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Commission Insurance Data Analytics Jobs (NOW HIRING)

Apptad, Inc.

Insurance Lead (P&C)

This is a strategic position, ideal for a seasoned professional with deep expertise in data analytics, AI applications, and client management within the P&C insurance industry. ### Role ...

New

EPIC Brokers

Lead Insurance Data Scientist

Summit, NJ · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

TecTammina

Data Analyst

Chattanooga, TN

... analyst tool/IDQ Knowledge of XML and other databases like DB2, teradata and SQL ... Experience in insurance data models Qualifications Excellent written and verbal communication ...

EPIC Brokers

Lead Insurance Data Scientist

Atlanta, GA · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

EPIC Brokers

Lead Insurance Data Scientist

Chicago, IL · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

Selective Insurance

Data & Analytics Architect

Short Hills, NJ · On-site

$69.25 - $89.25/hr

Selective Insurance is a midsized U.S. domestic property and casualty insurance company with a strong financial performance history. The Data and Analytics Architect will be responsible for designing ...

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All JobsInsurance Data Analytics JobsCommission Insurance Data Analytics Jobs

Commission Insurance Data Analytics information

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$24

$54

$94

How much do commission insurance data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for commission insurance data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is the difference between Commission Insurance Data Analytics vs Insurance Underwriter?

AspectCommission Insurance Data AnalyticsInsurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; certifications in analytics toolsBachelor's in Finance, Business, or related; sometimes actuarial exams
Work EnvironmentData analysis teams, offices, or remote settingsUnderwriting departments, insurance offices
Employer & Industry UsageInsurance companies, brokers, analytics firmsInsurance companies, underwriting agencies
Common Search & ComparisonYesYes

Commission Insurance Data Analytics focuses on analyzing insurance data to optimize sales and commissions, while Insurance Underwriters assess risks to determine policy terms. Both roles are vital in the insurance industry but differ in their core functions and skill sets.

What does a commission insurance data analyst do in insurance?

A commission insurance data analyst examines insurance sales and commission data to identify trends, improve sales strategies, and ensure accurate compensation. They use data analysis tools like Excel or SQL and may create reports to support decision-making within insurance companies.
More about Commission Insurance Data Analytics jobs
What cities are hiring for Commission Insurance Data Analytics jobs? Cities with the most Commission Insurance Data Analytics job openings:
What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
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What job categories do people searching Commission Insurance Data Analytics jobs look for? The top searched job categories for Commission Insurance Data Analytics jobs are:
Commission Insurance Data Analytics jobs near you
Infographic showing various Commission Insurance Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Sr. Data Analyst

Accord Technologies Inc.

Piscataway, NJ • On-site

$87K - $110K/yr

Contractor

Posted 15 days ago

Job description

Senior Data Analyst
Location: Piscataway, NJ (Hybrid/Onsite)
Experience: 10–12+ Years 
Mandatory: Data analyst, Requirements gathering, source data analysis, source-to-target mapping, strong SQL, actuarial or deep insurance domain knowledge, business rule documentation, stakeholder management.Job Summary

We are seeking an experienced Senior Data Analyst with deep expertise in data analysis, business analysis, and insurance/actuarial domains to support enterprise data initiatives. The ideal candidate will have extensive experience gathering business requirements, performing source data analysis, creating source-to-target mappings, documenting business rules, and collaborating with cross-functional stakeholders to deliver high-quality data solutions.

This role requires strong SQL skills, excellent analytical capabilities, and hands-on experience working with actuarial, underwriting, or broker data within the insurance industry. Familiarity with Databricks, Azure, and modern data governance practices is highly desirable.

Key Responsibilities
  • Collaborate with business stakeholders to gather, analyze, and document business and data requirements.
  • Perform detailed source system analysis to understand data structures, relationships, and quality.
  • Develop comprehensive Source-to-Target Mapping (STTM) documents for data migration and integration projects.
  • Analyze complex datasets using advanced SQL to identify trends, anomalies, and business insights.
  • Document business rules, transformation logic, and data validation requirements.
  • Work closely with actuarial, underwriting, and business teams to understand insurance data models and reporting needs.
  • Support data reconciliation, data validation, and quality assurance activities.
  • Participate in data governance initiatives including metadata management, data lineage, and data quality improvements.
  • Collaborate with Data Engineering teams supporting Azure and Databricks-based data platforms.
  • Create functional specifications and support UAT by validating business requirements and data accuracy.
  • Facilitate stakeholder meetings and effectively communicate project status, risks, and recommendations.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Actuarial Science, Business, or a related field.
  • 10–12+ years of experience as a Data Analyst or Business/Data Analyst.
  • Strong experience with:
    • Requirements gathering and business analysis
    • Source data analysis
    • Source-to-Target Mapping (STTM)
    • Business rule documentation
    • Data reconciliation and validation
    • Stakeholder management
  • Advanced SQL skills for complex querying, analysis, and data validation.
  • Hands-on experience in the Insurance industry, preferably within:
    • Actuarial
    • Underwriting
    • Broker data
  • Strong analytical and problem-solving abilities.
  • Excellent communication and documentation skills.
Preferred Qualifications
  • Hands-on actuarial experience.
  • Strong understanding of Property & Casualty and/or Life Insurance data.
  • Experience working with underwriting and broker datasets.
  • Familiarity with Databricks and Microsoft Azure data platforms.
  • Exposure to data governance frameworks, metadata management, and data lineage.
  • Experience supporting enterprise reporting and analytics initiatives.
  • Knowledge of ETL processes and data integration concepts.
  • Experience working in Agile/Scrum environments.
Technical Skills
  • SQL (Advanced)
  • Data Analysis
  • Source-to-Target Mapping (STTM)
  • Business Requirements Documentation
  • Data Reconciliation
  • Data Validation
  • Databricks (Preferred)
  • Microsoft Azure (Preferred)
  • Data Governance
  • Reporting & Analytics
  • Excel (Advanced)
Domain Expertise
  • Insurance
  • Actuarial
  • Underwriting
  • Broker Data
  • Risk & Financial Data