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Entry Level Insurance Data Analytics Jobs in Georgia

Interact with data across various sources including relational databases in SQL Server, Alteryx ... Insurance Supplemental benefit programs: critical illness/accident hospital indemnity/group legal ...

Provide analyses of property insurance exposure data using catastrophe modeling and related software. Assess data quality of exposure data. Manipulate and prepare large databases of property ...

Lead Advanced Analytics

Atlanta, GA · On-site

$153K - $192K/yr

Interact with data across various sources including relational databases in SQL Server, Alteryx ... Insurance • Supplemental benefit programs: critical illness/accident hospital indemnity/group ...

Billing Specialist

Peachtree City, GA · On-site

$18 - $24.25/hr

Verify patient demographic and insurance data, including complex or non-standard cases. * Prepare ... Provide guidance to entry-level billing specialists to support team operations. * Participate in ...

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Entry Level Insurance Data Analytics information

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 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 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 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 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 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:
Lead Advanced Analytics

Lead Advanced Analytics

AT&T

Atlanta, GA

$153K - $192K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


AT&T rating

7.3

Company rating: 7.3 out of 10

Based on 723 frontline employees who took The Breakroom Quiz

39th of 82 rated telecommunications companies


Job description

JOB LOCATION: 1025 Lenox Park Blvd Ne. Atlanta, GA 30319

DUTIES: Interact with data across various sources including relational databases in SQL Server, Alteryx, and cloud-based distributed databases using Databricks and Snowflake, AWS and Azure, as well as various unstructured data; and use sandbox environments to create curated datasets from these sources. Analyze large and small datasets using hypothesis testing (ANOVA, T-test, linear and logistic regression, etc.) and demonstrating knowledge of good experimental design; use machine learning and predictive analytics methods including classification and regression models such as multivariate regression, decision trees and random forests, GLM, SVM, kNN, and neural networks, and ensemble methods; utilize unsupervised learning techniques such as k-means clustering to identify natural segmentation in datasets. Frequently use data access and analysis tools such as SQL, R, Python, PowerBI, Tableau, SAS, VBA, SPSS, and Excel, and be familiar with analysis packages such as NumPy, Pandas, SciKitLearn, Matplotlib, and SQLite. Design, maintain, and update interactive online dashboards and demonstrate best practices in data visualization and communication. Understand how to recognize and utilize geographical variation in business performance data. Assess the effectiveness and accuracy of new data sources and data gathering techniques.

REQUIREMENTS: Requires a Master's degree, or foreign equivalent degree in Data Science, Business Analytics, Math, Statistics, Engineering or Physics and 3 Years of experience in the job offered or 3Years of experience in a related occupation building and refining predictive models using traditional statistical methods and modern machine learning techniques; developing big data analytics models using tools including Databricks, Tableau, Palantir, Power BI, and business process integration; quantifying data variances and applying statistical methods within the bigdata space; leveraging programming languages including Python for model development and SQL for database interactions, and performing modeling within the Databricks environment; ensuring models are robust, scalable, and applicable; engaging with complex datasets including ADLS, MySQL, Teradata, and Oracle; crafting comprehensive reports, charts, and visual aids to summarize findings and insights; and utilizing analytics software, computer programming, data movement tools, and statistics and actuarial modeling.

Our Lead Advanced Analytics roles earn between $153,000 - $192,600 yearly. Not to mention all the other amazing rewards that working at AT&T offers.

Joining our team comes with amazing perks and benefits:

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)

Paid Parental Leave

Paid Caregiver Leave

Additional sick leave beyond what state and local law require may be available but is unprotected

Adoption Reimbursement

Disability Benefits (short term and long term)

Life and Accidental Death Insurance

Supplemental benefit programs: critical illness/accident hospital indemnity/group legal

Employee Assistance Programs (EAP)

Extensive employee wellness programs

Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours:

40

Time Type:

Regular

Location:

Atlanta, Georgia

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.AT&T is a fair chance employer and does not initiate a background check until an offer is made.


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