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Insurance Data Analyst Jobs in Oklahoma (NOW HIRING)

HUB is a global insurance and employee benefits broker, providing a boundaryless array of business ... Cross-Sell Data Analyst The cross-sell data analyst is responsible for identifying cross-sell ...

Responsible for coordinating, analyzing, and submitting regulatory data requests from state insurance departments, the National Association of Insurance Commissioners (NAIC), and other regulatory ...

New

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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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 Aug 9, 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 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.
Infographic showing various Insurance Data Analyst job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $76,304 per year, or $36.7 per hour.

Data Analyst

Red Rock Behavioral Health Services

Oklahoma City, OK • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Red Rock Behavioral Health Services rating

6.9

Company rating: 6.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


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.


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