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Associate In Insurance Data Analytics Jobs in Ohio

Associate Data Analyst Job No: 503834 Work Type: Staff Full Time (1500 hours or greater) Location ... Minimum Qualifications: - Bachelor's Degree in the field of business, data analytics, management ...

... Analytics & AI - Senior Associate, you will leverage data and analytics to provide strategic ... Insurance, Science - Demonstrating proficiency in data visualization tools like QlikView and ...

Bachelor's Degree in the field of business, data analytics, management information systems, or related. * 1+ years experience in data analytics. * Ability to identify, collect, analyze, and report ...

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.

Senior Data and Analytics Developer Full Time Perm Salary: $96,600 - $144,900, plus 8% annual bonus ... Acts in the capacity of subject matter and business intelligence expert in the enterprise ...

Showing results 41-60

Associate In Insurance Data Analytics information

What is an associate in insurance data analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.

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

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What are some common challenges faced by an associate in insurance data analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

What are popular job titles related to Associate In Insurance Data Analytics jobs in Ohio?

For Associate In Insurance Data Analytics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Associate In Insurance Data Analytics jobs in Ohio look for?

The top searched job categories for Associate In Insurance Data Analytics jobs in Ohio are:

What cities in Ohio are hiring for Associate In Insurance Data Analytics jobs?

Cities in Ohio with the most Associate In Insurance Data Analytics job openings:

Infographic showing various Associate In Insurance Data Analytics job openings in Ohio as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

Claims - Data Analyst I - III

Fairfield, OH • On-site

The Cincinnati Insurance Companies
1 - 5K employees

$55K - $90K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Cincinnati Insurance Company rating

9.0

Company rating: 9.0 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

38th of 315 rated insurance


Job description

Make a difference with a career in insurance
At The Cincinnati Insurance Companies, we put people first and apply the Golden Rule to our daily operations. To put this into action, we're looking for extraordinary people to join our talented team. Our service-oriented, ethical, knowledgeable, caring associates are the heart of our vision to be the best company serving independent agents. We help protect families and businesses as they work to prevent or recover from a loss. Share your talents to help us reach for continued success as we bring value to the communities we serve and demonstrate that Actions Speak Louder in Person®.
If you're ready to build productive relationships, collaborate within a diverse team, embrace challenges and develop your skills, then Cincinnati may be the place for you. We offer career opportunities where you can contribute and grow.
Build your future with us
Our Claims Operations department is currently seeking a Claims Data Analyst I - III. A Claims Data Analyst is responsible for understanding and analyzing claims data, creating reports, completing data requests, identifying and interpreting data trends, and presenting results to stakeholders. This analyst will work closely with internal and external customers to translate business needs into clear requirements and deliver solutions. This role involves frequent collaboration with IT to enhance deliverables. As a Claims Data Analyst, the responsibilities scale with experience and proficiency, so the candidate can be expected to fulfill leadership roles on projects, mentor fellow team members, establish and maintain relationships with internal and external customers, and independently manage workload.
Starting pay: The pay range for this position is $55,000 - $90,000 annually. Pay is based on the applicant's education, experience, location, knowledge, skills and abilities. Eligible associates may also receive an annual cash bonus and stock incentives based on company and individual performance.
Be ready to:
  • participate in or lead meetings with customers to understand data and reporting needs

  • build strong relationships with Claims leadership and stakeholders

  • create routine and ad hoc reports based on requests throughout the organization

  • develop and validate reports, dashboards, and large-scale trending analyses

  • extract and validate information from multiple data sources

  • perform statistical analyses for projects and summarize results

  • identify trends in data and provide actionable insights

  • partner with IT to investigate data discrepancies, resolve data issues, document requirements, and test system enhancements

  • understand how claims data is transformed from a source system to multiple downstream systems, including how the data is used in legacy systems, agency/insured portals, and in corporate data warehouses

  • help define and improve reporting processes

  • independently review and interpret data requests and follow through with timely reporting

  • ensure accuracy and consistency of claims data across data sources

  • serve as a subject matter expert for Claims data on corporate-level projects

  • explore and implement new reporting tools and solutions

  • proactively find ways to improve and automate processes, keeping efficiency at the forefront of work efforts

  • participate in peer review and mentor other analysts, depending on experience

Be equipped with:
  • the ability to proactively identify, build, and maintain relationships with stakeholders

  • strong problem-solving skills

  • keen attention to detail

  • clear written and verbal communication skills

  • ability to present complex information in an understandable and compelling manner

  • fluency with advanced Microsoft® Excel functionality including pivot tables, Power Query, combination charts, vlookups, and complex calculations

  • experience with data analysis, reporting, and creating queries to extract data

  • knowledge of Power BI or other data visualization software preferred

  • ability to manage multiple projects and meet deadlines independently

  • quick to learn new technical concepts and adapt to change

  • focus on improving processes and finding efficiencies

  • experience with or willingness to learn Excel macros, VBA, or other common coding languages (i.e. SAS, SQL, or DAX, etc.)

Bring education and experience from:
  • qualified candidates have earned a bachelor's degree in business, mathematics, statistics or information technology-related fields or related experience

  • preferred knowledge of insurance industry and risk management

  • professional insurance designations are preferred but not necessary

  • knowledge of statistical analyses

  • familiar with data models and tools like PowerPivot

  • preferably 2+ years hands-on experience with reporting tools like SAP Business Warehouse, Power BI, Cognos or other tools for analytics and reporting

  • experience using SAS, R, SPSS or other statistical packages is desirable

Enhance your talents
Providing outstanding service and developing strong relationships with our independent agents are hallmarks of our company. Whether you have experience from another carrier or you're new to the insurance industry, we promote a lifelong learning approach. Cincinnati provides you with the tools and training to be successful and to become a trusted, respected insurance professional - all while enjoying a meaningful career.
Enjoy benefits and amenities
Your commitment to providing strong service, sharing best practices and creating solutions that impact lives is appreciated. To increase the well-being and satisfaction of our associates, we offer a variety of benefits and amenities. Learn more about our benefits and amenities packages.
Embrace a diverse team
As a relationship-based organization, we welcome and value a diverse workforce. We grant equal employment opportunity to all qualified persons without regard to race; creed; color; sex, including sexual orientation; religion; national origin; age; disability; or any other basis prohibited by law. Learn more about the Federal Employment Notices.

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