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Summer Data Analytics Graduate Jobs in Georgia (NOW HIRING)

Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics, or Computer Science or a related STEM field * Expected graduation date of May 2027 * Experience or ...

As a Graduate Service Data Analyst here at Honeywell, you will take ownership of the foundational ... In this role, you will impact the quality and effectiveness of Honeywell's service data analytics ...

As a Graduate Service Data Analyst here at Honeywell, you will take ownership of the foundational ... In this role, you will impact the quality and effectiveness of Honeywell's service data analytics ...

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Summer Data Analytics Graduate information

What are Summer Data Analytics Graduates?

Summer Data Analytics Graduates are recent or soon-to-be graduates who participate in summer internship or training programs focused on data analytics. These roles typically involve working on data-driven projects, analyzing large datasets, and gaining hands-on experience with analytical tools and techniques. The purpose of these positions is to provide students or new graduates with practical exposure to real-world business challenges, often within a corporate or research environment. Participants develop skills in data analysis, visualization, and reporting, which can enhance their employability in the data science and analytics field.

What types of projects can a Summer Data Analytics Graduate expect to work on during their internship?

As a Summer Data Analytics Graduate, you can expect to work on a variety of projects involving data cleaning, analysis, and visualization. Typical assignments include assisting with the preparation of datasets, conducting exploratory data analysis, building dashboards, and supporting senior analysts with statistical modeling. You'll likely collaborate with cross-functional teams such as marketing, finance, or operations, contributing to real business cases and gaining exposure to industry-standard tools and methodologies. This hands-on experience is designed to help you develop both technical and communication skills valuable for a future career in analytics.

Is 30 too late for data science?

The Summer Data Analytics Graduate role is open to individuals of various ages, and age is not a barrier to entering data science. Many professionals transition into data science later in their careers by acquiring skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Age should not deter you from pursuing a career in data science if you have the interest and dedication to learn relevant skills.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the need for skilled analysts who bring domain expertise and critical thinking to data projects.

How to be a data analyst after graduation?

To become a data analyst after graduation, develop skills in data analysis tools such as Excel, SQL, and programming languages like Python or R. Gain experience through internships or projects, and consider earning certifications like Microsoft Data Analyst or Google Data Analytics to enhance your qualifications.

What jobs can I get with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Additional certifications in data management or programming can enhance job prospects.

What are the key skills and qualifications needed to thrive as a Summer Data Analytics Graduate, and why are they important?

To thrive as a Summer Data Analytics Graduate, you need a solid background in statistics, data analysis, and proficiency with spreadsheet and database tools, typically supported by ongoing or recent studies in a quantitative field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau, and knowledge of SQL are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you analyze data and present insights clearly to diverse audiences. These skills are crucial for delivering actionable findings and supporting data-driven decision-making in fast-paced project environments.
What are the most commonly searched types of Data Analytics Graduate jobs in Georgia? The most popular types of Data Analytics Graduate jobs in Georgia are:

Data & Analytics Intern

Equifax

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago


Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Synopsis of the role: This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for current university students. The program provides meaningful projects with direct impact on our business as well as exposure to senior leaders and opportunities to network. The program is designed to support research and advanced development techniques for Artificial Intelligence (AI) and Machine Learning (ML).
What you will do:
  • Enable building the AI/ML prototypes using data, equations, and mathematical results to deliver insight into new and emerging solutions.
  • Partner in development of scalable solutions using large datasets with other data scientists on the team.
  • Integrate diverse data sources, data types and data structures into an innovative visualization prototype.
  • Work with key stakeholders to develop advanced solutions or improve existing solutions around data and analytics.

What you will need:
  • Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics, or Computer Science or a related STEM field
  • Expected graduation date of May 2027
  • Experience or coursework in code development in SQL, Python, Hive, Impala, R

What could set you apart:
  • Strong SQL and/or Big Query skills in Big Data environment.
  • Formal coursework and/or familiarity with AI/Machine learning
  • Experience working with large datasets, knowledge of distributed computing tools (Spark, MapReduce, Hive, Apache Mahout etc.) a plus
  • Excellent problem solving skills with the ability to design algorithms, which may include data cleaning, data mining, data clustering and data preparation for visualization
  • Personal qualities desired: creativity, tenacity, curiosity, and passion for excellence in a rapidly changing prototyping environment
  • Experience in Spotfire and/or Tableau

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta JV White
Function:
Function - Internships
Schedule:
Full time

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Benefits

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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