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Insurance Data Analyst Jobs in Missouri (NOW HIRING)

RADaR

Data Visualization Analyst

Kansas City, MO · Hybrid

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 ...

RADaR

Data Visualization Analyst

Saint Louis, MO · Hybrid

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 ...

Washington University of St. Louis

$65K - $112K/yr

Performs data analysis and/or data management using the latest and best methodologies as ... Competitive health insurance packages with priority appointments and lower copays/coinsurance.

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All JobsInsurance Data Analyst JobsInsurance Data Analyst Jobs in Missouri

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. Professionals with advanced skills in data analysis tools like SQL, Excel, or Python may earn higher salaries, especially in larger companies or competitive markets.

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:
What job categories do people searching Insurance Data Analyst jobs in Missouri look for? The top searched job categories for Insurance Data Analyst jobs in Missouri are:
Insurance Data Analyst jobs near you
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 Visualization Analyst

RADaR

Kansas City, MO • Hybrid

Full-time

Re-posted 23 days ago

Job description

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

The Data Visualization Analyst is a specialist dedicated to transforming complex, raw data into clear, actionable, and visually compelling narratives. This role is centered on Tableau mastery, requiring an individual who can not only build interactive dashboards but also architect the data models that power them. The Analyst will work closely with client strategists to define KPIs, identify trends, and communicate insights that drive strategic decision-making. While the core focus is technical visualization, an understanding of marketing and media metrics is highly valued to support our agency's data storytelling efforts.

Essential Duties and Responsibilities (Other duties may be assigned)

  • Expert Dashboard Development: Lead the design, creation, and maintenance of interactive, user-friendly, and high-impact reports in Tableau, ensuring all visualizations meet brand standards and user needs.
  • Data Analysis & Modeling: Clean, organize, and analyze datasets from disparate sources to identify critical trends and patterns. Use SQL to extract and manipulate data for efficient reporting.
  • Strategic Data Storytelling: Translate technical findings into visual formats (graphs, charts, heatmaps) that provide clear, actionable recommendations for executive and technical stakeholders.
  • Requirement Gathering: Act as a bridge between technical teams and business units, working directly with stakeholders to define reporting requirements and establish relevant Key Performance Indicators (KPIs).
  • Process Automation: Identify and implement opportunities for automation within the data reporting lifecycle to increase efficiency and reduce manual data handling.
  • Quality Assurance: Perform rigorous data validation and testing to ensure the accuracy and integrity of all dashboards and reports.
  • Ad-Hoc Reporting: Provide rapid-response data analysis and visualization to support urgent business questions or client requests.

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Professional Experience: 2–5 years of hands-on experience in data modeling and professional data visualization.
  • Tableau Mastery: Advanced proficiency is mandatory. Candidates must demonstrate deep experience in building complex workbooks, using Level of Detail (LOD) expressions, and optimizing dashboard performance.
  • Analytical Thinking: A proven ability to interpret large, complex datasets and identify the "so what" behind the numbers.
  • Communication: Exceptional verbal and written skills, with a specific talent for presenting data to non-technical audiences.
Preferred Skills
  • Data Wrangling: Experience with SQL for data extraction, manipulation, and join logic.
  • Marketing & Media Experience: Familiarity with marketing analytics (e.g., Google Analytics, Meta Ads, Search metrics) and media agency workflows.
  • Advanced Excel: Proficiency in complex formulas, PivotTables, and Power Query.
  • Design Sense: A strong eye for UI/UX principles as they apply to dashboard layout and color theory.

Education

  • Bachelor's Degree: Marketing Analytics, Business Analytics, or similar field.

Total Perks Package

  • The chance to be a part of a growing company and the next success story
  • Amazing opportunities for career development
  • Recognition programs
  • Employee referral bonus
  • Hybrid work schedule; 3 days in the office, 2 days working from home
  • Fun and collaborative work environment
  • Casual dress code
  • Insurance Coverage (medical, dental, vision, life, and disability)
  • 401(k) retirement plan, with employer 4% match
  • Work/life benefits, including mental health and wellbeing support
  • Flexible Time Off Policy
  • Paid holidays, including agency soft closing Christmas Eve-New Year's Day
  • Paid leave options, including sick leave, medical leave for self and family, and parental leave

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