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Insurance Data Analytics Jobs in Cleveland, OH (NOW HIRING)

Hylant

Lead Data & Analytics Architect

Cleveland, OH · On-site

Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk. * Six or more years of experience in data architecture, analytics ...

PNC Bank

Data Analyst - AMG

Strongsville, OH · On-site

$52K - $127K/yr

... Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies ... This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act ...

A Renewed Mind

Quality Data Analyst

Berea, OH · On-site

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Healthcare ... Possess a valid Ohio Driver's License with a safe driving record and valid insurance.

OhioGuidestone

Quality Data Analyst

Berea, OH · On-site

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Healthcare ... Possess a valid Ohio Driver's License with a safe driving record and valid insurance.

Goosehead

Senior Sales Analyst

Westlake, OH · On-site

$79K - $100K/yr

... in data analytics and insights. The Senior Sales Analyst will interact with other teams to form a ... Preferred: * Experience in the insurance industry or a similar data-driven environment.

nelsen corporation

Data & Pricing Analyst

Medina, OH · On-site

$70K - $89K/yr

... insurance, and more * Generous Paid Time Off Essential Duties and Responsibilities To perform this ... Bachelor's degree in Business, Finance, Data Analytics, or related field (or equivalent experience ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Cleveland, OH

Insurance Data Analytics information

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$53

$91

How much do insurance data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for insurance data analytics in Cleveland, OH is $53.10, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $60.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Cleveland, OH? The most popular types of Insurance Data Analytics jobs in Cleveland, OH are:
What are popular job titles related to Insurance Data Analytics jobs in Cleveland, OH? For Insurance Data Analytics jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Cleveland, OH look for? The top searched job categories for Insurance Data Analytics jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Insurance Data Analytics jobs? Cities near Cleveland, OH with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Cleveland, OH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $110,438 per year, or $53.1 per hour.

Senior Data Analytics & Insights Analyst

Goosehead

Westlake, OH • On-site

$79K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 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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