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Claims Data Analyst Jobs (NOW HIRING)

Conducts analysis/audit/review of warranty data/costs and provides detailed reporting for product ... Prepares ad-hoc reports as needed showing volume, types, and disposition of claims handled.

Do you enjoy digging into complex medical and pharmacy claims data, building SQL analyses, and translating results into client-ready insights? Our opportunity may be for you. Join Segal's Benefit ...

Do you enjoy digging into complex medical and pharmacy claims data, building SQL analyses, and translating results into client-ready insights? Our opportunity may be for you. Join Segal's Benefit ...

Do you enjoy digging into complex medical and pharmacy claims data, building SQL analyses, and translating results into client-ready insights? Our opportunity may be for you. Join Segal's Benefit ...

Do you enjoy digging into complex medical and pharmacy claims data, building SQL analyses, and translating results into client-ready insights? Our opportunity may be for you. Join Segal's Benefit ...

Understanding of healthcare data such as claims data, sales data, pharmacy sales data etc. * Hands-on experience in data aggregation and analysis using Python, SQL or similar * Prior experience with ...

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Claims Data Analyst information

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$15

$25

$44

How much do claims data analyst jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for claims data analyst in the United States is $25.60, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Claims Data Analyst position, and why are they important?

To thrive as a Claims Data Analyst, you need strong analytical abilities, attention to detail, and a background in data analysis or statistics, often supported by a relevant bachelor's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and claims management systems is highly valued, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong problem-solving skills, effective communication, and the ability to collaborate across departments are important soft skills in this role. These attributes enable you to accurately analyze claims data, generate actionable insights, and support data-driven decision-making within insurance or healthcare organizations.

What does a Claims Data Analyst do?

A Claims Data Analyst collects, analyzes, and interprets insurance claims data to identify trends, detect fraud, and improve operational efficiency. They work with large datasets, utilizing statistical tools and software to generate reports and insights that help insurance companies make data-driven decisions. Their role often involves collaborating with claims adjusters, underwriters, and other stakeholders to streamline processes and reduce costs. Strong analytical skills, attention to detail, and proficiency in data visualization tools are essential for success in this role.

What does a claims analyst do?

A claims data analyst reviews and interprets insurance claims data to identify trends, discrepancies, and potential fraud. They use data analysis tools and techniques to ensure accuracy, support decision-making, and improve claims processing efficiency. Strong analytical skills and knowledge of insurance policies are essential for this role.

What are some common challenges a Claims Data Analyst may face in their day-to-day work?

One common challenge for Claims Data Analysts is managing large volumes of complex data while ensuring accuracy and compliance with regulatory standards. Analysts must often work with incomplete or inconsistent data sets, requiring a keen eye for detail and strong problem-solving abilities to identify trends and discrepancies. Balancing multiple projects, meeting tight deadlines, and communicating technical insights to non-technical stakeholders are also typical aspects of the role. Those who excel in adapting to evolving data systems and collaborating effectively with claims adjusters, underwriters, and management teams often find the work both challenging and rewarding.

What is claims data analysis?

Claims data analysis involves examining insurance claim records to identify patterns, trends, and discrepancies related to healthcare or insurance services. A Claims Data Analyst uses statistical tools and software to interpret large datasets, supporting decision-making, fraud detection, and process improvements within insurance or healthcare organizations.

How much do claims analysts make in the US?

Claims analysts in the US typically earn a median annual salary of around $50,000 to $70,000, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts or those with specialized skills can earn higher salaries, often supplemented with benefits and bonuses.

What jobs pay 2000 a day?

Claims Data Analysts typically do not earn $2,000 a day; such high daily earnings are more common in specialized roles like senior consultants, investment bankers, or high-level executives. These positions often require extensive experience, advanced skills, and certifications, and may involve long hours or high-pressure environments.
More about Claims Data Analyst jobs
What cities are hiring for Claims Data Analyst jobs? Cities with the most Claims Data Analyst job openings:
What states have the most Claims Data Analyst jobs? States with the most job openings for Claims Data Analyst jobs include:
Infographic showing various Claims Data Analyst job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 37% Full Time, and 58% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $53,239 per year, or $25.6 per hour.
Claims - Data Analyst I-III

Claims - Data Analyst I-III

The Cincinnati Insurance Companies

Fairfield, OH • On-site

$55K - $90K/yr

Full-time

Posted 10 days ago


Cincinnati Insurance Company rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

