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Senior Insurance Data Analytics Jobs in Ohio (NOW HIRING)

US Bank

Data Analytics - Operations

Cincinnati, OH · Hybrid

$82K - $104K/yr

Present findings and recommendations to stakeholders at all levels, including senior leadership ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Further

Data & Analytics Strategy

Cleveland, OH · Hybrid

This is a leadership role in the organization, and you would not only be a senior SME on client ... data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

Further

Data & Analytics Strategy

Cleveland, OH · On-site

This is a leadership role in the organization, and you would not only be a senior SME on client ... data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes ... Employees receive access to a range of medical, dental, and vision insurance plans, ensuring their ...

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes ... Employees receive access to a range of medical, dental, and vision insurance plans, ensuring their ...

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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, and why are they important?

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

Senior Data Analytics & Insights Analyst

Goosehead

Westlake, OH

$79K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

AboutGoosehead

GooseheadInsurance has been disrupting the insurance industry by giving clients the power of choice,utilizinga smarter marketing approach, and delivering world class service. This is all powered by our focus on hiring andretainingextraordinary people. Our clients trust us with their most valuablepossessionsso,we'remore than just a bit selective when it comes to hiring new team members.

Job Summary

The Senior Data Analytics and Insights Analyst will lead the development of cutting-edge data models, datasets, and dashboards while mentoring junior team members and driving best practices in data analytics and insights. The Senior Data Analytics and Insights Analyst will interact with other teams to form a data-driven culture leveraging metrics and KPIs and strategic analysis on company performance and trends. The role requires the following capabilities: excellent communication skills, especially the ability to respectfully challenge and influence; strong problem-solving/analytical skills, strong data management skills, and business acumen.

Key Responsibilities:

Strategic Data Analysis & Insights:

  • Lead the design, development, and optimization of complex data models, datasets and interactive dashboards using Tableau to guide strategic decision-making.

  • Perform in-depth analyses of large datasets to identify trends, opportunities, and actionable insights.

  • Develop and present key business insights to senior leadership in a clear, concise, and impactful manner.

  • Ensure all BI solutions align with organizational objectives and business goals.

Advanced Data Management & Optimization:

  • Write, optimize, and troubleshoot complex SQL queries to extract and manipulate data across multiple databases, with a primary focus on Snowflake.

  • Oversee the design, enhancement, and maintenance of data pipelines to ensure data accuracy, quality, and efficiency.

  • Serve as the subject matter expert for Snowflake, guiding the organization in leveraging it as the central data platform for advanced analytics.

Collaboration & Leadership:

  • Partner with business units and cross-functional teams to gather requirements and define KPIs, ensuring BI solutions address key business challenges.

  • Act as a trusted advisor to C-suite executives by providing data-driven insights and recommendations.

  • Mentor junior BI team members, fostering a culture of knowledge sharing and continuous improvement.

Skills & Qualifications:

  • Bachelor's degree in Data Analytics, Information Systems, Data Science, or a related field.

  • 5+ years of experience in a BI Analyst or similar role, working with large, complex datasets.

  • Advanced proficiency in SQL, Tableau, and data warehousing concepts, with hands-on experience using Snowflake/Databricks or other cloud-based platforms.

  • Strong background in Salesforce, Workday and Talent Acquisition reporting.

  • Demonstrated ability to communicate technical insights effectively to both technical and non-technical stakeholders, including C-suite executives.

  • Exceptional problem-solving skills and attention to detail.

Preferred:

  • Experience in the insurance industry or a similar data-driven environment.

  • Proficiency in scripting languages such as Python or R.

  • Expertise in data visualization storytelling and dashboard design best practices.

  • Demonstrated Tableau proficiency via Tableau Public portfolio.

Benefits Summary

  • High quality voluntary health, vision, disability, life, and dental insurance programs
  • 401K Matching Plan
  • Employee Stock Purchase Plan
  • Paid holidays, vacation, and sick leave
  • Corporate sponsored programs to enhance employee physical, financial,mentaland emotional wellness
  • Financial Solution Program

Equal Employment Opportunity:

Gooseheadis an equal opportunity employer andcomplies withall applicable federal, state, and local laws, rules, guidelines, and regulations.Gooseheadstrictly prohibits and does not tolerate unlawful discrimination against employees, applicants, or any other covered person because of race, color, religion, creed, national origin, ancestry, ethnicity, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity, transgender status, age, physical or mental disability, veteran status, uniformed service, genetic information, or any other characteristic protected by applicable law. All applicants for employment and allGooseheademployees are given equal consideration based solely on job-related factors, such as qualifications, experience, performance, and availability.

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