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Claims Data Analyst Jobs (NOW HIRING)

Data Analyst

Trenton, NJ · On-site

$65K - $71K/yr

Trenton Health Team (THT) is seeking a Data Analyst to join our Data & Analytics team. In this role ... Familiarity with electronic health record and medical claims data * Prior experience manipulating ...

Data Analyst

Trenton, NJ · On-site

$65K - $71K/yr

Trenton Health Team (THT) is seeking a Data Analyst to join our Data & Analytics team. In this role ... Familiarity with electronic health record and medical claims data * Prior experience manipulating ...

Experience analyzing policy, premium, and claims data. * Strong Excel skills, including PivotTables, VLOOKUP/XLOOKUP, and data validation techniques. * Experience identifying and resolving data ...

Health Care Data Analyst - Remote The Research Associate/Health Care Data Analyst provides high-level professional claims analytics work related to Medicaid and conducts quantitative analyses ...

Senior Data Analyst

Stamford, CT · On-site +1

$91K - $115K/yr

Whether you're pulling claims data, building dashboards, or modeling performance trends, you're ... Analyze structured healthcare data (e.g., claims, eligibility, prior authorization) to identify ...

Senior Data Analyst

Stamford, CT · Remote

$91K - $115K/yr

Whether you're pulling claims data, building dashboards, or modeling performance trends, you're ... Analyze structured healthcare data (e.g., claims, eligibility, prior authorization) to identify ...

Senior Data Analyst

Stamford, CT · Remote

$88K - $111K/yr

Whether you're pulling claims data, building dashboards, or modeling performance trends, you're ... Analyze structured healthcare data (e.g., claims, eligibility, prior authorization) to identify ...

Our company provides application analysis, design, development and programming, software ... claims data knowledge (Good To have) 5) Health care or Life science domain knowledge is Must ...

Senior Data Analyst

$88K - $111K/yr

Senior Data Analyst As a Senior Data Analyst you will be in a unique position to assist a growing ... claims data and/or claims adjudication systems/processes * 7+ years of database/software ...

You will move beyond standard reporting to lead complex analyses, with AI first mentality serving as a trusted advisor to key stakeholders by translating healthcare claims data into clear, actionable ...

You will move beyond standard reporting to lead complex analyses, with AI first mentality serving as a trusted advisor to key stakeholders by translating healthcare claims data into clear, actionable ...

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Claims Data Analyst information

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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.

Business Data Analyst

Inizio Partners

Jersey City, NJ

Full-time

Posted 6 days ago


Job description

Role – BDA

Location – JC, NJ (3-4 days reporting in office)

Type – Both C2C and FTE

Job Description -

Job Summary:

We are seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis, and transformation to support enterprise-level initiatives in the Property & Casualty (P&C) Insurance domain. The ideal candidate will bring hands-on expertise in SQL, data mapping, and business analysis, along with deep domain knowledge of policy and claims data. This role requires close collaboration with business stakeholders, SMEs, and technical teams to drive data accuracy, consistency, and value.

Key Responsibilities:

  • Perform end-to-end data analysis, including data profiling, validation, and transformation for large-scale data integration and reporting projects.
  • Develop source-to-target data mappings (STTM) and documentation based on business requirements.
  • Collaborate with business users and stakeholders to gather, analyze, and translate functional requirements into technical specifications.
  • Work with data engineers and developers to implement and validate data consolidation, standardization, and transformation logic.
  • Optimize complex SQL queries for performance and accuracy in handling large datasets.
  • Participate in data quality assessments and recommend data cleansing or enrichment strategies.
  • Leverage domain knowledge of Property & Casualty Insurance—including policy administration and claims lifecycle—to ensure data alignment with business processes.
  • Facilitate communication between business SMEs, data modelers, and technical teams for successful data delivery and adoption.

Required Skills & Experience:

  • 5+ years of hands-on experience in data analysis, data mapping, and data transformation within enterprise data environments.
  • Strong proficiency in SQL, including analytical functions, query optimization, and performance tuning.
  • Proven experience developing source-to-target mapping (STTM) documents and understanding ETL/data flow processes.
  • Exposure to data consolidation, standardization, and transformation across heterogeneous data sources.
  • In-depth knowledge of the Property & Casualty Insurance domain,
  • Exceptional communication and interpersonal skills—able to work effectively with technical teams, business stakeholders, and subject matter experts.
  • Strong documentation skills with the ability to create clear and concise technical and business artifacts.