51st of 263 rated insurance


Job description

Make a difference with a career in insurance
At The Cincinnati Insurance Companies, we put people first and apply the Golden Rule to our daily operations. To put this into action, we're looking for extraordinary people to join our talented team. Our service-oriented, ethical, knowledgeable, caring associates are the heart of our vision to be the best company serving independent agents. We help protect families and businesses as they work to prevent or recover from a loss. Share your talents to help us reach for continued success as we bring value to the communities we serve and demonstrate that Actions Speak Louder in Person®.
If you're ready to build productive relationships, collaborate within a diverse team, embrace challenges and develop your skills, then Cincinnati may be the place for you. We offer career opportunities where you can contribute and grow.
Start your journey with us
Our Claims Operations department is currently seeking a Claims Data Analyst (I-III). A Claims Data Analyst is responsible for understanding and analyzing claims data, creating reports, completing data requests, identifying and interpreting data trends, and presenting results to stakeholders. This analyst will work closely with internal and external customers to translate business needs into clear requirements and deliver solutions. This role involves frequent collaboration with IT to enhance deliverables. As a Claims Data Analyst, the responsibilities scale with experience and proficiency, so the candidate can be expected to fulfill leadership roles on projects, mentor fellow team members, establish and maintain relationships with internal and external customers, and independently manage workload.
Starting pay: The pay range for this position is $55,000 - $90,000 annually. Pay is based on the applicant's education, experience, location, knowledge, skills and abilities. Eligible associates may also receive an annual cash bonus and stock incentives based on company and individual performance.
Be ready to:
  • participate in or lead meetings with customers to understand data and reporting needs

  • build strong relationships with Claims leadership and stakeholders

  • create routine and ad hoc reports based on requests throughout the organization

  • develop and validate reports, dashboards, and large-scale trending analyses

  • extract and validate information from multiple data sources

  • perform statistical analyses for projects and summarize results

  • identify trends in data and provide actionable insights

  • partner with IT to investigate data discrepancies, resolve data issues, document requirements, and test system enhancements

  • understand how claims data is transformed from a source system to multiple downstream systems, including how the data is used in legacy systems, agency/insured portals, and in corporate data warehouses

  • help define and improve reporting processes

  • independently review and interpret data requests and follow through with timely reporting

  • ensure accuracy and consistency of claims data across data sources

  • serve as a subject matter expert for Claims data on corporate-level projects

  • explore and implement new reporting tools and solutions

  • proactively find ways to improve and automate processes, keeping efficiency at the forefront of work efforts

  • participate in peer review and mentor other analysts, depending on experience

Be equipped with:
  • the ability to proactively identify, build, and maintain relationships with stakeholders

  • strong problem-solving skills

  • keen attention to detail

  • clear written and verbal communication skills

  • ability to present complex information in an understandable and compelling manner

  • fluency with advanced Microsoft® Excel functionality including pivot tables, Power Query, combination charts, vlookups, and complex calculations

  • experience with data analysis, reporting, and creating queries to extract data

  • knowledge of Power BI or other data visualization software preferred

  • ability to manage multiple projects and meet deadlines independently

  • quick to learn new technical concepts and adapt to change

  • focus on improving processes and finding efficiencies

  • experience with or willingness to learn Excel macros, VBA, or other common coding languages (i.e. SAS, SQL, or DAX, etc.),

Bring education and experience from:
  • qualified candidates have earned a bachelor's degree in business, mathematics, statistics or information technology-related fields or related experience

  • preferred knowledge of insurance industry and risk management

  • professional insurance designations are preferred but not necessary

  • knowledge of statistical analyses

  • familiar with data models and tools like PowerPivot

  • preferably 2+ years hands-on experience with reporting tools like SAP Business Warehouse, Power BI, Cognos or other tools for analytics and reporting

  • experience using SAS, R, SPSS or other statistical packages is desirable

Enhance your talents
Providing outstanding service and developing strong relationships with our independent agents are hallmarks of our company. Whether you have experience from another carrier or you're new to the insurance industry, we promote a lifelong learning approach. Cincinnati provides you with the tools and training to be successful and to become a trusted, respected insurance professional - all while enjoying a meaningful career.
Enjoy benefits and amenities
Your commitment to providing strong service, sharing best practices and creating solutions that impact lives is appreciated.To increase the well-being and satisfaction of our associates, we offer a variety of benefits and amenities. Learn more about our benefits and amenities packages.
Embrace a diverse team
As a relationship-based organization, we welcome and value a diverse workforce. We grant equal employment opportunity to all qualified persons without regard to race; creed; color; sex, including sexual orientation; religion; national origin; age; disability; or any other basis prohibited by law. Learn more about the Federal Employment Notices.

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