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Insurance Data Analyst Jobs in Oklahoma (NOW HIRING)

This position is eligible for medical, dental, vision insurance benefits, 401K Are you looking for ... data analyses to support strategic decision-making โ€ข Build customer segments, mailing lists, and ...

Data Engineer II

Tulsa, OK ยท On-site

$120/hr

Health insurance Disability insurance Life insurance Retirement plans (like a 401(k)) Paid time off ... Connect to and analyze data from a variety of source systems to assess data quality, structure, and ...

Data Engineer II

Tulsa, OK ยท On-site

$120/hr

Health insurance Disability insurance Life insurance Retirement plans (like a 401(k)) Paid time off ... Connect to and analyze data from a variety of source systems to assess data quality, structure, and ...

Data Architect

Tulsa, OK

$58.25 - $75/hr

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... analytics and Big Data. Coordinates with Business Intelligence/Reporting teams to communicate ...

Showing results 21-40

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.

CRM Data & Analytics Manager

Addison Group

Oklahoma City, OK โ€ข On-site

$65K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 17 days ago


Job description

Role: CRM Data & Analytics Manager

Position Type: Direct Hire

Location: Oklahoma City, OK (100% Onsite)

Compensation: $65,000 / Annually

Benefits: This position is eligible for medical, dental, vision insurance benefits, 401K

Are you looking for a growth opportunity for a reputable company with a positive work environment?

Our client is looking for a Development Operations & Database Manager. Please contact us today to discuss this opportunity!

Overview:

Our client is seeking a Development Operations & Database Manager to oversee the organization's CRM platform, data operations, reporting, and customer database strategy. This newly created position offers the opportunity to bring a critical business function in-house while partnering with leadership to improve operational efficiency, reporting, and customer engagement. The ideal candidate enjoys working with data, building reports, managing CRM systems, and leading process improvements while supervising a small support team.

Key Responsibilities:

• Serve as the primary administrator for the organization's CRM platform and customer database

• Maintain data integrity through ongoing audits, data cleanup, and quality assurance initiatives

• Develop reports, dashboards, and data analyses to support strategic decision-making

• Build customer segments, mailing lists, and targeted communication lists

• Import, export, and manage large datasets while ensuring data accuracy

• Develop and document standard operating procedures for database management and operational workflows

• Partner with multiple departments to support reporting, customer engagement, and operational initiatives

• Monitor key performance metrics and identify trends to improve business outcomes

• Supervise and mentor a support team member responsible for daily database operations and customer record maintenance

• Serve as the primary escalation point for complex customer account or database issues

• Continuously evaluate and improve operational processes and database management practices

Preferred Experience:

• 3+ years of CRM administration, database management, or development operations experience

• Experience working with CRM platforms such as Salesforce, Blackbaud, DonorPerfect, Raiser's Edge, Bloomerang, EveryAction, Virtuous, or similar customer relationship management systems

• Advanced Microsoft Excel skills, including PivotTables, VLOOKUP/XLOOKUP, and data analysis functions

• Experience developing reports, dashboards, and customer segmentation strategies

• Strong understanding of data governance, quality assurance, and database best practices

• Experience supervising or mentoring team members preferred

• Bachelor's degree preferred or equivalent professional experience

Ideal Candidate Profile:

• Highly organized with exceptional attention to detail

• Analytical thinker who enjoys using data to solve business challenges

• Strong communication and relationship-building skills

• Customer-focused with a commitment to data accuracy and operational excellence

• Self-motivated and comfortable managing multiple priorities

• Process-oriented with a continuous improvement mindset

• Collaborative leader who enjoys mentoring others and partnering across departments

Why choose Addison IT?

• Pay: We negotiate high salaries using U.S. Bureau of Labor Statistics

• Benefits & Bonuses: You are eligible for medical, dental, vision insurance benefits, 401K, and monetary bonuses

• Permanent Employment: Many of Addison’s job openings lead to potential permanent employment

• Connections: You connect directly with hiring managers from renowned organizations

• Options: You are presented with multiple employment options near your home

• Professional Development: You are provided hiring process advice, resume revision, and employment term negotiation

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.