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Entry Level Insurance Data Analytics Jobs in Georgia

STRATEGIC MINDZ LLC

Data Reporting Analyst

Atlanta, GA · On-site

$55 - $65/hr

Health insurance * Vision insurance Data Reporting Analyst Job Summary We are seeking an experienced Data Reporting & Analytics Developer to join a State of Georgia modernization program. You will ...

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Entry Level Insurance Data Analytics information

What is an entry level insurance data analytics job?

Entry level insurance data analytics jobs involve collecting, processing, and analyzing data to help insurance companies make better business decisions. Professionals in these roles typically use statistical tools and software to identify trends, assess risks, and support pricing or policy development. They may also prepare reports and visualizations to communicate findings to other teams. These positions are ideal for recent graduates with strong analytical skills who have an interest in the insurance industry.

What are the key skills and qualifications needed to thrive as an entry level insurance data analytics professional?

To thrive as an Entry Level Insurance Data Analytics professional, you need foundational skills in statistics, data analysis, and proficiency with Excel or similar tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data analytics software such as SQL, Python, R, and insurance industry databases is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this role. These competencies are crucial for accurately interpreting insurance data, supporting business decisions, and conveying insights to both technical and non-technical stakeholders.

What are some common challenges faced by entry level insurance data analytics professionals, and how can they be addressed?

Entry-level professionals in insurance data analytics often encounter challenges such as working with large, complex datasets, understanding industry-specific terminology, and aligning analytical findings with business objectives. To overcome these, it's important to develop strong data management and visualization skills, seek mentorship from experienced colleagues, and regularly communicate with underwriters, actuaries, and business teams to understand the context behind the numbers. Proactively participating in team meetings and taking advantage of on-the-job training can also help bridge knowledge gaps and foster professional growth.

What is the difference between Entry Level Insurance Data Analytics vs Insurance Data Analyst?

AspectEntry Level Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; basic knowledge of analytics toolsBachelor's or higher in data analysis, statistics, or related; some roles prefer certifications
Work EnvironmentEntry-level roles in insurance companies, focusing on data collection and basic analysisMore experienced roles involving complex data modeling and reporting
Employer & Industry UsageInsurance companies, brokers, and agenciesInsurance firms, consulting agencies, and risk management companies

Entry Level Insurance Data Analytics positions focus on foundational data tasks within insurance firms, often requiring less experience and offering training opportunities. Insurance Data Analysts typically have more experience, handling advanced analysis and reporting. Both roles are essential in the insurance industry but differ mainly in complexity and responsibility.

What does an entry level insurance data analyst do in insurance?

An entry level insurance data analyst collects, organizes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with underwriters and actuaries to improve underwriting processes and pricing strategies.

What are the most commonly searched types of Insurance Data Analytics jobs in Georgia?

The most popular types of Insurance Data Analytics jobs in Georgia are:

What are popular job titles related to Entry Level Insurance Data Analytics jobs in Georgia?

For Entry Level Insurance Data Analytics jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Entry Level Insurance Data Analytics jobs in Georgia look for?

The top searched job categories for Entry Level Insurance Data Analytics jobs in Georgia are:

Entry Level Insurance Data Analytics jobs near you
Infographic showing various Entry Level Insurance Data Analytics job openings in Georgia as of August 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 92% In-person, and 8% Hybrid job distribution.

Data Reporting Analyst

STRATEGIC MINDZ LLC

Atlanta, GA • On-site

$55 - $65/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago

Job description

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Vision insurance

Data Reporting Analyst

Job Summary
We are seeking an experienced Data Reporting & Analytics Developer to join a State of Georgia modernization program. You will design, build, and maintain the reporting layer, data pipelines, and analytics products that support program operations, management decision-making, and mandated state and federal reporting.
This role sits at the intersection of data engineering and business intelligence. You will work directly with program staff and business analysts to turn operational data into dashboards, scheduled reports, and analytical datasets that stakeholders rely on.
Key Responsibilities
  • Design, develop, and maintain operational and analytical reports, dashboards, and data visualizations
  • Build and optimize ETL/ELT pipelines to move data from transactional systems into the data warehouse or reporting layer
  • Write, tune, and troubleshoot complex SQL — stored procedures, views, window functions, and performance-critical queries
  • Develop and maintain data models (star/snowflake schemas, dimensional models) supporting reporting and analytics
  • Produce recurring state and federal compliance reports, ensuring accuracy, completeness, and on-time delivery
  • Partner with business analysts and program staff to gather reporting requirements and translate them into technical specifications
  • Implement data quality checks, reconciliation logic, and validation rules across pipelines
  • Support ad-hoc data requests and analysis from program leadership
  • Document data definitions, lineage, business rules, and report specifications
  • Participate in code reviews, testing, and release activities
  • Troubleshoot data discrepancies across source systems and reporting outputs
Mandatory Qualifications
  • Professional experience in data reporting, business intelligence, or analytics development
  • Advanced SQL skills, including query optimization and performance tuning against large datasets
  • Hands-on experience with at least one enterprise BI/reporting tool: Power BI, Tableau, SSRS, Cognos, or MicroStrategy
  • Experience building and maintaining ETL/ELT processes using tools such as Informatica, SSIS, Talend, dbt, or equivalent
  • Working knowledge of relational databases — SQL Server, Oracle, PostgreSQL, or DB2
  • Experience with dimensional data modeling and data warehouse design principles
  • Demonstrated ability to gather reporting requirements directly from non-technical business stakeholders
  • Strong data validation, reconciliation, and quality-assurance practices
  • Experience with version control (Git) and collaborative development workflows
  • Excellent written and verbal communication skills
Desirable Qualifications
  • Experience on state or federal government projects
  • Experience on Healthcare Industry.
  • Experience producing federally mandated reports and understanding of associated compliance requirements
  • Cloud data platform experience — AWS (Redshift, Glue, Athena, S3), Azure (Synapse, Data Factory), or Snowflake
  • Python or R for data analysis, automation, or scripting
  • Experience with modern data stack tooling (dbt, Airflow, Fivetran)
  • Understanding of data governance, master data management, and data cataloging
  • Knowledge of PHI/PII handling and HIPAA-adjacent data privacy requirements
  • Experience with agile delivery methodologies
  • Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field