanced data analytics, business intelligence, and performance reporting. This role develops dashboards, analyzes cost and schedule performance, supports risk and change management reporting, and delivers actionable insights for large-scale EPC projects.

Working closely with project managers, finance, and project controls teams, the Data Analyst III ensures data integrity, improves reporting processes, and helps drive informed business decisions across the project lifecycle while providing technical guidance to junior analysts. 

 

  • Independently produce complex analytics and reporting across dashboards/BI, progress & performance, risk, and change management
  • Build enterprise-grade Power BI reports and robust DAX/Power Query models; validate row-level security and refresh reliability
  • Own the monthly earned-value calculation and variance analysis for assigned projects; prepare root-cause and corrective-action narrative
  • Lead risk-register maintenance and support quantitative (Monte Carlo) risk inputs; monitor contingency drawdown and flag acceleration
  • Administer the PCO/PDN log and change reporting for assigned projects; classify changes and produce the change order report
  • Own delivery of assigned sections of the monthly project controls package end to end, including quality assurance before publication
  • Reconcile published outputs to JDE within tolerance; investigate and resolve non-routine discrepancies
  • Translate stakeholder requirements (PM, Finance, Controls leadership) into governed dashboard and report specifications
  • Provide technical guidance and informal mentoring to DA 1 and DA 2 staff; review their work for accuracy
  • Contribute to KPI Dictionary maintenance by proposing and documenting metric definitions and thresholds

Education 

  • Bachelor's degree in Engineering, Construction Management, Computer Science, Information Systems, Business Analytics, or a related field 
  • Microsoft PL-300 certification preferred; AACE (CCP/CEP) or PMI (PMI-SP/PMP) certification a plus 

Experience 

  • 5-8 years of progressive experience in BI/data analytics or project controls on capital projects 
  • Demonstrated independent ownership of production reporting or EVM on EPC/construction projects 
  • Experience across multiple project controls domains (BI, EVM, risk, or change) preferred 
  • Experience on power generation, oil & gas, or heavy industrial EPC projects preferred 

Technical Skills 

  • Microsoft Power BI - advanced: composite models, incremental refresh, deployment basics, performance tuning 
  • DAX - advanced: iterator functions, context transition, time intelligence 
  • Power Query / M - advanced: parameterized queries and transformation pipelines 
  • SQL - intermediate to advanced: views, query optimization for validation 
  • EcoSys - advanced: EVM metric calculation, EAC/ETC methodology 
  • Oracle Primavera P6 - advanced: progress, resource, and baseline data integration 
  • JD Edwards (JDE) - strong understanding of cost, WBS, commitments, and actuals 
  • Microsoft Excel - expert: EVM models, variance and sensitivity analysis 
  • Working knowledge of AACE EVM standards and QPSG KPI governance 
  • Power Query, Python, and Databricks - experience with: applies for data transformation, analysis, and reporting 

Preferred Qualifications 

  • AACE (CCP, CEP, CCEP) or PMI (PMI-SP, PMP) certification 
  • Exposure to Monte Carlo tools (@Risk, Crystal Ball, Primavera Risk Analysis) 
  • Experience with Azure Data Services / Microsoft Fabric for enterprise analytics 
  • Experience on SC/CC power generation EPC projects (CTG, HRSG, STG, ACC, GSU) 

  • Competitive Compensation  
  • Weekly Pay  
  • 401(k) Retirement Plan  
  • Holiday Pay  
  • Paid Time Off (PTO)  
  • Comprehensive Health Coverage  
  • Pet Insurance  
  • Employee Assistance Program (EAP)  
  • Professional Development Opportunities  
  • Tuition Assistance  
  • Employee Discount Program 

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law.
We are an Equal Opportunity Employer, including disability and protected veteran status.
We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes or to perform the essential functions of a position, please contact us the Company’s Human Resources department.


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