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Data Analytics Virtual Internship Jobs in Atlanta, GA

Data Scientist

Atlanta, GA ยท On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

You will report directly to the VP Data Analytics and Reporting and regularly collaborate with your ... Virtual fitness classes offered company-wide * Robust PTO offerings including major holidays ...

Data Engineer

Atlanta, GA ยท On-site

$53K - $88K/yr

Exposure to data integration, ETL, data warehousing, or analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project experience involving data engineering, cloud ...

Manager, Payments Ops Analytics

Atlanta, GA ยท On-site

$125 - $150/hr

You will report directly to the VP Data Analytics and Reporting and regularly collaborate with your ... Virtual fitness classes offered company-wide * Robust PTO offerings including major holidays ...

Public Health Data Engineer

Atlanta, GA

$110K - $132K/yr

Experience with data integration, ETL, data warehousing, or analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project experience involving data engineering, cloud ...

... internship. Working Conditions None Preferred Skills and Experience * Accounting coursework * Minor in data analytics, statistics * Experience with Tableau and SQL Additional Information Due to the ...

... internship. Working Conditions None Preferred Skills and Experience * Accounting coursework * Minor in data analytics, statistics * Experience with Tableau and SQL Additional Information Due to the ...

Showing results 41-60

Data Analytics Virtual Internship information

See Atlanta, GA salary details

$11

$21

$40

How much do data analytics virtual internship jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data analytics virtual internship in Atlanta, GA is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 per hour, depending on experience, location, and employer.

What is a data analytics virtual internship?

A Data Analytics Virtual Internship is a remote learning experience where participants gain practical skills in analyzing and interpreting data using digital tools, often from home or any location with internet access. Interns work on real-world projects, such as data cleaning, visualization, and reporting, to develop their analytical and technical abilities. These internships typically involve using software like Excel, SQL, Python, or Tableau, and may include mentorship or feedback from industry professionals. Virtual internships offer flexibility, making them accessible to students and career changers worldwide. They are a great way to build experience and enhance your resume in the field of data analytics.

What are the key skills and qualifications needed to thrive as a data analytics virtual intern?

To thrive as a Data Analytics Virtual Intern, you need a solid understanding of statistical analysis, data manipulation, and foundational programming skills, often gained through coursework in data science or related fields. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically required. Strong attention to detail, effective communication, and self-motivation help interns stand out when working remotely and collaborating on projects. These skills ensure interns can analyze data accurately, deliver actionable insights, and contribute meaningfully to virtual teams.

What types of real-world projects can I expect to work on during a data analytics virtual internship?

During a Data Analytics Virtual Internship, you can expect to work on projects such as analyzing business datasets, creating dashboards and visualizations, performing data cleaning, and generating actionable insights to support decision-making. These projects often simulate challenges faced by data analysts in various industries, helping you build practical experience with tools like Excel, SQL, or Tableau. You may also collaborate remotely with other interns or mentors, receive feedback on your work, and present findings, all of which mirror typical professional workflows.

What is the difference between Data Analytics Virtual Internship vs Data Analyst?

AspectData Analytics Virtual InternshipData Analyst
CredentialsOften students or entry-level with coursework in data analysisTypically requires a degree in data science, statistics, or related field
Work EnvironmentRemote, project-based, temporaryFull-time or part-time, in-office or remote
Employer & Industry UsageInternships offered by companies for training; industry-wideFull-time roles in various industries like finance, healthcare, tech

The main difference is that a Data Analytics Virtual Internship is a temporary, training-focused opportunity for beginners or students, often remote, while a Data Analyst is a full-time professional role requiring more experience and credentials. Internships serve as a stepping stone into the industry, whereas data analyst positions involve ongoing responsibilities and career development.

What job categories do people searching Data Analytics Virtual Internship jobs in Atlanta, GA look for?

The top searched job categories for Data Analytics Virtual Internship jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Data Analytics Virtual Internship jobs?

Cities near Atlanta, GA with the most Data Analytics Virtual Internship job openings:

Infographic showing various Data Analytics Virtual Internship job openings in Atlanta, GA as of September 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $45,014 per year, or $21.6 per hour.

Data Scientist

Revenue Analytics

Atlanta, GA โ€ข On-site, Remote

$95K - $110K/yr

Full-time

Re-posted 16 days ago


Key responsibilities

  • Build machine learning and AI solutions to support pricing, forecasting, and revenue management decisions in hospitality.

  • Analyze large datasets to identify patterns, risks, and opportunities, and develop practical recommendations or product capabilities.

  • Partner with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights.


Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.
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$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
ย 
Visa sponsorship is not available for this role. ย Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
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