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Insurance Data Analytics Jobs in Ohio (NOW HIRING)

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes ... Employees receive access to a range of medical, dental, and vision insurance plans, ensuring their ...

Schaeffler

Data & Analytics Specialist

Wooster, OH

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes ... Employees receive access to a range of medical, dental, and vision insurance plans, ensuring their ...

centralins

Data Analytics Manager

Van Wert, OH · Hybrid

Central Insurance is seeking a Data Analytics Manager to lead a highimpact team responsible for delivering datadriven insights and advancing enterprise data capabilities. In this role, you will ...

centralins

Data Analytics Manager

Van Wert, OH · Hybrid

Central Insurance is seeking a Data Analytics Manager to lead a highimpact team responsible for delivering datadriven insights and advancing enterprise data capabilities. In this role, you will ...

US Bank

Data Analytics - Operations

Cincinnati, OH

As a Data Analyst , you'll be part of a collaborative, forward-thinking team that partners closely ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Bath and Body Works

Sr. Data Analytics Analyst

Columbus, OH · On-site

$83K - $104K/yr

The Data, Analytics, & AI team enables Bath & Body Works to make smarter, consumer-first decisions ... insurance. * Tuition reimbursement and scholarship opportunities for post-secondary education ...

Hylant

Lead Data & Analytics Architect

Columbus, 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 ...

Hylant

Lead Data & Analytics Architect

Toledo, OH

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 ...

Hylant

Lead Data & Analytics Architect

Toledo, 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 ...

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Insurance Data Analytics information

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

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 collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

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 Ohio? The most popular types of Insurance Data Analytics jobs in Ohio are:
What are popular job titles related to Insurance Data Analytics jobs in Ohio? For Insurance Data Analytics jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Ohio look for? The top searched job categories for Insurance Data Analytics jobs in Ohio are:
What cities in Ohio are hiring for Insurance Data Analytics jobs? Cities in Ohio with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Ohio as of June 2026, with employment types broken down into 79% Full Time, 11% Part Time, 5% Temporary, and 5% Nights. Highlights an 95% In-person, and 5% Hybrid job distribution.
Data Analytics Manager

Data Analytics Manager

Central Mutual Insurance Company

Dublin, OH • On-site

Other

Medical, Retirement

Posted 5 days ago

Job description

Location:Van Wert, OH; Dublin, OH
Work Model: Hybrid
Position type: Full time - salary
We're a team of employees passionate about delivering best-in-class customer service and driving innovation in claims management. Integrity, relationships, and excellence are at the heart of everything we do.
Our employees fully utilize their talents and bring their best selves to work. We believe who you are is just as important as what you do!
Central Insurance is seeking a Data Analytics Manager to lead a high-impact team responsible for delivering data-driven insights and advancing enterprise data capabilities. In this role, you will oversee the development of analytics solutions, data models, and data architecture that enable informed decision making and support key business initiatives across the organization.
This position is ideal for a strategic leader who can translate complex business needs into actionable data solutions while developing talent and driving performance. You will help usher in the use of AI to enhance regulatory reporting and analytics, shaping how data is leveraged by ensuring consistency, quality, and innovation while building strong partnerships and fostering a high-performing, collaborative team environment.
Key Responsibilities of the Role
  • Oversees a team of Data Analysts responsible for assisting the enterprise Information Technology organization with construction of data warehouses by building and delivering data models and data mining applications for business units.
  • Analyze and validate financial data; identify trends, discrepancies, and anomalies
  • Lead the preparation and submission of regulatory reports accurately and on time
  • Establishes operational objectives, policies, procedures, and work plans and delegates assignments to the team(s)
  • Manage the data analysis and design of analytics products across a focused area of the Central Insurance business value stream to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals
  • Translate complex business requirements into data requirements and work with internal customers to define data requirement details based on expressed partner needs
  • Lead structured, end-to-end analysis to inform product strategy, data architecture, and reporting decisions
  • Analyze existing datasets and interfaces to understand and document current state data architectures
  • Design future state data architectures by applying data requirements, data profiles and business rules to current state architectures in alignment with best practices and standards
  • Drive data architecture that enforces consistency across the data landscape with an emphasis on single sources of truth
  • Perform extensive data profiling to understand data behavior and business rules
  • Thoroughly document data architecture solutions, business requirements, training material and business processes for both business and technical audiences
  • Drive adoption of and socialize data products with end users through user training
  • Leverage frameworks for repeatable validation of data integrity within data products supporting accurate and consistent reporting and analytics
  • Support standard methodologies in data analysis: data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation
  • Adequately staff the Data Analytics team while adhering to the analytics budget
  • Lead and develop others by building skills through coaching, mentoring, and ongoing training & development
  • Foster strong and meaningful relationships within the team, across the organization, and with corporate partners
  • Meet with stakeholders to understand needs and provide insights that help meet profit, growth, and expense goals
Required Qualifications
  • Masters' degree in Computer Science or related field and 2 years related experience
  • Or Bachelor's degree in Computer Science or related field and 4 years related experience
  • Or 6 years related experience
Knowledge, Skills, and Abilities
  • Experience analyzing large structured and unstructured datasets
  • Experience defining data architectures to support data visualization tools
  • Experience defining data architectures to support semantic data layers
  • Experience with cloud environments
  • Experience with Big Data technologies
  • Understanding of leadership skills, including coaching, team-building, and conflict resolution
  • Project management skills including time and risk management, resource prioritization, and project structuring
  • Strong analytical and problem-solving skills
  • Strong verbal and written communication skills, including negotiation, presentation, and influence skills
  • Strong multi-tasking and prioritization skills
  • Proven ability to deliver on commitments
  • Comfortable working in a fast-paced, results-oriented environment
  • Business process acumen and ability to map processes to data models and architectures
  • Demonstrated ability to develop structured analysis that support data architecture design
  • Solid understanding of various database management systems
  • Working understanding of Agile methodologies and principles
  • Ability to understand Central Insurance's policies and processes

Total Rewards
Central establishes base pay based on several factors including labor market data and an evaluation of candidate qualifications relative to role requirements. Base pay is one component of a comprehensive total rewards package designed to support employees' financial, health, career, and retirement objectives. Central provides extensive health and wellness benefits to promote flexibility, work-life balance, and long-term financial security. For more information, see Central Insurance Benefits
Work Authorization
Central will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
It is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability. The applicant should respond to questions on this application in a way that will not divulge such information. #LI-AS1 #LI-Hybrid

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