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Senior Insurance Data Analytics Jobs in Ohio (NOW HIRING)

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking ...

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking ...

Senior Data Analyst

Blue Ash, OH

$82K - $104K/yr

Key Responsibilities Reporting & Analytics * Develop, maintain, and distribute daily, weekly, and ... Monitor upfront collections, insurance verification, and authorization performance * Support payer ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... senior management as required. * An ability and interest in working in a fast-paced and rapidly ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... senior management as required. * An ability and interest in working in a fast-paced and rapidly ...

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... senior management as required. * An ability and interest in working in a fast-paced and rapidly ...

As a member of the DHT senior leadership team, the VP of Data, Analytics and AI leads day-to-day strategy execution, operating model design, and delivery for the data, analytics, and AI portfolio.

As a member of the DHT senior leadership team, the VP of Data, Analytics and AI leads day-to-day strategy execution, operating model design, and delivery for the data, analytics, and AI portfolio.

Senior Fullstack Developer - Data Analytics & AI (m/f/d) Job Alerts Link Apply now Senior Fullstack Developer - Data Analytics & AI (m/f/d) At TÜV SÜD we are passionate about technology.

LHH is representing a growing distribution organization, seeking a Senior Data Analyst to transform ... Bachelor's degree in Data Analytics, Business Analytics, Statistics, Computer Science, Information ...

Showing results 21-40

Senior Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.

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 cities in Ohio are hiring for Senior Insurance Data Analytics jobs?

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

AVP/VP of Enterprise Analytics

Great American Insurance Group

Cincinnati, OH • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

57th of 307 rated insurance


Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.

At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.

We'rehiring a senior leader to head Enterprise Analytics,responsible for descriptive and diagnostic analytics and business intelligence across Great American.We'relooking fora leader withexperience and visionat a pivotal momentwhenbusiness intelligence is being reshaped by generative AI, someonewho can help ustransformthoughtfully while continuing to serve the day-to-day insight needs of a complex, diversified specialty insurer.The ideal leader will be forward-looking, operationally grounded, and deeply collaborative.

You will lead a team of 15-20 analysts and BI professionals, sit on the senior leadership team of Business Data & Analytics (BD&A), and serve as thethought leaderto a federated community of 100+ analysts embedded across our divisions and shared services. The title - AVP or VP - will be calibrated to the right candidate.This role reports directly to the Chief Data & Analytics Officer.

Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be onsite four days a week, with the flexibility to work one day remotely. Core inoffice days are Tuesday-Thursday, with the fourth day determined by business needs.

Essential Job Functions & Responsibilities

  • Lead and develop a team of 15-20 analytics and BI professionals.

  • Drive the vision for AI-enabled, conversational access to business data.

  • Lead change management efforts to prepare the organization for GenAI adoption.

  • Oversee andoptimizethe legacy reporting environment while managing transition efforts.

  • Balance current reporting needs with forward-looking analytics innovation.

  • Support and influence a federated community of 100+ analysts across the organization.

  • Collaborate with BD&A leaders to align with enterprise data and AI strategy.

  • Partner with business and technology stakeholders to deliver insight-driven value.

What success looks like

  • Evolvethe teambeyonddelivering dashboards and reportstointerpreting data and surfacing insights that move the business.

  • Empower the communityof more than 100 analystsacross Great American,federated and embedded in our divisions,so that they aresupported, equipped, and connectedto work thatthe Enterprise Analytics team leads.

  • Right-size investment in thelegacy reporting environment without disrupting the business that depends on it.

  • Advance tangibleprogress toward conversational, AI-enabled access to structured data,withappropriategovernanceand organizational change management.

  • Peers in BD&A,business unitleadership, and technologyview you as a partner who builds toward the shared picture.

JobQualifications

  • BachelorsDegree required. Post-graduate degree preferred.

  • 8-10+ yearsof progressive experience in data and analytics, business intelligence, insurance data, or a closely related field, including meaningful leadership experience.

  • Insurance industry experience is strongly preferred.Delivering valuein this rolemeans understanding the data in the context of our business.

  • Mastery of modern BI platformssuch as Tableau and Power BI. Familiarity with legacy platforms like Cognos is aplus, becausepart of this role is leading a thoughtful, multi-year transitionto right-size investment/dependency on them.

  • Working fluency with cloud data platforms,Snowflake and Azure in particular,sufficient to partner credibly with our technology teams and shape the future-state architecture.

  • A genuine point of view on GenAI in the BI space, and the change-management experience to driveadoption, reshapeskill sets, and preparethe workforce forwhat'scoming.

  • Demonstrated executive presence and business fluency.This is a business role reporting through a business leadership chain.The leader must becomfortable in front of senior executives,succinctly communicatehowdatatranslatesinto decisions, andpossessthe abilitytocoachateam to do the same.

What this role is not

  • This isnot a platform specialist role.Weare seekinga business leader who works closely with technologists, not a technologist with a business title.

Business Unit:

Business Data and Analytics

Benefits:

We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.

Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.

*Excludes seasonal employees and interns.


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