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Insurance Data Analyst Jobs in Oklahoma (NOW HIRING)

Senior Financial Data Analyst

Tulsa, OK · On-site

$78K - $97K/yr

R10094585 Senior Financial Data Analyst (Open) Location: Tulsa, OK - W. 7th St. - Management ... Insurance. * Support for Parents: We offer up to 14-week paid child birth benefits to support ...

Senior Financial Data Analyst

Tulsa, OK

$78K - $97K/yr

R10094585 Senior Financial Data Analyst (Open) Location: Tulsa, OK - W. 7th St. - Management ... Insurance. * Support for Parents: We offer up to 14-week paid child birth benefits to support ...

Business Analyst

Oklahoma City, OK · On-site +1

$40 - $45/hr

Data / Business Analyst Position Type: Contract Location: Oklahoma City, OK Pay Rate Range: $40-45/hourly Benefits: You are eligible for medical, dental, vision insurance benefits, 401K Are you ...

Business Analyst

Oklahoma City, OK · On-site

$40 - $45/hr

Data / Business Analyst Position Type: Contract Location: Oklahoma City, OK Pay Rate Range: $40-45/hourly Benefits: You are eligible for medical, dental, vision insurance benefits, 401K Are you ...

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Showing results 1-20

Insurance Data Analyst information

See Oklahoma salary details

$31.4K

$76.3K

$125.6K

How much do insurance data analyst jobs pay per year?

As of Jul 18, 2026, the average yearly pay for insurance data analyst in Oklahoma is $76,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,600.00 per year, depending on experience, location, and employer.

How much does an insurance analyst make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with advanced skills or specialized knowledge can earn higher salaries. They often work with data analysis tools like Excel, SQL, and statistical software in an office 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.

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 industry knowledge and analytical skills to improve underwriting, claims management, and pricing strategies.

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.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making for insurance policies and claims. They use tools like Excel, SQL, and data visualization software to interpret data and improve underwriting, pricing, and fraud detection processes.

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in their careers by developing 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 path.
Infographic showing various Insurance Data Analyst job openings in Oklahoma as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 85% Full Time, 7% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $76,304 per year, or $36.7 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

SUMMARY

The Data Analyst is responsible for transforming operational and financial data into accurate, reliable, and actionable insights to support executive decision-making and organizational performance. This role focuses on building and maintaining dashboards, validating and governing data, developing standardized KPIs, and producing recurring executive reporting. The Data Analyst partners closely with business leaders, finance, and operational teams to ensure data accuracy, consistency, and transparency across the organization.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

  • Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions
  • Completes data collection and analysis and reporting processes related to compliance, certification, quality assurance, and other agency objectives as assigned
  • Build, maintain, and enhance interactive dashboards and reports to support operational, financial, and strategic decision-making.
  • Develop, document, and maintain KPI definitions, calculations, and reporting logic in alignment with established organizational reporting standards.
  • Produce recurring executive and leadership reporting, including monthly, quarterly, and ad hoc reports.Gathering critical information from meetings with various stakeholders and develop reports to track trends across the agency as well as trends at individual groups
  • Validate data accuracy across multiple source systems and troubleshoot discrepancies.
  • Design and maintain repeatable reporting pipelines and automate recurring reports.
  • Analyze operational and financial data including budgeting, forecasting, and cost analysis.
  • Support data quality initiatives and identify process improvements related to data collection and usage.
  • Maintain documentation for dashboards, datasets, data sources, and reporting logic.
  • Collaborate with stakeholders to translate business questions into analytical requirements.
  • Support established data governance, reporting standardization, and continuous data quality improvement initiatives.
  • Assist leadership and cross-functional teams with special analytical projects as needed.
  • Ensuring solutions meet business needs and requirements in accordance with CARF standards 
  • Assists Management Team in agency initiatives
  • Attends staff meetings, workshops, and seminars to learn agency policies, rules, regulations, and procedures; participates in ongoing in-service training as well as pertinent external training.
  • Performs other duties as assigned

QUALIFICATIONS

  • Master’s in Business or Bachelor’s degree in Business (or related field) with 5+ years of experience equivalent preferred
  • Strong financial background required, including experience with financial analysis, budgeting, forecasting, or similar functions
  • Experience writing SQL queries required
  • Experience with Sisense dashboard development preferred
  • Proficiency with Power BI (preferred) and data visualization best practices
  • Experience working with Python (preferred) for data transformation, automation, or analytics
  • Experience in the Healthcare industry preferred
  • Exceptional analytical and conceptual thinking skills to draw business-relevant conclusions and in data visualization techniques and tools 
  • Excellent communication and interpersonal skills 
  • Superior presentation and negotiation skills
  • Competency in Microsoft applications including Word, Excel, and Outlook
  • Commitment to the mission of Red Rock BHS

PHYSICAL REQUIREMENTS

  • Must have the ability to stand or sit for long periods of time.
  • Ability to travel approximately 25% of the time.
  • Ability to use telephone, PC, fax machine, copy machine, and printer.

HOW WE TAKE CARE OF YOU!

  • We pay a generous portion of your Health Insurance
  • Low-cost Dental and Vision Insurance
  • Retirement Plan with employer contributions equal to 5% of annual salary
  • Student Loan Repayment options
  • No cost Employee Assistance Plan
  • 3 Weeks Paid Time-Off (increases annually between years 2-10)
  • 9 Paid Holidays
  • 1 Floating Holiday to use at your discretion.
  • 4 Rest and Relaxation days
  • 3 days of Education Leave
  • 4 hours of Volunteer Leave
  • Eligible for Pay Increases and Bonuses annually
  • Employer Paid Long-Term Disability and Life Insurance
  • Hybrid work options at some locations

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

Red Rock Behavioral Health Services does not discriminate based on race, color, national origin, religion, gender, gender identity, age, marital/familial status, sexual orientation, or disability.