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Internship Geoscience Data Analyst Jobs in Atlanta, GA

Create SQL queries to retrieve, validate, and analyze business data. * Assist with Microsoft Fabric ... Academic, internship, personal, or professional projects using Power BI. * Basic understanding of ...

Create SQL queries to retrieve, validate, and analyze business data.Assist with Microsoft Fabric ... PREFERRED QUALIFICATIONSAcademic, internship, personal, or professional projects using Power BI.

Data & Analytics Intern

Alpharetta, GA · On-site

  • Medical

  • Retirement

  • PTO

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

Data Protection, A/SA-Evergreen

Atlanta, GA · On-site

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 Scientist

Atlanta, GA · On-site

$95 - $110/hr

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.

Digital Analyst Internships

Lawrenceville, GA · On-site

$85K - $100K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Digital Analyst Internships

Atlanta, GA · On-site

$94K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

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Internship Geoscience Data Analyst information

See Atlanta, GA salary details

$11

$21

$40

How much do internship geoscience data analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship geoscience data analyst 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 does an internship geoscience data analyst do?

An Internship Geoscience Data Analyst assists in collecting, processing, and interpreting geoscientific data, such as geological, geophysical, or geochemical information. They use specialized software and tools to analyze data sets, create visualizations, and help solve real-world geological problems. Interns often support senior analysts in research projects, data management, and reporting, gaining hands-on experience in the geoscience field. This role is ideal for students or recent graduates interested in applying analytical skills to earth sciences.

What types of projects and data sets can I expect to work with as an internship geoscience data analyst?

As an Internship Geoscience Data Analyst, you will typically engage with real-world geological data such as seismic readings, rock and soil samples, well logs, and satellite imagery. Projects often involve cleaning, organizing, and visualizing these data sets to support exploration, environmental assessments, or resource management. You’ll work closely with geologists, data scientists, and engineers, gaining hands-on experience with industry-standard tools and software while contributing meaningful insights to ongoing research or commercial projects.

What are the key skills and qualifications needed to thrive as an internship geoscience data analyst, and why are they important?

To thrive as an Internship Geoscience Data Analyst, you need a foundational understanding of geology or earth sciences, strong analytical abilities, and proficiency in data analysis, often pursued during a relevant undergraduate or graduate program. Familiarity with GIS software, programming languages like Python or R, and experience with data visualization tools are typically expected. Attention to detail, problem-solving skills, and effective communication are vital soft skills for collaborating with multidisciplinary teams and presenting findings. These competencies ensure accurate data interpretation, meaningful insights, and effective contribution to geoscience projects.

What is the difference between Internship Geoscience Data Analyst vs Geoscience Data Analyst?

AspectInternship Geoscience Data AnalystGeoscience Data Analyst
Required CredentialsEnrolled in or recent graduate of geoscience or related programBachelor's or higher in geoscience, geology, or related field
Work EnvironmentInternship setting, often part-time or temporaryFull-time, permanent position in industry or research
Employer & Industry UsageEntry-level, training-focused roles in energy, mining, or environmental firmsProfessional roles with responsibilities in data analysis, reporting, and modeling

The main difference is that an Internship Geoscience Data Analyst is a temporary, entry-level position aimed at gaining experience, while a Geoscience Data Analyst is a full-time professional role requiring more experience and responsibility in analyzing geoscience data within the industry.

What are the most commonly searched types of Geoscience Data Analyst jobs in Atlanta, GA?

The most popular types of Geoscience Data Analyst jobs in Atlanta, GA are:

Full-time

Posted 23 days ago


Job description

BUSINESS INTELLIGENCE ANALYST

ABOUT OLÉ MEXICAN FOODS

Olé Mexican Foods is one of the largest tortilla manufacturers in the United States, serving retail and foodservice customers nationwide for more than 35 years. Headquartered in Norcross, Georgia, Olé continues to grow through innovation, operational excellence, and data-driven decision-making.

Our Enterprise Technology & Analytics department supports manufacturing, distribution, sales, warehouse operations, and executive leadership by delivering modern Business Intelligence solutions using Microsoft's analytics platform.

