2

Entry Level American Express Data Analyst Jobs in Georgia

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

... data collection/processing. records retention, policy interpretation and managing financial ... Reconcile American Express and FedEx CHERPS reports for accurate financial reporting. * Process ...

Showing results 21-40

Entry Level American Express Data Analyst information

What is the difference between Entry Level American Express Data Analyst vs Entry Level JPMorgan Data Analyst?

AspectEntry Level American Express Data AnalystEntry Level JPMorgan Data Analyst
Required CredentialsBachelor's degree in Data Science, Finance, or related field; basic SQL and Excel skillsBachelor's degree in Finance, Economics, or related field; knowledge of SQL and data visualization tools
Work EnvironmentCorporate office, collaborative team setting, financial services industryBanking environment, team-based projects, financial industry focus
Employer & Industry UsageAmerican Express, credit card and financial servicesJPMorgan Chase, banking and investment services

Both roles are entry-level data analyst positions within major financial institutions, requiring similar educational backgrounds and technical skills. They operate in corporate banking environments and focus on financial data analysis. The main differences lie in the specific employer and industry nuances, but overall, they offer comparable career paths for aspiring data analysts in finance.

Can I become an entry level American Express data analyst with no experience?

Entry level American Express data analyst positions typically require some knowledge of data analysis tools like Excel, SQL, or Python, but they often do not require extensive experience. Candidates with relevant coursework, internships, or certifications in data analysis can be considered, and strong analytical skills are valued. Employers may provide on-the-job training for specific tools or processes.

What are the most commonly searched types of American Express Data Analyst jobs in Georgia?

The most popular types of American Express Data Analyst jobs in Georgia are:

What are popular job titles related to Entry Level American Express Data Analyst jobs in Georgia?

For Entry Level American Express Data Analyst jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Entry Level American Express Data Analyst jobs in Georgia look for?

The top searched job categories for Entry Level American Express Data Analyst jobs in Georgia are:

What cities in Georgia are hiring for Entry Level American Express Data Analyst jobs?

Cities in Georgia with the most Entry Level American Express Data Analyst job openings:

Infographic showing various Entry Level American Express Data Analyst job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

2027 Early Careers: Analyst, Gen AI - Data Science - United States, Atlanta, GA

American International Group

Atlanta, GA • On-site

$90 - $130/hr

Other

Posted 2 days ago

New


AIG rating

8.7

Company rating: 8.7 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

72nd of 315 rated insurance


Job description

AIG is reimagining the way we help customers manage risk. Join us as an Analyst in the Generative AI, Data Science department to play your part in that transformation with opportunities to learn and grow your skills and experience as a valued member of the team.

About Us At AIG, helping organizations and people discover new potential is our purpose. As a global risk leader, we do this for our clients every day. Through our deep expertise in their industries and our innovative solutions that help them smartly manage risk, we enable their growth in ways they never thought possible. But we also do the same thing for our colleagues, because we know our people are our greatest strength – the source of every insight, every idea and every innovation. When we're working as one team to do what's right for our colleagues and our communities, we can achieve excellence together. We encourage colleagues to give back to the causes they care most about, supporting these efforts through our Volunteer Time Off and Matching Grants Programs.

Make your mark in Generative AI As a Data Scientist Analyst at AIG, you will develop and deliver innovative AI solutions, helping AIG to become a leader in applying AI & Generative AI to solve complex business challenges. This is an exciting opportunity to shape a newly formed team with the resources and support to explore fresh, creative approaches. With your expertise, we’ll transform how data drives innovation, creating smarter, more efficient, and personalized solutions that set new standards for the industry.

How you will make an impact When you join AIG, you will be part of a connected cohort community of early career talent participating in a program that equips you with learning experiences and skills needed to launch your career. From day one, you will develop your knowledge and understanding of AIG and the insurance industry and learn new skills through meaningful on-the-job experiences and instructor‑led masterclasses. Through exposure to senior leaders, mentoring circles, networking and volunteering, you will build connections with colleagues across the organization. Collectively, these different experiences are designed to enable you to make an impact and build a rewarding and successful career.

Responsibilities
  • Supporting the development, and implementation of data science and generative AI models that deliver real‑world impact, through getting hands‑on in data engineering.
  • Collaborating with teams across the business—product managers, business leaders, engineers, and others to create data‑driven solutions that make a difference.
  • Developing end‑to‑end data science & AI/ML projects, from conceptualization to operational rollout, while ensuring that all solutions align with ethical and regulatory standards.
  • Fostering a collaborative and innovative environment where knowledge‑sharing and creativity thrive among the data science community.
  • Utilize Retrieval‑Augmented Generation (RAG) and Prompt Engineering and few‑shot techniques to enhance LLM's performance on specific tasks.
  • Driving continuous improvement of AI capabilities by staying at the forefront of emerging technologies and identifying how they can enhance our operations.
  • Contributing to day‑to‑day direction of multiple components of Data Science activities.
Minimum QualificationsEducation Requirements

Master’s degree to be received no later than June 2027 (unofficial transcript required upon application) in a STEM major primarily Data Science, Computer Science, or Math.

Program Requirements

Available to start the Program on July 26, 2027.

Analyst positions are in‑person opportunities, requiring employees to work in the office at least four days per week.

Core Qualifications
  • Strong written and verbal communication skills, with the ability to communicate effectively in a professional environment.
  • Demonstrated analytical, problem‑solving, and organizational skills, with strong attention to detail.
  • Ability to collaborate effectively, manage multiple priorities, and adapt in a fast‑paced, team‑oriented environment.
What you’ll need to succeed
  • Course work in Stem (Math, Physics, Statistics, Computer or Data Science)
  • Pursing advanced degrees, Masters or PHD is a strong plus
  • You bring knowledge of applied data science in a product development environment.
  • You have experience across the full ML lifecycle.
  • You have built or studied frameworks to measure LLMs efficacy, ground truth dataset quality, and guide product development roadmap
  • You have experience or a strong willingness to learn data science techniques such as Gen AI, deep learning, machine learning, statistical modelling, NLP, NLU.
  • You have experience developing AI/ML models, with hands‑on desire to use platforms like Palantir Foundry, Snowflake, and AWS SageMaker.
  • Ability to leverage key Python packages for data wrangling, machine learning and deep learning such as pandas, scikit‑learn, TensorFlow, torch, transformers, LangChain, etc.
  • You have data engineering skills in Python and PySpark.
  • Experience and knowledge of using Generative AI models, with a good understanding of deep learning model classes such as GPT, VAE, and GANs, as well as their hyperparameters.

Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development—to bring peace of mind to you and your family.

Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world’s most far-reaching property casualty networks. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever‑better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.

Welcome to a culture of inclusion We’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG’s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.

AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.

AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.

Functional Area: DT - Data

Join our Talent Community. Additional information about AIG can be found at www.aig.com | YouTube | Instagram| LinkedIn.

#J-18808-Ljbffr

What AIG employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


AIG logo

About AIG

Sourced by ZipRecruiter

American International Group, Inc. (AIG) is a leading global insurance organization. Building on 100 years of experience, today AIG member companies provide a wide range of property casualty insurance, life insurance, retirement solutions, and other financial services to customers in more than 80 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets, manage risks and provide for retirement security.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1919