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Senior Insurance Data Analytics Jobs in Ohio (NOW HIRING)

[US] Data Analytics Associate

Mason, OH ยท 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 ...

[US] Data Analytics Associate

Mason, OH ยท 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 ...

$75 - $95/hr

Conduct data analyses for key controls, derive improvement measures, and support their ... Your contact person for this vacancy is Marc Trautmann (Senior HR Manager, +49 6196 76156 1060)

Senior Data Analyst

Mason, OH ยท 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 ...

Showing results 41-60

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:

[US] Data Analytics Associate

Benchmark Gensuite

Mason, OH โ€ข Hybrid

$55K - $56K/yr

Full-time

Re-posted 29 days ago


Job description

Data Analytics Associate

Full Time
Hybrid - Mason, OH


Innovate with Benchmark Gensuite as a Data Analytics Associate
Everyone wants to make the world a better place. We work to make it happen. By joining Benchmark Gensuite and exploring careers in the EHS, Sustainability, and ESG Disclosure Reporting space, you'll be helping customers throughout the business community empower informed decision-making, improve employee safety, and lessen their environmental footprint while creating a culture that values diversity, equity, and inclusion. Join us and help make the corporate world a better place for the planet and better for its employees.
Benchmark Gensuite jobs play a crucial role in helping develop our unified EHS, Sustainability, and ESG digital transformation software solutions that enable cross-functional performance excellence, enhance businesses' sustainability efforts, and help them achieve their ESG goals. With our incredible global team, the collaborative spirit of our subscribers and partners, and the continuous innovation in exciting new technologies like Artificial Intelligence, Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and evolve your skills to develop fresh ideas and initiatives.
Benchmark Gensuite Benefits
At Benchmark Gensuite, your hard work is rewarded. We offer annual bonus programs, regular team-building events, and off-cycle reviews to promptly recognize and reward excellent performers. With engaging team activities including happy hours and exciting virtual events, we actively encourage our teams to connect and build a strong, supportive, and fun rapport! Our Benchmark Gensuite Team Member Networks, like the Respect for Diversity Group and the Sustainability Group, offer a safe and supportive space, bringing together team members who share a common identity and empowering them to voice their ideas and initiate action. Explore Benchmark Gensuite job openings and come join us as we combine our collective creativity and passion to meet and exceed the expectations of our customers.
About Benchmark Gensuite...


Benchmark Gensuite enables companies to implement robust, cross-functional digital systems for EHS, Sustainability, and ESG Reporting through a unified digital platform-locally, globally, and across diverse operating profiles.
With intuitive, best-practice-based process functionality, flexible configurations, and powerful extensions, the Benchmark Gensuite platform has helped companies worldwide manage their EHS, Sustainability; Quality; Operational Risk and Compliance; Product Stewardship, and Supply Chain Risks for over two decades; and now organically integrated with cutting-edge ESG disclosure reporting and management solutions. Join over 3 million users that trust Benchmark Gensuite with their software system needs and benefit from rapid deployment and adoption, immediate return on investment (ROI), service excellence, and collaborative innovation.

About the Role


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 course-work 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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