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Entry Level Insurance Data Analytics Jobs in Georgia

Understanding of Group Insurance data domains * Basic understanding of data concepts (databases ... Detail-oriented with good analytical thinking. * Good communicator - able to ask the right ...

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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:

What cities in Georgia are hiring for Entry Level Insurance Data Analytics jobs?

Cities in Georgia with the most Entry Level Insurance Data Analytics job openings:

Infographic showing various Entry Level Insurance Data Analytics job openings in Georgia as of September 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 Analyst

Atlanta, GA • On-site

ExlService Holdings, Inc.
IT Services • 10K+ employees

Full-time

Posted 12 days ago


ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Base Compensation Range: 50,000 - 80,000

The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Data Profiling & Analysis

  • Run basic data profiling on datasets to check for completeness, accuracy, and consistency.
  • Document findings and flag data quality issues to the team.
  • Help prepare simple data quality reports for stakeholder review.

Microsoft Purview

  • Learn and use Microsoft Purview to support day-to-day data governance activities.
  • Help register data assets and maintain entries in the data catalog.
  • Follow established governance processes and document steps as you go.

Business Terms & Data Rules

  • Work with business teams to understand how data is used in their day-to-day operations.
  • Help draft clear definitions for business terms and basic data rules based on profiling results.
  • Keep the business glossary updated and organized.

Data Standardization

  • Support efforts to standardize data formats, naming conventions, and values across systems.
  • Flag inconsistencies and coordinate with the team on clean-up activities.
    What We're Looking For
    Education
  • Graduate with a degree in Computer Science, Information Systems, Business, or any related field.
    Skills & Knowledge
  • Understanding of Group Insurance data domains
  • Basic understanding of data concepts (databases, tables, data types).
  • Comfortable working with Microsoft Excel or similar tools.
  • Exposure to SQL.
  • Familiarity with Microsoft tools (Teams, SharePoint, Excel) is helpful.
    Personal Qualities
  • Detail-oriented with good analytical thinking.
  • Good communicator - able to ask the right questions and explain things clearly.
  • Willing to learn new tools and processes with guidance.
  • Organized, reliable, and comfortable working in a team

Graduate in Computer Science, Data Science, Informatics, or a related field. 2-3 years of experience in data informatics or data analysis.

Develop and manage small data informatics projects. Ensure adherence to data informatics standards. Develop and deliver training sessions. Provide feedback to junior team members.


What ExlService Holdings employees say

Pay

Hours and flexibility

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