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

Hylant

Lead Data & Analytics Architect

Cleveland, OH · On-site

Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk. * Six or more years of experience in data architecture, analytics ...

AVI Foodsystems

Head of Data & Analytics

Akron, OH · On-site

$150 - $210/hr

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Health, dental, vision, and life insurance for full-time team members * 401(k) with generous ...

PNC Bank

Data Analyst - AMG

Strongsville, OH · On-site

$52K - $127K/yr

... Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies ... This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act ...

A Renewed Mind

Quality Data Analyst

Berea, OH

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Healthcare ... Possess a valid Ohio Driver's License with a safe driving record and valid insurance.

OhioGuidestone

Quality Data Analyst

Berea, OH · On-site

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Healthcare ... Possess a valid Ohio Driver's License with a safe driving record and valid insurance.

Goosehead

Senior Sales Analyst

Westlake, OH · On-site

$79K - $100K/yr

... in data analytics and insights. The Senior Sales Analyst will interact with other teams to form a ... Preferred: * Experience in the insurance industry or a similar data-driven environment.

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Insurance Data Analytics information

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$53

$91

How much do insurance data analytics jobs pay per hour?

As of Aug 10, 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 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.

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.

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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 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, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $110,438 per year, or $53.1 per hour.

Reporting Analyst

Great American Insurance Group

Richfield, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

57th of 304 rated insurance

Job description

National Interstate is a member of Great American Insurance Group. As one of the leading commercial transportation insurers in the nation, we offer risk financing solutions in all 50 states tailored to meet the needs of a wide variety of transportation classes. Our offerings include traditional insurance and innovative alternative risk transfer (ART) programs, including more than a dozen group captive programs catering to niche wheels markets. We are proud to be a multiple Northcoast 99 winner and Cleveland Plain Dealer Top Workplace in Northeast Ohio. It is because of our talented and dedicated team that we are able to live out our company values of integrity, transparency, fairness, accountability, empowerment and collaboration with each transaction we make. If you are ready to join an engaging and driven team such as ours, we would love to hear from you!
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Since 1989, National Interstate has specialized in serving the insurance needs of the wheels-based transportation industry. Our steadfast focus on developing niche expertise in product design, loss control and claim services has made National Interstate one of the most respected names in commercial transportation insurance today. (https://natl.com/)
National Interstate is looking for a Data Reporting Analyst to join their team. This individual will work a hybrid schedule out of the Richfield office.
National Interstate's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by business needs.
Essential Job Functions and Responsibilities
  • Gathers, analyzes, and interprets large volumes of data from multiple sources to support business objectives.
  • Ensures data integrity and accuracy by performing regular data audits and validation checks.
  • Maintains and updates databases, ensuring data is organized and accessible for reporting purposes.
  • Develops, designs, and generates reports, dashboards, and visualizations to provide actionable insights to stakeholders.
  • Analyzes trends and patterns in data to identify opportunities for improvement and inform strategic decisions.
  • Collaborates with various departments to understand their data reporting needs and deliver customized solutions.
  • Presents findings and recommendations to management and other stakeholders in a clear and concise manner.
  • Identifies and implements process improvements to enhance data collection, analysis, and reporting efficiency.
  • Maintains updated knowledge of industry best practices and emerging trends in data analytics and reporting.
  • Develops and maintains documentation for data processes, workflows, reporting standards, and data dictionaries. Additionally preforms tracking and documenting state documents, tracking and processing adjuster renewal licenses and completing internal claim audits as needed.
  • Performs other duties as assigned

Job Requirements
Education: Bachelor's Degree in Data Science, Statistics, Computer Science, Information Systems, or a related field or equivalent experience.
Experience: Generally, a minimum of 3 years of experience in data analytics, reporting or a related field. Previous experience in the insurance industry preferred.
Completion of or continuing progress toward a certification in area of expertise preferred; appropriate certifications could include an Associate Insurance Data Manager (AIDM), or Certificate in General Insurance (INS).
Scope of Job/Qualifications: Performs work under moderate supervision. Relies on limited experience and judgment to plan and accomplish goals. Proficiency in analyzing data sets and identifying patterns, trends, and insights. Proficiency in reporting and data analysis tools (Cognos, Excel, SQL, Tableau, Power BI, etc.) and familiarity with scripting languages. Develops and maintains knowledge of data sources content and structure to assess the quality of data. General knowledge of data extraction, transformation, and loading (ETL) processes. Develops understanding of industry products/coverages and applies that knowledge to support business activity. Strong analytical skills and attention to detail. Strong communication skills with the ability to explain data insights to non-technical stakeholders.
Company:
NIIC National Interstate Insurance Company
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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