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Insurance Data Analyst Jobs in Missouri (NOW HIRING)

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... insurance, and paid time off. Stifel is an Equal Opportunity Employer.

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... life insurance, and paid time off. Stifel is an Equal Opportunity Employer. Employment Type ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... insurance, and paid time off. Stifel is an Equal Opportunity Employer.

Data Analyst II

Cassville, MO ยท 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 ยท 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

Noel, MO ยท 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

Cassville, MO ยท 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 ...

(USA) Principal, Data Analyst

Anderson, MO ยท 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 ...

(USA) Principal, Data Analyst

Noel, MO ยท 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 ...

(USA) Senior, Data Analyst

Anderson, MO ยท On-site

$80K - $155K/yr

Walmart is seeking a Senior Data Analyst to support business decision-making through advanced data ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Cassville, MO ยท On-site

$80K - $155K/yr

Walmart is seeking a Senior Data Analyst to support business decision-making through advanced data ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Noel, MO ยท On-site

$80K - $155K/yr

Walmart is seeking a Senior Data Analyst to support business decision-making through advanced data ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Perform operations to prepare data for analysis (e.g., data cleansing, data integration, data ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

The Data Visualization Analyst is a specialist dedicated to transforming complex, raw data into ... Insurance Coverage (medical, dental, vision, life, and disability) * 401(k) retirement plan, with ...

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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 Aug 6, 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.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $85,000 per year, depending on experience, location, and certifications. Entry-level roles may start lower, while experienced analysts with advanced skills in data visualization and statistical tools can earn higher salaries.

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.

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 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 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 77% In-person, 6% Hybrid, and 17% 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 โ€ข On-site

Contractor

Re-posted 10 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