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

Encova Insurance

Analytics Analyst

Columbus, OH · On-site

$77K - $123K/yr

This role focuses heavily on data engineering, dataset design, and analytical modeling support-serving as a critical bridge between raw insurance data and actionable pricing insights. The analyst ...

Collabera

Data Analyst

Hilliard, OH

... Insurance, Disability Insurance. Analyze data for the purpose of identifying data anomalies ... Experience with Oracle or Teradata database desired Prior experience in a data analytics role ...

centralins

Data Analyst

Van Wert, OH · Hybrid

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you ...

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

Insurance Data Analytics information

See Columbus, OH salary details

$23

$52

$91

How much do insurance data analytics jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for insurance data analytics in Columbus, OH is $52.88, according to ZipRecruiter salary data. Most workers in this role earn between $42.50 and $59.90 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 Columbus, OH?

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

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

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

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

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

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

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

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, and 6% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $109,990 per year, or $52.9 per hour.

Data Analytics Supervisor

Ohio Department of Aging

Columbus, OH • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 6 days ago

Job description

Join Our Team!
Accepting applications for a Data Analytics Supervisor
Who Are We?
The Ohio Department of Developmental Disabilities (DODD) mission is to partner with people and communities to support Ohioans with developmental disabilities and their families in realizing their version of a good life.
Ohio is the heart of opportunity, and we envision Ohio as the best place in the nation for people with developmental disabilities to thrive. Our core values reflect our focus on the experience of each person we support:
  • Inclusion
  • Partnership
  • Respect
What does a Data Analytics Supervisor do?
  • Serves as data analyst supporting Major Unusual Incidents (MUI) and Compliance operations within the Department of Developmental Disabilities (DODD).
  • Develops and maintains Tableau dashboards, reports, automated reporting solutions, and ad hoc analyses related to MUI activities, compliance reviews, provider oversight, county board oversight, and operational performance.
  • Supports reporting and analytics activities using data from multiple DODD systems, including ITMS and RDS, as well as Medicaid claims and other health-related data sources.
  • Analyzes data trends, patterns, and operational issues to support program staff, leadership, county boards, providers, and other stakeholders.
  • Generates, tracks, and automates performance measures, ensuring timely tracking of agency goals, outcomes, and reporting requirements.
  • Validates data accuracy and assists with identifying reporting, data quality, and system concerns.
  • Responds to questions from county boards, providers, internal staff, and other stakeholders.
  • Works independently to identify reporting needs, prioritize assignments, and develop data solutions that support agency operations and decision-making.
  • Utilizes reporting and analytics tools including Tableau, SQL, Python, and other technologies, as appropriate.
  • Develops and maintains documentation, report definitions, business rules, and reporting standards.
  • Participates in office hours and provides guidance and support to report and dashboard users and stakeholders.
  • Participates in agency-wide data committees, reporting workgroups, and data governance and data quality initiatives.
  • Coordinates with program areas and information technology staff to improve reporting processes, data quality, and understanding of DODD systems and business processes.
  • Maintains working knowledge of DODD systems, Medicaid and health-related data, and how data connects and flows across systems.
  • Supports emerging analytics, automation, and agentic AI initiatives that improve reporting, data access, operational efficiency, and user support.
  • Participates in and provides cross-training across reporting and analytics functions to promote knowledge sharing, ensure continuity of operations, provide backup coverage, and reduce reliance on single-person subject matter expertise.
  • Oversees data analytics college intern.
  • Serves as the primary data coordination contact for public records requests (PRR) under Ohio's Public Records Act (R.C. 149.43) involving reports, analytics, and DODD data.
  • Coordinates with program staff, leadership, legal staff, and other stakeholders to identify, review, prepare, validate, and deliver requested data and reporting materials.
  • Performs other related duties as assigned.

At the State of Ohio, we take care of the team that cares for Ohioans. We provide a variety of quality, competitive benefits to eligible full-time and part-time employees*. For a list of all the State of Ohio Benefits, visit our Total Rewards website ! Our benefits package includes:
  • Medical Coverage
  • Free Dental, Vision and Basic Life Insurance premiums after completion of eligibility period
  • Paid time off, including vacation, personal, sick leave and 11 paid holidays per year
  • Childbirth, Adoption, and Foster Care leave
  • Education and Development Opportunities (Employee Development Funds, Public Service Loan Forgiveness, and more)
  • Public Retirement Systems ( such as OPERS, STRS, SERS, and HPRS ) & Optional Deferred Compensation ( Ohio Deferred Compensation )
*Benefits eligibility is dependent on a number of factors. The Agency Contact listed above will be able to provide specific benefits information for this position.
Qualifications
72 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques.
OR
Completion of associate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 54 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques.
OR
Completion of undergraduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 48 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques.
OR
Completion of graduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 36 months' experience or training in data analytics, statistical analysis, or research methods; 12 mos. exp. in supervisory &/or management principles & techniques.
OR
Equivalent of Minimum Class Qualifications For Employment noted above.
Job Skill: Data Analytics, Data Visualization, Operational and Administrative Support, Leading Others, Developing Others, Confidentiality, Analyzation
Ohio Department of Aging logo

About Ohio Department of Aging

Sourced by ZipRecruiter

The Ohio Department of Aging, based in Columbus, OH, US, is within the healthcare and service industry, primarily serving older individuals and their care providers throughout the state. As a state government agency, its key role is to ensure the provision of quality services and supports that assist older Ohioans to live healthier, safer and more productive lives. The department functions through the official website, ohio.gov. It was established with a mission to position the State of Ohio on the leading edge of solution-driven innovation for the challenges and opportunities presented by Ohio's rapidly aging population.

Industry

Public administration

Company size

51 - 200 Employees

Headquarters location

Columbus, OH, US

View All Ohio Department of Aging Jobs

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