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Senior Insurance Data Analytics Jobs in Ohio (NOW HIRING)

LHH US

Sr. Data Analyst

Hilliard, OH

$85K - $110K/yr

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 ...

Narwal

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc) * Knowledge of Big Data landscape as ...

Great American Insurance Group

Reporting Analyst

Richfield, OH · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Generally, a minimum of 3 years of experience in data analytics, reporting or a related field. Previous experience in the insurance industry preferred. Completion of or continuing progress toward a ...

Great American Insurance Group

Reporting Analyst

Richfield, OH · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Generally, a minimum of 3 years of experience in data analytics, reporting or a related field. Previous experience in the insurance industry preferred. Completion of or continuing progress toward a ...

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Recommend and implement process improvements within the analytics function. * Uphold data governance, security, and confidentiality standards across all reporting environments. * Participate in ...

EASE Logistics

Senior Data Analyst

Dublin, OH

$81K - $102K/yr

Recommend and implement process improvements within the analytics function. * Uphold data governance, security, and confidentiality standards across all reporting environments. * Participate in ...

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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:

Senior Insurance Data Analytics jobs near you

Sr. Data Analyst

LHH US

Hilliard, OH

$85K - $110K/yr

Full-time

Posted 10 days ago

Job description

LHH is representing a growing distribution organization, seeking a Senior Data Analyst to transform complex operational data into actionable business insights. This position plays a critical role in supporting warehouse operations, transportation, inventory management, and executive decision-making through advanced analytics and reporting.
The ideal candidate is highly analytical, thrives in a fast-moving environment, and can adapt quickly as business priorities evolve. This is an excellent opportunity for a data professional who enjoys solving complex problems, partnering with cross-functional leaders, and driving continuous improvement through data-driven decision-making.
Key Responsibilities
  • Develop, maintain, and optimize interactive dashboards and reports using Power BI to provide visibility into key operational and financial metrics.
  • Write complex SQL queries to extract, cleanse, analyze, and validate data from multiple systems and databases.
  • Analyze distribution, inventory, logistics, fulfillment, transportation, and customer service data to identify trends, risks, and improvement opportunities.
  • Partner with leadership and business stakeholders to understand reporting needs and deliver actionable insights that support strategic objectives.
  • Build and maintain data models, KPIs, scorecards, and forecasting tools to measure operational performance.
  • Investigate data discrepancies and collaborate with IT and business teams to improve data integrity and reporting accuracy.
  • Identify process improvement opportunities and recommend solutions that increase efficiency, reduce costs, and enhance operational performance.
  • Present findings and recommendations to both technical and non-technical audiences.
  • Support ad hoc reporting requests and special projects in a dynamic, high-growth environment.
  • Mentor junior analysts and help establish analytics best practices across the organization.
Qualifications
  • Bachelor's degree in Data Analytics, Business Analytics, Statistics, Computer Science, Information Systems, or a related field.
  • 5+ years of progressive experience in data analysis, business intelligence, reporting, or a related analytics role.
  • Advanced proficiency with SQL, including complex queries, joins, stored procedures, and data manipulation.
  • Strong experience developing dashboards, visualizations, and reporting solutions in Power BI.
  • Experience analyzing large datasets and translating findings into actionable business recommendations.
  • Strong understanding of data modeling, data validation, and reporting best practices.
  • Excellent communication and presentation skills with the ability to influence decision-makers.
  • Proven ability to manage multiple priorities and adapt quickly in an ever-changing business environment.
  • Experience within distribution, logistics, supply chain, warehousing, manufacturing, or transportation industries is strongly preferred.
Preferred Qualifications
  • Experience working with ERP, WMS, TMS, or other operational systems.
  • Knowledge of data warehousing concepts and ETL processes.
  • Exposure to predictive analytics, forecasting, or statistical analysis.
  • Experience leading analytics projects and collaborating across multiple departments.
Pay Details: $85,000.00 to $110,000.00 per year
Search managed by: Zachary Sanders
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.