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Internship Geoscience Data Analyst Jobs in Ohio (NOW HIRING)

Danaher

Digital Analyst Internships

Toledo, OH · On-site

$96K - $114K/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 ...

Danaher

Digital Analyst Internships

Cleveland, OH · On-site

$95K - $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 ...

Danaher

Digital Analyst Internships

Bowling Green, OH · On-site

$92K - $109K/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 ...

Danaher

Digital Analyst Internships

Columbus, OH · On-site

$95K - $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 ...

Americhem

Data Engineer Intern

Cuyahoga Falls, OH · On-site

Academic coursework, internship experience, training, certification, or hands-on project work related to databases, SQL, data integration, analytics, or cloud-based data platforms * Working knowledge ...

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Internship Geoscience Data Analyst information

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 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 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 are the most commonly searched types of Geoscience Data Analyst jobs in Ohio? The most popular types of Geoscience Data Analyst jobs in Ohio are:
Internship Geoscience Data Analyst jobs near you
Business Intelligence Analyst

Business Intelligence Analyst

Formica Corporation

Cincinnati, OH • On-site

Full-time

Re-posted 22 days ago

Job description

We are seeking a curious, motivated, early-career Business Intelligence Analyst to join our growing analytics team. This role is ideal for candidates with strong academic or internship experience in data analytics, business analytics, or related fields who are excited to apply and expand their skills in real-world problem solving. While fluent in all things related to data analytics, the candidate should have a desire to understand business or operations workflows and fundamentals.
The ideal candidate brings strong academic or internship experience in business analytics, enjoys problem solving, and is eager to learn tools such as Qlik Sense and Alteryx. They should also have a foundation in analytics concepts, an eye for detail, and a desire to understand new technologies and business processes. This role will directly support ongoing improvements to our analytics environment, including data modeling, dashboard development, and enabling self-service analytics for end users in multiple departments, with a specific focus on Operations.
Key Responsibilities
Business Intelligence Development
  • Build, maintain, and enhance dashboards and visualizations in Qlik (prior Qlik experience not required).
  • Develop repeatable data preparation workflows in Alteryx to support reporting and analysis needs.
  • Assist with creating automated reporting solutions and data pipelines.
  • Validate data logic, calculations, and visualizations for consistency and accuracy.

Data Analysis & Problem Solving
  • Perform exploratory data analysis to identify patterns, anomalies, and actionable insights.
  • Perform data validation and troubleshooting analysis to understand trends, errors, or anomalies.
  • Assist with data modeling tasks, including preparing new fields, refining dimensions, and supporting fact table logic.
  • Support analytics projects by translating business questions into analytical approaches with research, data validation, and clear documentation.

Collaboration & Communication
  • Work with cross-functional teams to understand requirements, refine user needs, and deliver data-driven recommendations.
  • Present findings in a clear, concise manner to business stakeholders.
  • Contribute to team best practices related to version control, visualization standards, and workflow management.
  • Respond to ad-hoc data and reporting requests, helping stakeholders find answers through self-service tools where possible.

Quality, Accuracy & Continuous Improvement
  • Contribute to larger BI initiatives such as data warehouse updates, dashboard redesigns, or analytics process improvements.
  • Support iterative development cycles by gathering user feedback, testing solutions, and documenting changes.
  • Proactively suggest enhancements to reports, workflows, or data structures.

Qualifications
Required
  • Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Statistics, or related field.
  • Academic or internship experience with data analysis, business analytics, or BI coursework.
  • Exposure to at least one visualization tool (Qlik Sense, Tableau, Power BI, Looker, etc.).
  • Familiarity with data modeling concepts (dimensions, facts, star schemas).
  • Strong analytical mindset, curiosity, and willingness to learn new tools and methods to break down ambiguous problems.
  • Foundational understanding of data modeling, structured problem solving, and analytics concepts.
  • Ability to communicate clearly with both technical and non-technical users.

Preferred
  • Master's degree or coursework in Business Analytics and/or major minor in Operations Management .
  • Previous BI or analytics internship or entry-level work experience.
  • Exposure to Manufacturing Operations
  • Understanding of best practices for data visualization, UX for dashboards, and data storytelling.
  • Experience working with data preparation tools (e.g., Alteryx, KNIME, SSIS).
  • Basic experience with SQL, Python, R, or another scripting/query language (coursework or project-based experience accepted).

Key Competencies
  • Analytical and critical thinking
  • Strong attention to detail and data accuracy
  • Ability to learn new tools and frameworks quickly
  • Problem-solving mindset and ability to break down complex issues
  • Professional curiosity and effective communication
  • Collaborative mindset and service-oriented approach
  • Comfort working with multiple stakeholders and shifting priorities

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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