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Associate In Insurance Data Analytics Jobs in Ohio

Enable and support stakeholders in the data network and share guidelines, standards and best ... Employees receive access to a range of medical, dental, and vision insurance plans, ensuring their ...

Associate Strategy Director You'll sit at the intersection of strategy, data, and client impact ... This is a leadership role in the organization, and you would not only be a senior SME on client ...

Associate Strategy Director You'll sit at the intersection of strategy, data, and client impact ... This is a leadership role in the organization, and you would not only be a senior SME on client ...

Data Analytics

Mason, OH · On-site

$50 - $55/hr

Experience working in Healthcare, Health Insurance, Financial Services, or other highly regulated ... Data Analysis & Data Visualization. * Data Governance. * Statistical Analysis. * Power BI.

Data Analytics Lead Job Location Walbridge, OH Job Category Data Analytics The Rudolph Libbe Group ... Founded in 1955, RLG operates as a single-source partner for clients across diverse industries ...

Founded in 1955, RLG operates as a single-source partner for clients across diverse industries ... The Data Analytics Lead drives enterprise analytics across construction operations, project ...

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

Bachelor's Degree in Computer Science, Data Analytics, Data Science, Management Information Systems ... or a related field Experience * At least 4 years working with data modeling, software ...

Showing results 21-40

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.

Data & Analytics Specialist

Wooster, OH

Schaeffler
Manufacturing • 10K+ employees

Full-time

Medical, Dental, Vision, Retirement

Re-posted 21 days ago


Key responsibilities

  • Consolidate requirements, develop and implement data concepts, analyze, interpret, and report on data for the assigned business or domain.

  • Gather and evaluate business needs related to data, develop data models, and improve data-related processes.

  • Build or configure reports and analytical solutions to generate additional information from data based on given toolsets.


Schaeffler rating

7.4

Company rating: 7.4 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

295th of 499 rated machine equipment manufacturers


Job description

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.  

Your Key Responsibilities
  • Consolidate requirements, develop and implement data concepts and/or analyze, interpret and report on data and related information for the business or domain assigned.
  • Gather and evaluate business needs with respect to data and develop data models that best meet the information requirements.
  • Develop and implement concepts for improving data-related processes, and recommend appropriate IT systems for utilization.
  • Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes and resolve data quality issues.
  • Build or configure reports and analytical solutions to generate additional information from data based on given toolsets.
  • Enable and support stakeholders in the data network and share guidelines, standards and best practices with the organization.
  • Support the planning, rollout, and adoption of S4 HANA and related applications.
  • Implement IT systems and tools that enhance planning, logistics, and supply chain processes.
  • Create and maintain logistics and planning master data in alignment with global standards.
  • Participate in regional and local S4 HANA team meetings, providing insights and feedback from the manufacturing plants.
  • Work directly within manufacturing and logistics environments to understand system impact and operational needs.
  • Train end users on S4 HANA and related systems, promoting consistent standards and best practices.
  • Enable and support stakeholders within the larger data network, sharing knowledge and fostering adoption
Your Qualifications
  • Bachelor's degree in Industrial Engineering, Logistics, or Technical field of study

  • 3 to 5 years experience overall with proven experience in production planning, logistics, supply chain management, or process optimization.

  • Hands-on experience with ERP systems, ideally SAP R/3 or S/4HANA, and manufacturing planning/logistics systems.

  • Strong analytical skills with the ability to consolidate, interpret, and act on complex datasets.

  • Ability to apply systematic approaches and continuous improvement methodologies (Lean, Six Sigma, etc.).

  • Comfortable working near manufacturing and logistics equipment as needed to support operational processes.

  • Applicants must be authorized to work in the US without employment VISA or other sponsorship.

Our Offering

At Schaeffler, our success is driven by our employees. We value what you bring to our business, which is why we are committed to providing you with a competitive, comprehensive benefits program that gives you and your family the care you need to lead healthy, productive lives. This includes amongst others the following: 

  • Comprehensive healthcare coverage: Employees receive access to a range of medical, dental, and vision insurance plans, ensuring their well-being and peace of mind. 
  • Generous retirement savings options: The company provides competitive 401(k) matching contributions (up to 6%), empowering employees to build a secure financial future. 
  • Professional development opportunities: The company invests in its employees' growth by offering skill development workshops, and ongoing learning and developmentprograms. Through our Schaeffler Academy you will have access to a state-of-the-art and comprehensive learning and training offering.
  • Wellness initiatives: Employees have access to wellness programs and resources aimed at promoting physical, mental, and emotional health, fostering a supportive and thriving work environment.  

See all of our benefit offerings at https://schaefflerbenefits.com/

We look forward to your application.

Schaeffler is an equal employment opportunity / affirmative action employer. All qualified candidates will receive equal employment opportunities and consideration for employment without regard to unlawful consideration of race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, protected veteran status, or any other status protected by applicable law. 

Keywords: Digitalization & Information Technology;  


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