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Senior Insurance Data Analytics Jobs in Ohio (NOW HIRING)

Aurelius Group

$91.18 - $125.37/hr

## Manager Data & Analytics (m/w/d)Applyremote type: Growthlocations: Germanytime type: Full timeposted on: Posted 30+ Days Agojob requisition id: JR100246Die Position Manager Data Analytics ...

Benchmark Gensuite

[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 ...

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Senior Insurance Data Analytics information

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 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 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 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 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

[US] Data Analytics Associate

Benchmark Gensuite

Mason, OH • On-site

$55 - $75/hr

Other

Re-posted 29 days ago

Job description

Data Analytics Associate

Full Time
Hybrid - Mason, OH

We are seeking a detail-oriented Data Analytics Associate to join our Data Information Systems team. This role is ideal for an analytical professional with 1-2 years of experience who is passionate about transforming data into actionable insights. The successful candidate will support data-driven decision‑making across the organization by collecting, analyzing, and interpreting complex datasets.

Key Responsibilities
  • Working with Tableau tool to create customer-facing reports on Benchmark application data and scoping said reports
  • Working with customer services teams to finalize efforts for proposal creation.
  • Working with Application DEV teams to finalize data models to bring into the Tableau reports
  • Entail ongoing maintenance to these reports and investigate for data accuracy concerns
Education & Experience
  • Bachelor’s degree in information systems/computer science, with coursework in database management, and computer-related training.
  • 1-2 years of professional experience in data analysis, business intelligence, or related role
  • Must be able to clearly understand and articulate a data science problem and work on it independently.
  • Experience in implementing and optimizing various algorithms of big data analytics, machine learning, and statistical algorithms using computer languages such as SQL.
  • Experience with Python is an added advantage.
  • Extensive background in data mining and statistical analysis.
  • Able to understand various data structures and common methods in data transformation.
  • Excellent pattern recognition, natural language processing (NLP), predictive, and machine learning modelling.
  • Advanced skills in Excel as well as any data visualization tools like Tableau, Power BI, or similar BI tools (familiarity with Tableau and/or Power BI preferred).
  • Advanced ability to draw insights from data and clearly communicate them (verbal/written) to the stakeholders and senior management as required.
  • An ability and interest in working in a fast-paced and rapidly changing environment.
  • Strong commitment to results and responsive, who understands sense of urgency.

Questions about the position? Please contact our HR Team at jobs@benchmarkdigital.com.

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