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Insurance Data Analytics Jobs in Cleveland, OH (NOW HIRING)

Huntington

Data Analyst III

Cleveland, OH · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... In addition, Huntington provides a variety of benefits to colleagues, including health insurance ...

ThyssenKrupp

Analytics

Middleburg Heights, OH · On-site

Interpret data, perform data analysis, and conduct data validation. * Develop high-quality Power BI ... Life Insurance and Disability * Voluntary Wellness Programs * 401(k) and RRSP programs with Company ...

Pursuit Aerospace

Lead Data Scientist

Cleveland, OH · On-site

$144K - $198K/yr

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... Pursuit Aerospace also offers a variety of benefits, including health and disability insurance ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Cleveland, OH

Insurance Data Analytics information

See Cleveland, OH salary details

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$91

How much do insurance data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for insurance data analytics in Cleveland, OH is $53.10, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $60.14 per hour, depending on experience, location, and employer.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

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

What are the most commonly searched types of Insurance Data Analytics jobs in Cleveland, OH?

The most popular types of Insurance Data Analytics jobs in Cleveland, OH are:

What are popular job titles related to Insurance Data Analytics jobs in Cleveland, OH?

For Insurance Data Analytics jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in Cleveland, OH look for?

The top searched job categories for Insurance Data Analytics jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Insurance Data Analytics jobs?

Cities near Cleveland, OH with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Cleveland, OH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 19% Part Time, and 7% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $110,438 per year, or $53.1 per hour.

Intern; Quality and Info Analytics; 371 (PAID)

thecenters

Cleveland, OH • On-site

Internship

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

Job description

About The Centers
The Centers fights for equity by healing, teaching, and inspiring individuals and families to reach their full potential. We provide health, family, and workforce services at 11 locations throughout Greater Cleveland, creating life-changing solutions for people to lead healthier and more successful lives.
We strive to be an equitable, anti-racist, and service-oriented workplace that pioneers and co-creates solutions while fostering an inclusive community where our team members thrive.
Wellbeing and Benefits
Providing quality benefits to our staff is important to us. Just as important is our staff’s well-being. That’s why we offer a number of choices from medical to dental to vision plans to meet the different needs of our staff.
· Choice of medical and dental plans · Health Savings Account · Flexible Spending Account for Health and Dependent Care · Vision · Support for continuing education and credential renewal · Life Insurance · Retirement Savings (401k) with a company contribution ·  Mental Health Support · Employee Assistance Program · Calm Subscription · Short and Long-term Disability
The intern role is designed to expose and challenge students pursuing or interested in a career in data analytics, project management, or a related field. This position will offer a range of successful practices that will build experience working with data, generating value-add reporting, conducting analyses, and interacting with clients and internal stakeholders. Work hours will be approximately 15-25 hours per week.
 
Essential Job Duties & Responsibilities
  • Assist in collecting, cleaning, and analyzing data from various sources.
  • Utilize data reporting and visualization tools with guidance to analyze data trends and produce reports.
  • Validate data used for analysis and reports.
  • Support the development and implementation of data management protocols and procedures.
  • Participate in creating dashboards and other data visualization tools to communicate findings.
  • Ensure the quality and integrity of data used for analyses and reporting.
  • Generate reports from the EHR and other data collection systems to facilitate data synthesis and reporting for grant and quality initiative reporting.
  • Assist the data team with training on using EPIC, data collection tools, UDS measures, and quality measure dashboards.
  • Assist the quality improvement staff with data collection and monitoring needs.
  • Assist the data and quality team in creating job aids for reporting and using the EHR and other databases.
 
Other Job Duties & Responsibilities
  • Performs other duties as assigned.
 
Supervisory
  • None
 
Core Competencies
  • Diversity & Inclusion: Values all people for their unique talents and divergent viewpoints. Actively encourages practices that support diversity, inclusion, and cultural competence.
  • Verbal and Written Expression: Ability to communicate in clear language and to adjust one’s use of language to the audience’s level.
  • Teamwork: The ability to work with others toward a shared goal, participating actively, sharing responsibility and rewards, and contributing to the capability of the team.
  • Detailed Oriented: The ability to process detailed information effectively and consistently.
  • Independence: Takes responsibility for own time and effectiveness. Alert to opportunities to contribute appropriately without being told.
  • Learning Agility: Willingness and desire to absorb new information readily and to put it into practice effectively. Seeks feedback to improve learning.
  • Analytical Thinking- Identifies the logical, factual outcomes based on the data, information and analyses conducted.
 
Job Qualifications
Required
  • Pursuing or interested in a career in Public Health, Health Informatics Data Analytics, Management Information Systems, Health Informatics, Business, or equivalent.
  • Willingness to ask questions when in need of direction or clarification.
  • Proficient in Microsoft Office, especially advanced Excel skills
Preferred     
  • Understanding of healthcare environment and healthcare data needs
  • Experience in quality improvement methodologies
  • Familiarity with utilizing statical softwar

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