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Entry Level Insurance Data Analytics Jobs in Georgia

SynergisticIT

Entry Level Data Analyst

Atlanta, GA · On-site

... Analytics Summit (Florida)-2023 All Positions are open for all visas and US citizens We at ... for entry-level software programmers, Java full-stack developers, Python/Java developers, Data ...

Guidehouse

Data & Analytics Consultant

Atlanta, GA · On-site

$89K - $148K/yr

Translate business questions into data-driven analyses, dashboards, reports, and actionable ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

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Sherrill Insurance Agency

Insurance Agent

Atlanta, GA · On-site

$52K - $67K/yr

Jump-start your career by joining our growing team as an entry-level insurance agent. Candidates ... analyze complex ideas like insurance programs; experience working in customer service is beneficial ...

Sherrill Insurance Agency

Insurance Agent

Atlanta, GA · On-site

$52K - $67K/yr

Jump-start your career by joining our growing team as an entry-level insurance agent. Candidates ... Must be a superb communicator able to carefully analyze complex ideas like insurance programs ...

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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.
Entry Level Data Analyst

Entry Level Data Analyst

SynergisticIT

Atlanta, GA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Since 2010 Synergisticit has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers.
In this Job market also, our candidates can achieve multiple job offers and $100k + salaries.
please check the below links to see the success outcomes and salaries of our candidates .
https://www.synergisticit.com/candidate-outcomes/
https://reg.rf.oracle.com/flow/oracle/cwoh23/OCWExhibitorCatalog/page/OCWexhibitorcatalog
We regularly interact with the Top Tech companies to give our candidates a competitive advantage visit the below videos exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023
https://synergisticit.wistia.com/medias/tmwjwchxz5
https://synergisticit.wistia.com/medias/n8487768di
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://synergisticit.wistia.com/medias/k6t6a1n4kb
https://synergisticit.wistia.com/medias/pgrvq4fgni
https://synergisticit.wistia.com/medias/ce4syhm853
All Positions are open for all visas and US citizens
We at Synergistic understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like pple, google, Paypal, Western Union, Client, visa, Walmart lab s etc to name a few.
Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and are looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
We want Data Science/Machine learning/Data Analyst and Java Full stack candidates
For data Science/Machine learning Positions
REQUIRED SKILLS
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Project work on the technologies needed
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools
Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow
REQUIRED SKILLS For Java /Full stack/Software Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Project work on the skills
Knowledge of Core Java, Javascript, C++, or software programming
Spring boot, Microservices, Docker, Jenkins, Github, Kubernetes, and REST API experience
Excellent written and verbal communication skills
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who match client requirements.
No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or C2C candidates

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