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

CYNET SYSTEMS

Data Analytics

Mason, OH · On-site

$50 - $55/hr

Experience working in Healthcare, Health Insurance, Financial Services, or other highly regulated ... Data Analysis & Data Visualization. * Data Governance. * Statistical Analysis. * Power BI.

US Bank

Data Analytics 5 - Operations

Cincinnati, OH · On-site

$82K - $104K/yr

We're seeking a Senior Data Analyst who loves working with data, asking the right questions, and ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Experience in Healthcare / Insurance / Data Analytics platforms. * Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.). * Experience in data governance and data quality frameworks.

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site +1

$109K - $131K/yr

Great American Insurance Group's member companies are subsidiaries of American Financial Group. We ... Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department.

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Great American Insurance Group's member companies are subsidiaries of American Financial Group. We ... Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department.

Belcan

Data Analyst

West Chester, OH

$35 - $38/hr

Apply data analytics, digital tools, and AI to assess current performance and identify improvements ... Benefits offered MAY include health, dental, vision, and life insurance; 401(k); education ...

Communicarehealth

Senior Data Analyst

Blue Ash, OH · On-site

$82K - $104K/yr

Key Responsibilities Reporting & Analytics * Develop, maintain, and distribute daily, weekly, and ... Monitor upfront collections, insurance verification, and authorization performance * Support payer ...

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Insurance Data Analytics information

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How much do insurance data analytics jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for insurance data analytics in Cincinnati, OH is $52.53, according to ZipRecruiter salary data. Most workers in this role earn between $42.21 and $59.52 per hour, depending on experience, location, and employer.

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 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.

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.

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.

What are the most commonly searched types of Insurance Data Analytics jobs in Cincinnati, OH?

The most popular types of Insurance Data Analytics jobs in Cincinnati, OH are:

What are popular job titles related to Insurance Data Analytics jobs in Cincinnati, OH?

For Insurance Data Analytics jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in Cincinnati, OH look for?

The top searched job categories for Insurance Data Analytics jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Insurance Data Analytics jobs?

Cities near Cincinnati, OH with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $109,259 per year, or $52.5 per hour.

Data Analytics

Mason, OH • On-site

CYNET SYSTEMS
IT Services • 501 - 1,000 employees
Learn more about CYNET SYSTEMSexternal

$50 - $55/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

Job description

Job Overview:

Pay Range: $50.00hr - $55.00hr

Requirement/Must Have:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or related field.
  • 8+ years of experience in Data Analytics, Business Intelligence, Reporting, or Data Warehousing.
  • Advanced expertise in SQL, including complex querying, optimization, indexing strategies, and performance tuning.
  • Strong experience in data modeling, dimensional modeling, and database design.
  • Proven experience developing enterprise dashboards and reports using Power BI and/or Tableau.
  • Experience creating semantic models, datasets, data marts, and reporting frameworks.
  • Strong understanding of BI architecture, reporting governance, and analytics best practices.
  • Experience leading technical teams and delivering enterprise-scale reporting solutions.
  • Excellent analytical, problem-solving, and stakeholder management skills.
  • Strong verbal and written communication skills with the ability to present insights to executive leadership.

Responsibilities:

  • Lead the design, development, and implementation of enterprise reporting and analytics solutions.
  • Translate business requirements into scalable and efficient BI dashboards, reports, and data models.
  • Develop and optimize complex SQL queries, stored procedures, views, and large-volume data processing solutions.
  • Design and maintain dimensional and relational data models to support reporting and analytics initiatives.
  • Drive data quality, reporting governance, and BI best practices across the organization.
  • Build interactive dashboards, scorecards, and executive reporting solutions using Power BI and/or Tableau.
  • Define reporting standards, semantic models, KPI frameworks, and visualization best practices.
  • Collaborate with business stakeholders to identify opportunities for data-driven decision-making.
  • Analyze large datasets to generate actionable insights and business recommendations.
  • Lead technical teams and mentor developers, analysts, and BI engineers.
  • Participate in BI architecture reviews and data platform strategy discussions.
  • Ensure optimal report performance, scalability, security, and maintainability.
  • Work closely with Data Engineering, Product, Operations, and Business teams to deliver analytics solutions.
  • Support release planning, production deployments, and ongoing reporting enhancements.

Nice to Have:

  • Experience with Python for data analysis and automation.
  • Exposure to AI/ML-driven analytics solutions.
  • Experience with enterprise reporting modernization initiatives.
  • Knowledge of healthcare data domains such as Claims, Membership, Provider, or Clinical Data.
  • Experience working in Healthcare, Health Insurance, Financial Services, or other highly regulated industries.
  • Exposure to cloud-based analytics platforms such as Azure, AWS, or Google Cloud.
  • Experience with ETL/ELT frameworks and data integration processes.
  • Knowledge of data governance, data quality, and metadata management practices.
  • Experience with Agile delivery methodologies and DevOps processes.
  • Relevant certifications in Power BI, Tableau, Azure Data, or cloud analytics technologies.

Skills:

  • Advanced SQL.
  • Query Optimization & Performance Tuning.
  • Data Modeling.
  • Data Warehousing.
  • Data Analysis & Data Visualization.
  • Data Governance.
  • Statistical Analysis.
  • Power BI.
  • Tableau.
  • Dashboard Development.
  • Executive Reporting.
  • Semantic Models.
  • KPI & Metrics Design.
  • Reporting Governance.
  • SQL Server.
  • Oracle.
  • PostgreSQL.
  • Snowflake.
  • Azure SQL.
  • Azure Data Services.
  • AWS Analytics Services.
  • Databricks.
  • Data Lake Architecture.
  • Technical Leadership.
  • Solution Design.
  • Stakeholder Management.
  • Team Mentoring.
  • Strategic Decision Making.
  • Business Requirement Analysis.

Qualification And Education:

  • 8+ Years Data Analytics / Business Intelligence / Reporting / Data Warehousing.
  • 8+ Years Advanced SQL Development.
  • 8+ Years SQL Query Optimization & Performance Tuning.
  • 8+ Years Data Modeling & Database Design.
  • 8+ Years Dimensional Modeling.
  • 5+ Years Power BI Dashboard & Report Development.
  • 5+ Years Tableau Dashboard & Report Development.
  • 5+ Years BI Architecture & Reporting Solutions.
  • 5+ Years Executive Reporting & KPI Framework Design.
  • 5+ Years Semantic Models, Data Sets & Data Marts.
  • 5+ Years Reporting Governance & BI Best Practices.
  • 3+ Years Large-Scale Data Analysis.
  • 3+ Years Stakeholder Management & Business Requirement Analysis.
  • 3+ Years Technical Leadership & Team Mentoring.
  • 3+ Years Enterprise Reporting Solution Delivery.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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