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Insurance Data Analyst Jobs in Missouri (NOW HIRING)

Data Analyst

California, MO · On-site

$82.92 - $89.25/hr

The Data Analyst works with the Chief Strategy Officer, two strategy directors, and a data ... We offer a comprehensive benefits package that includes medical, dental, and vision insurance; paid ...

Data Analyst II

Noel, MO · On-site

$70K - $130K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Data Analyst II

Cassville, MO · On-site

$70K - $130K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Data Analyst II

Anderson, MO · On-site

$70K - $130K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

(USA) Principal, Data Analyst

Noel, MO · On-site

$90K - $180K/yr

As a Principal Data Analyst at Walmart, you will lead the formulation and resolution of complex ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

As a Principal Data Analyst at Walmart, you will lead the formulation and resolution of complex ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

A minimum of 1-2 years' experience in the insurance industry, specifically in employee welfare benefits or pharmacy data analytics * Knowledge of the Pharmacy Benefit Management (PBM) industry ...

As a Principal Data Analyst at Walmart, you will lead the formulation and resolution of complex ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

The (USA) Principal, Data Analyst leads advanced data initiatives by translating complex business ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Principal, Data Analyst

Noel, MO · On-site

$90K - $180K/yr

The (USA) Principal, Data Analyst leads advanced data initiatives by translating complex business ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

The (USA) Principal, Data Analyst leads advanced data initiatives by translating complex business ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

... pharmacy data analytics Knowledge of the Pharmacy Benefit Management (PBM) industry preferred ... About Lockton Lockton is the largest privately held independent insurance brokerage in the world.

(USA) Senior, Data Analyst

Anderson, MO · On-site

$80K - $155K/yr

The Senior Data Analyst will leverage advanced data management, analysis, and visualization ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Noel, MO · On-site

$80K - $155K/yr

The Senior Data Analyst will leverage advanced data management, analysis, and visualization ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Cassville, MO · On-site

$80K - $155K/yr

The Senior Data Analyst will leverage advanced data management, analysis, and visualization ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Noel, MO · On-site

$80K - $155K/yr

Join Walmart as a Senior Data Analyst and leverage your expertise in data analysis, visualization ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

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Showing results 1-20

Insurance Data Analyst information

See Missouri salary details

$31.9K

$77.5K

$127.6K

How much do insurance data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for insurance data analyst in Missouri is $77,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 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.

What are popular job titles related to Insurance Data Analyst jobs in Missouri?

For Insurance Data Analyst jobs in Missouri, the most frequently searched job titles are:

Infographic showing various Insurance Data Analyst job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $77,517 per year, or $37.3 per hour.

Data Analyst

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Re-posted 12 days ago


Job description

Overview:
Job Title: Data Analyst
Job Location: Remote
Interview: Virtual
Job Duration: 6 Months Contract
Overview:
We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable, and structured for downstream analytics and reporting.
Note: This is not a Data Engineer role. Candidates must have a strong analytics and data validation background.
Key Responsibilities
  • Perform data validation and quality checks using SQL and Python
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights
  • Analyze data structures, relationships, and lineage to ensure data integrity
  • Ensure data is usable, consistent, and reliable for analytics, BI, and business teams
  • Support data manipulation, reporting, and downstream data consumption
  • Collaborate with stakeholders to understand data requirements and usage

Required Qualifications
  • Bachelor's degree (Master's or PhD preferred)
  • 5+ years of relevant Data Analyst experience
  • Strong hands-on experience with SQL and Python (data validation, not just querying)
  • Deep understanding of data structures and data lifecycle, including:
    • Data shape, relationships, and storage
    • Data quality, consistency, and lineage
    • Ensuring data reliability for analytics and reporting
  • Experience with exploratory data analysis (EDA)
  • Experience with data manipulation and reporting

Preferred Qualifications
  • Experience with BI tools (Power BI preferred)
  • Healthcare domain experience (payer/provider, clinical, insurance, or operational data)
  • Experience with Databricks and/or PySpark

Skills:
Data Analyst,pYTHON