POSITION SUMMARY

Olé Mexican Foods is seeking a motivated BUSINESS INTELLIGENCE ANALYST to join our Business Intelligence team.

This position is ideal for an early-career professional who enjoys solving business problems with data and wants to build a career in Data Analyst and Analytics. The successful candidate will assist in developing reports, dashboards, and analytical solutions using Microsoft Power BI while gaining hands-on experience with Microsoft Fabric and enterprise data platforms.

This position will work closely with the Business Intelligence team to support reporting, analytics, and continuous improvement initiatives across the organization.

This role provides an excellent opportunity to work with real-world manufacturing, supply chain, logistics, and sales data while learning from experienced Business Intelligence professionals.

Reports To: Business Intelligence Supervisor

Department: Enterprise Technology & Analytics

PRIMARY RESPONSIBILITIES

  • Develop and maintain Power BI dashboards and reports.
  • Support the design, enhancement, and maintenance of business reporting solutions.
  • Create SQL queries to retrieve, validate, and analyze business data.
  • Assist with Microsoft Fabric datasets, semantic models, and reporting solutions.
  • Validate data accuracy and investigate data quality issues.
  • Build meaningful visualizations that help business leaders make informed decisions.
  • Gather reporting requirements from business users and translate them into reporting solutions.
  • Document reports, datasets, and business processes.
  • Troubleshoot existing reports and assist with ongoing enhancements.
  • Participate in Business Intelligence and analytics projects across multiple departments.

REQUIRED QUALIFICATIONS

Education

  • Associate or bachelor's degree in business Analytics, Information Systems, Computer Science, Data Analytics, Engineering, Mathematics, or a related field.
  • Equivalent practical experience will also be considered.

Technical Skills

  • Working knowledge of Microsoft Power BI.
  • Basic to intermediate SQL skills.
  • Strong Microsoft Excel skills.
  • Understanding of data analysis concepts.
  • Familiarity with Power Query is preferred.
  • Exposure to Microsoft Fabric is preferred but not required.

Professional Skills

  • Strong analytical and problem-solving abilities.
  • Excellent attention to detail.
  • Strong written and verbal communication skills.
  • Ability to learn new technologies quickly.
  • Ability to work both independently and as part of a collaborative team.
  • Strong organizational and time-management skills.

PREFERRED QUALIFICATIONS

  • Academic, internship, personal, or professional projects using Power BI.
  • Basic understanding of DAX.
  • Familiarity with relational databases.
  • Exposure to Microsoft Fabric, Azure, or other cloud analytics platforms.
  • Knowledge of Git or version control is a plus.
  • Experience in manufacturing, distribution, logistics, ERP, or supply chain environments is a plus.

WHAT WILL MAKE YOU SUCCESSFUL

  • You enjoy solving business problems using data.
  • You are naturally curious and eager to learn new technologies.
  • You take ownership of your work and pay close attention to detail.
  • You communicate effectively with both technical and business users.
  • You continuously look for opportunities to improve reports, processes, and business insights.
  • You are excited to grow your career in Business Intelligence, Analytics, and Microsoft Fabric.

WHY JOIN OLÉ MEXICAN FOODS

  • Work with enterprise-scale manufacturing, distribution, and sales data.
  • Gain hands-on experience with Microsoft Power BI and Microsoft Fabric.
  • Learn from experienced Business Intelligence professionals.
  • Build solutions that directly support business operations across the United States.
  • Enjoy opportunities for professional growth into Business Intelligence, Analytics, and Data Engineering.

IDEAL CANDIDATE

We are looking for someone with a strong analytical foundation and a willingness to learn. Whether your experience comes from school, internships, certifications, personal projects, or early professional experience, we value curiosity, initiative, problem-solving ability, and the desire to build a long-term career in Business Intelligence.

Candidates are encouraged to include examples of Power BI dashboards, reports, GitHub repositories, Microsoft Learn projects, or other analytics work that demonstrates their technical abilities. Academic and personal projects are welcome and will be considered during the evaluation process.