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Insurance Data Analytics Jobs in Ohio (NOW HIRING)

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Experience in Healthcare / Insurance / Data Analytics platforms. * Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.). * Experience in data governance and data quality frameworks.

AVI Foodsystems

Head of Data & Analytics

Akron, OH

... 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 ...

AVI Foodsystems

Head of Data & Analytics

Warren, OH

... 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 ...

MAXIMUS

Senior Engineer - Data Analytics

Columbus, OH · On-site

$99K - $134K/yr

... data and semantic model design. - Analyze requirements and apply architectural and engineering ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

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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.
Senior Manager, Data & Analytics

Senior Manager, Data & Analytics

Cushman & Wakefield

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday

Cushman & Wakefield rating

7.5

Company rating: 7.5 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

74th of 156 rated real estate companies

Job description

Job TitleSenior Manager, Data & AnalyticsJob Description SummaryJob Description

Role summary Own the analytics function end to end - from the Gold-layer data products in the lakehouse through to the dashboards, models, and insights that business teams act on. You set the standard for how analytics gets built, govern its quality, and lead a team of analysts and analytics engineers who turn curated data into decisions.

Key responsibilities

  • Run the analytics delivery roadmap and hold the team accountable for shipping it.
  • Define and enforce standards for metric definitions, semantic models, and reporting so the business trusts one version of the numbers.
  • Partner with data engineering to shape Silver/Gold data products against real analytical demand, rather than building in isolation.
  • Line-manage analysts and analytics engineers: hiring, performance, capability growth, and clear ownership across the team.
  • Translate ambiguous business questions into scoped analytics work, and translate results back into recommendations stakeholders can use.
  • Govern self-service: decide what gets certified, what stays exploratory, and where the guardrails sit.

Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate's experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $ 161,500.00 - $190,000.00

C&W Services is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.

In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at C&W Services, please call the ADA line at 1-888-365-5406 or emailAccommodations@cushwake.com. Please refer to the job title and job location when you contact us.

INCO: "C&W Services"

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