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Insurance Data Analyst Jobs in Arizona (NOW HIRING)

SteerBridge

Data Analyst

Yuma, AZ · On-site

$81K - $95K/yr

Data Analysis & Insights * Analyze large, relational datasets to identify trends, inefficiencies ... Vision insurance * Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

Role - Data Analyst Experience Required - 8+ Years Must Have Technical/Functional Skills SQL , Data ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

SteerBridge

Data Analyst

Yuma, AZ

Data Analysis & Insights * Analyze large, relational datasets to identify trends, inefficiencies ... Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid Federal Holidays ...

SteerBridge

Data Analyst

Yuma, AZ

$81K - $95K/yr

Data Analysis & Insights * Analyze large, relational datasets to identify trends, inefficiencies ... Vision insurance * Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid ...

Collabera

Data Analyst

Phoenix, AZ

... insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Tasks and ... Performs data analytics on various processes and projects to measure post-implementation ...

U-Haul

Data Analyst

Tempe, AZ

Data Analysis and Reporting * Collect, clean, and organize data from various sources to ensure ... Life insurance * Critical Illness/Group Accident * 24-hour physician available for kids

U-Haul

Data Analyst

Tempe, AZ · On-site

Data Analysis and Reporting * Collect, clean, and organize data from various sources to ensure ... Life insurance * Critical Illness/Group Accident * 24-hour physician available for kids

University of Arizona

Senior Data Analyst

Tucson, AZ · On-site

$81K - $102K/yr

Senior Data Analyst Posting Number req26329 Department Univ Analytics and Inst Rsch Department ... Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and ...

U-Haul

Contact Center Data Analyst

Phoenix, AZ

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products ... Medical insurance * Prescription drug plans * Dental & Vision plan with hearing care discounts

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products ... Medical insurance * Prescription drug plans * Dental & Vision plan with hearing care discounts

Walmart

(USA) Senior, Data Analyst

Avondale, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Senior, Data Analyst

Sun City, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Senior, Data Analyst

Anthem, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Senior, Data Analyst

Wickenburg, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Senior, Data Analyst

Guadalupe, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Senior, Data Analyst

Tempe, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Senior, Data Analyst

Maricopa, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Senior, Data Analyst

El Mirage, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Senior, Data Analyst

Glendale, AZ · On-site

$80K - $155K/yr

What you'll do... Senior Data Analyst Req ID: R-2469358 (USA) Senior, Data Analyst Location ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

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Showing results 1-20

All JobsInsurance Data Analyst JobsInsurance Data Analyst Jobs in Arizona

Insurance Data Analyst information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do insurance data analyst jobs pay per year?

As of Jun 28, 2026, the average yearly pay for insurance data analyst in Arizona is $77,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What does a data analyst do at an insurance company?

An insurance data analyst collects, analyzes, and interprets data related to policies, claims, and customer information to identify trends and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, pricing, and risk assessment processes.

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.

Do insurance companies need a data analyst?

Insurance companies rely on data analysts to interpret large datasets, assess risk, and support decision-making processes. Data analysts use tools like SQL and Excel, and often require knowledge of insurance industry metrics to improve underwriting, claims processing, and customer insights.

What are the key skills and qualifications needed to thrive as an Insurance Data Analyst, and why are they important?

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 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.

Is AI replacing data analysts?

AI is transforming the role of insurance data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can handle large datasets efficiently, human expertise remains essential for interpreting results, ensuring data quality, and applying domain knowledge. The role continues to evolve with skills in data management, programming, and AI tools being increasingly valuable.

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience in insurance or related fields can also be valuable in this career shift.
What are popular job titles related to Insurance Data Analyst jobs in Arizona? For Insurance Data Analyst jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analyst jobs in Arizona look for? The top searched job categories for Insurance Data Analyst jobs in Arizona are:
What cities in Arizona are hiring for Insurance Data Analyst jobs? Cities in Arizona with the most Insurance Data Analyst job openings:
Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in Arizona as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,011 per year, or $37 per hour.

Data Analyst

SteerBridge

Yuma, AZ • On-site

$81K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 hours ago

Job description

SteerBridge Strategies is a modern technology company delivering innovative, mission-focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial-grade capabilities that accelerate operational effectiveness and drive measurable mission success.
At the core of SteerBridge is our people-especially the veterans whose leadership, problem-solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.
Position Overview
SteerBridge Strategies is seeking a highly skilled Data Analyst to support mission-critical operations in a secure, controlled data environment. This role focuses on advanced data analysis, automation, and reporting to drive informed decision-making at leadership levels. The ideal candidate will have strong SQL expertise, experience working with large datasets, and the ability to translate complex data into actionable insights.
Key Responsibilities
  • Data Analysis & Insights
  • Analyze large, relational datasets to identify trends, inefficiencies, and performance gaps
  • Translate raw data into actionable insights to support leadership decision-making
  • Identify degraders, shortages, and operational inefficiencies
  • SQL Development
  • Write clean, efficient, and production-ready SQL (Amazon Redshift, Oracle SQL Developer)
  • Utilize advanced SQL techniques (CTEs, window functions, complex joins, aggregations)
  • Optimize queries for performance and scalability
  • Troubleshoot and resolve data discrepancies across multiple data sources
  • Data Quality & Validation
  • Implement automated validation checks (row counts, duplicates, completeness, integrity)
  • Ensure accuracy and consistency of data before reporting
  • Identify and resolve root causes of data inconsistencies
  • Automation & ETL Processes
  • Support and maintain ETL pipelines and data workflows
  • Build automated processes for data ingestion, transformation, and validation
  • Implement scheduling/orchestration tools (cron, AWS services, Airflow, or equivalent)
  • Ensure processes run without manual intervention
  • Scripting & Process Automation
  • Develop scripts using Python, Bash, or PowerShell
  • Automate data pulls, file processing, and pipeline validation
  • Integrate scripts into end-to-end workflows
  • Reporting & Dashboards
  • Develop and maintain automated reports and dashboards
  • Support daily, weekly, and monthly reporting requirements
  • Ensure reports are accurate, consistent, and delivered on schedule

Required Qualifications
Education & Experience
  • U.S. Citizenship required with the ability to obtain a Secret Clearance
  • Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science, or related)
  • Minimum 3+ years of professional experience in data analysis or a related field
  • Strong experience working in sensitive or controlled data environments
  • Advanced SQL proficiency (Amazon Redshift, Oracle preferred)
  • Experience with large, relational datasets and data structures
  • Strong understanding of joins, aggregations, and query optimization
  • Experience troubleshooting data discrepancies and ensuring data integrity
  • Familiarity with ETL processes and data pipelines
  • Experience building recurring reports and dashboards
  • Strong attention to detail and data validation skills

Interpersonal & Professional Skills
  • Strong communication skills with the ability to translate technical concepts for non-technical and operational stakeholders.
  • Ability to develop relationships with collaborators, program providers, community partners, and military personnel.
  • Able to successfully prioritize and manage multiple critical projects simultaneously with a high degree of accuracy.
  • Experience working on applied data projects involving diverse organizations to collect, analyze, and interpret data.

Preferred Qualifications
  • 3-6 years of post-college professional experience
  • Experience with predictive analytics or modeling
  • Proficiency in Python or R for data analysis
  • Experience with automation tools and scheduling frameworks
  • Experience supporting executive-level decision-making

Core Competencies
Analytical Thinking
Collaboration & Teamwork
Attention to Data Quality
Problem Solving
Ownership & Accountability
Continuous Learning
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life Insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays

$81,000 - $95,000 a year
SteerBridge Strategies is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.
We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.
If you would like information about how your application is processed, please contact us.

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