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Entry Level Insurance Data Analytics Jobs in Georgia

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

We deliver insights, strategies, data analytics, and technical expertise to accelerate data ... Employer Paid Life and Disability Insurance, STD and LTD * Employee Assistance Plan and Employee ...

New

SpendHQ

Data Analyst

Atlanta, GA · On-site +1

Build and maintain strong relationships with customers, serving as a trusted data and analytics ... Health insurance * Performance bonus * Remote work policy * Flexible working hours * Equity Program

Hertz

Commercial Data Analyst

Atlanta, GA · On-site

$65K/yr

Develop models and help define a holistic analytics approach, especially as it relates to the ... Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness * Perks & Discounts ...

Hertz

Commercial Data Analyst

Atlanta, GA

$65K/yr

Develop models and help define a holistic analytics approach, especially as it relates to the ... Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness * Perks & Discounts ...

CRH

Sales Operations Analyst - Entry Level

Atlanta, GA · Hybrid

Sales Operations Analyst - Entry Level Oldcastle, a CRH company, is reinventing what's possible in ... Bachelor's or Master's degree in Business, Data Analytics, or a related field. * Strong analytical ...

InterSources Inc.

Data Analyst

Atlanta, GA

Ensure the insured relationship is correctly set to "Self." o Checkout Status: Investigate patients who have not checked out and apply corrective actions. · Clinical Data Integrity · Analyze ...

Apex Systems

Data Analyst

Atlanta, GA

Job#: 3030376 Data Analyst Location: Charlotte, NC or Atlanta, Georgia (Onsite 5 days a week ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

CRH

Sales Operations Analyst - Entry Level

Atlanta, GA · On-site

Sales Operations Analyst - Entry Level Architectural Products Group Atlanta, Georgia, United States ... Bachelor's or Master's degree in Business, Data Analytics, or a related field. * Strong analytical ...

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Entry Level Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as an Entry Level Insurance Data Analytics professional, and why are they important?

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 professionals in insurance data analytics, 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 are entry level insurance data analytics jobs?

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 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 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:
Entry Level Insurance Data Analytics jobs near you
Infographic showing various Entry Level Insurance Data Analytics job openings in Georgia as of May 2026, with employment types broken down into 8% Internship, 51% Full Time, 33% Part Time, and 8% Contract. Highlights an 100% In-person job distribution.
Data Applications Analyst

Data Applications Analyst

MedCura Health

Stone Mountain, GA • Hybrid

Full-time

Posted 9 days ago

Job description

The Data Applications Analyst plays a critical role in advancing MedCura Health’s mission by supporting enterprise-wide data analysis and optimizing application performance across our multi-site Federally Qualified Health Center (FQHC) network. This hybrid position integrates technical application knowledge with advanced data analytics to enhance clinical care delivery, improve patient access, strengthen financial operations, and support innovation in emerging technologies such as Artificial Intelligence (AI)-enabled medical documentation.


  • Bachelor’s degree in Health Informatics, Data Science, Information Systems, or related field (Master’s preferred).
  • Minimum 3 years of experience in healthcare data or applications analysis, preferably in an FQHC or community health setting.
  • Proficiency in Structured Query Language (SQL), Excel, and data visualization tools (Power BI, Tableau).
  • Experience with EHR systems (e.g., athenahealth/athenaOne, NextGen, eClinicalWorks, Epic), telephony platforms, and AI-enabled documentation tools.
  • Strong understanding of healthcare operations, clinical workflows, and financial reporting.
  • Excellent communication, problem-solving, and stakeholder engagement skills.

Application & Data Integration:

  • Manage and analyze data from telephony platforms (IVR/VoIP) to optimize patient access and call center performance.
  • Extract and interpret clinical and operational metrics from the Electronic Health Record (EHR) to support quality improvement and compliance initiatives.
  • Support deployment and data integration of AI-enabled medical scribing tools, ensuring alignment with clinical documentation workflows.
  • Collaborate with finance and revenue cycle teams to analyze financial operations data, including billing, reimbursement, and budgeting.

Analytics and Reporting:

  • Design and maintain dashboards and reports using Business Intelligence (BI) tools (e.g., Power BI, Tableau) to support executive decision-making and operational efficiency.
  • Conduct data validation, root cause analysis, and performance trending across departments.
  • Translate complex datasets into clear, actionable insights for leadership and frontline teams.
  • Ensure data integrity and compliance with Health Insurance Portability and Accountability Ac (HIPAA) and other regulatory standards.

Cross Functional Collaboration:

  • Partner with clinical, operational, IT, and finance stakeholders to understand data needs and deliver tailored solutions.
  • Participate in cross-functional initiatives involving system upgrades, workflow redesign, and technology adoption.

Provide training and support to end-users on data tools and reporting platforms.

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