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Entry Level Insurance Data Analytics Jobs in Georgia

CapTech Consulting

Data Analyst

Atlanta, GA · On-site

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Aflac Incorporated

Data Analyst

Columbus, GA · On-site +1

$52K - $80K/yr

Knowledge of the operations of the business and the insurance industry preferred. Ability to ... Bachelor's Degree in Analytics, Computer Science or a related field. * 0 - 2+ years of job-related ...

Aflac

Data Analyst

Columbus, GA · On-site +1

$52K - $80K/yr

... of the business and the insurance industry preferred. • Ability to successfully work ... Bachelor's Degree in Analytics, Computer Science or a related field. * 0 - 2+ years of job-related ...

Pwc

AI & GenAI Data Scientist - Manager

Atlanta, GA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Jj

Data and Risk Mgmt Sr QS Specialist

Athens, GA · On-site

... and insure against potential risks to the organization.Assesses and improves quality analysis ... Partners with data analytics team(s) and leverages data analytics tools to create dashboards ...

RELX

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates ...

Lexisnexis Risk Solutions

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates ...

Tessera

Data Analyst I

Fort Stewart, GA · On-site

$69K/yr

Full-Time benefits of a Data Analyst I at Tessera include ... Medical, Dental, Vision, Life & Short-Term Disability Insurance * Elective 401(k) retirement plan ...

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All JobsInsurance Data Analytics JobsEntry Level Insurance Data Analytics JobsEntry Level Insurance Data Analytics Jobs in Georgia

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:

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 Analyst

CapTech Consulting

Atlanta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 21 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech's Data Analysts work within a collaborative, team environment to help define and deliver innovative solutions to our clients. At the intersection of data and strategy, Data Analysts play a key role in capturing requirements, designing business processes and data models, and delivering actionable data to stakeholders. Data Analysts are passionate about interpreting data to help our clients make informed decisions and they are driven by a desire to solve our clients' most complex business problems. Data Analysts work alongside like-minded peers who share their commitment to excellence and with visionary leaders who are invested in their success.
Specific job responsibilities will vary by project role, but may include:
  • Quantify ambiguous business problems by analyzing business processes, data, and systems and gathering data requirements from clients
  • Implement data governance best practices by capturing data definitions, identifying data stewards, and data transformations through source-to-target mappings
  • Develop data collection systems, implement databases and analytics to optimize efficiency
  • Conduct data quality analysis and provide recommendations for effective quality assurance processes that improve data health
  • Interpret data and analyze results using statistical techniques that provide valuable insights and guide decision making across the business
  • Develop reports using modern data visualization tools and best practices to surface valuable insights to end-users
  • Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers to build solutions and interpret results
  • Collaborate with other data workstreams (Data Engineers, Data Architects, Data Scientists, Product Owners) on specific projects

Qualifications
Typical experience for successful candidates includes:
  • Experience working in an Agile development environment, including requirements definition and testing
  • Knowledge of statistics and experience using statistical languages and packages for analyzing large datasets
  • Demonstrable experience in the design of data models, database design development, data profiling, and various data analysis tools
  • Demonstrable experience with ETL/ELT, data ingestion, and data munging/wrangling
  • Experience in communicating concepts to both business and technical audiences
  • Excellent interpersonal, collaboration, communication, and leadership skills

Skills
Successful candidates usually have demonstrable experience with technologies in some of these categories:
  • Languages: SQL, Python, R
  • Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora, DynamoDB, Cosmos, MongoDB, Cassandra
  • Additional Technologies: dbt, Spark, FiveTran, Databricks, PowerBI, Tableau, git

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
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