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Assistant Insurance Data Analytics Jobs (NOW HIRING)

TecTammina

Data Analyst

Chattanooga, TN · On-site

... 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 ...

Sonoma Consulting Inc.

Data Analytics Lead

Plano, TX

... methodologies Assist in data modelling and analysis to determine key customer insights, drive ... Insurance, BTS, and various other business groups What phase is the project currently in? Ongoing ...

Humetis Group

Data Analytics Specialist

Burlington, MA · On-site

Data Analytics Specialist Location: Burlington, MA Duration: 2-Month Contract Position Overview: We ... Conduct research and support special projects and departmental reporting needs. * Assist in the ...

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 ...

EPIC Brokers

Lead Insurance Data Scientist

Dallas, TX · 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 ...

Adecco

Data Analytics Analyst

Cincinnati, OH · On-site

$31.52/hr

Support development of materials for strategic initiatives and business cases. * Assist in tracking ... life insurance, short-term disability, additional voluntary benefits, EAP program, commuter ...

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Assistant Insurance Data Analytics information

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

As of Aug 31, 2026, the average hourly pay for assistant insurance data analytics in the United States is $20.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.08 per hour, depending on experience, location, and employer.

What is the difference between Assistant Insurance Data Analytics vs Insurance Data Analyst?

AspectAssistant Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsTypically an associate degree or relevant certificationBachelor's degree in data analysis, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, supervisedMore independent analysis, project ownership
Employer & Industry UsageInsurance companies, supporting rolesInsurance firms, leading data projects
Common Search & ComparisonEntry-level support roleAdvanced data analysis position

In summary, Assistant Insurance Data Analytics roles are entry-level positions supporting data teams, often requiring less experience and focusing on assisting with data tasks. Insurance Data Analysts typically have more experience, handle complex analysis independently, and lead projects within insurance companies.

What cities are hiring for Assistant Insurance Data Analytics jobs?

Cities with the most Assistant 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:

What states have the most Assistant Insurance Data Analytics jobs?

States with the most job openings for Assistant Insurance Data Analytics jobs include:

Assistant Insurance Data Analytics jobs near you

Sr. Data Analyst

Accord Technologies Inc.

Piscataway, NJ • On-site

$87K - $110K/yr

Contractor

Re-posted 8 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