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Insurance Data Analyst Jobs in Oklahoma (NOW HIRING)

The Data Analyst builds technical proficiency, analytical rigor, and fosters stakeholder ... Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional ...

The Data Analyst builds technical proficiency, analytical rigor, and fosters stakeholder ... Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional ...

Entry Data Analyst Location: Oklahoma City, OK Pay Rate Range: $15-20/hr Are you looking for a ... You are eligible for medical, dental, vision insurance benefits, 401K, and monetary bonuses

What additional requirements you'll need * 3+ years of experience in data analysis, preferably ... Benefits Paid time off (PTO)Various health insurance options & wellness plansRetirement benefits ...

Contract Data Analyst

Tulsa, OK

$59K - $72K/yr

Contract Data Analyst Location: Tulsa, OK Description Responsible for analysis of contracts and ... Experience with health plan insurance contracting and reimbursement for providers and facilities.

Temp Data Integrity Analyst

Edmond, OK · Remote

$21.44 - $28/hr

Data Integrity Analyst (Contract) Remote (OK preferred) | ⏳ 5-6 Month Assignment - Strong excel ... life insurance, short-term disability, additional voluntary benefits, EAP program, commuter ...

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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 Jun 12, 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.

What does a data analyst do at an insurance company?

An insurance data analyst collects, analyzes, and interprets data related to policies, claims, and customer information to identify trends and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, pricing, and risk assessment processes.

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 knowledge of insurance industry metrics to improve underwriting, claims processing, and customer insights.

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.

Is AI replacing data analysts?

AI is transforming the role of insurance data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can handle large datasets efficiently, human expertise remains essential for interpreting results, ensuring data quality, and applying domain knowledge. The role continues to evolve with skills in data management, programming, and AI tools being increasingly valuable.

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in their careers by acquiring 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 shift.
Infographic showing various Insurance Data Analyst job openings in Oklahoma as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $76,304 per year, or $36.7 per hour.
Data Analyst

Data Analyst

Life.Church

Edmond, OK • On-site

Full-time

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


Job description

Life.Church wants to make a lasting difference in your life, in our community, and in the world. Our mission is to lead people to become fully devoted followers of Christ. That's how we’re able to make a difference, and it's the driving force behind everything we do. The Data Analyst is primarily responsible for partnering with ministry and operational leaders across Life.Church to transform data into strategic insights. This role delivers deep analytical insights, balanced perspectives, and clear recommendations that create confidence in decision-making at the tactical, operational, and strategic levels.

The Data Analyst builds technical proficiency, analytical rigor, and fosters stakeholder collaboration to execute independent analytical projects, support strategic framing, and partner with stakeholders effectively. The Data Analyst provides data solutions that equip teams and ministries to further Life.Church’s mission and to reach people for Christ.

At Life.Church, we exist to lead people to become fully devoted followers of Christ. It’s been our mission since 1996 and has guided us every day. Leading people isn’t just an expectation; it’s a necessity.  It’s a cornerstone of our culture. That's why we’re always seeking leaders—leaders like you—to bring your skills to life. We are one church meeting in multiple locations, and we want to help you become the person God made you to be. 

The Finance Team partners with the organization to facilitate the financial reporting needs of Life.Church, including payroll, accounts payable, giving operations, accounting, forecasting, and data analytics. We equip the organization with the tools needed to plan for, understand, and steward the resources God has provided for our ministry.
What You’ll Do
  • Guide analytics beyond presentation to clarify trends, tradeoffs, and implications for action.
  • Create tools and dashboards that present data in a clear and compelling way with consistent definitions.
  • Conduct comprehensive cross-functional data analysis to uncover trends and insights.
  • Build and maintain analytical tools that support recurring ministry processes (forecasting, health metrics, performance tracking).
  • Design, enhance, and optimize Tableau dashboards and visualizations, collaborating with data engineers on underlying data structure improvements as needed.
  • Translate analytics projects into clear technical requirements.
  • Lead discovery conversations with stakeholders at various levels to seek understanding, develop solutions, and identify areas of analytical exploration.
  • Partner with leaders to design analytical deliverables (dashboards, reports, frameworks) that address recurring strategic questions and support ongoing decision-making.
  • Collaborate on long-term and short-term forecast development across several domains.
  • Collaborate with internal and external teams on data initiatives, integrations, and other system focused needs.
Skills Needed to Succeed
  • Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships.
  • Ability to clearly explain complex analyses in concise, accessible ways.
  • Frame cross-functional analysis strategically and deliver actionable insights.
  • Maintain a systematic and organized approach to completing assignments accurately, thoroughly, and timely.
  • Ability to translate analytics projects into technical requirements.
  • Self-motivated with ability to take initiative, make independent decisions, and problem-solve.
  • Ability to collaborate in team environment and work independently.
  • Bachelor's degree in Data Analytics, Data Science, or related quantitative field.
  • 1-3 years of experience in financial planning, data analysis or business intelligence or demonstrated technical proficiency in SQL, Tableau, and/or data visualization tools.
Benefits We Offer
  • Paid parental leave, including maternity, paternity, and adoption leave.
  • Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons. 
  • Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health. 
  • Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase. 
  • Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.
  • Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health.
  • Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn’t stop there—the more years on staff, the greater the investment! 
  • $160 annually in development dollars for team members to invest in their professional growth. 
  • Casual dress and work environment.
  • And much more!
 
Our Beliefs, Culture, and Commitment to Diversity
At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual’s capacity to represent Life.Church’s beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or intern at Life.Church is to uphold and represent the beliefs of Life.Church. Learn more about what we believe at Life.Church. 
 
While we unite around our mission, we know unity doesn’t mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page. 
 
All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.