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Internship Data Cleaning Jobs in Ohio (NOW HIRING)

Medpace, Inc.

AI Engineering Intern - Fall 2026

Cincinnati, OH · On-site +1

$16 - $21/hr

... data cleaning, feature engineering, model selection, and hyperparameter tuning; and * Develop ... Class or internship experience implementing and fine-tuning Large Language Models or interactive AI ...

Medpace, Inc.

AI Engineering Intern - Fall 2026

Cincinnati, OH · On-site

$16 - $21/hr

... data cleaning, feature engineering, model selection, and hyperparameter tuning; and * Develop ... Class or internship experience implementing and fine-tuning Large Language Models or interactive AI ...

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Internship Data Cleaning information

What is an internship data cleaning?

An Internship Data Cleaning position involves assisting organizations in organizing, cleaning, and preparing their data for analysis. Interns in this role typically use software tools or programming languages to identify and correct errors, remove duplicates, and standardize formats within datasets. This foundational work ensures that data is accurate and reliable for further analysis or reporting. Such internships are a great way for students or recent graduates to gain practical experience in data management and analytics.

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

To thrive as an Internship Data Cleaning professional, you need a basic understanding of data management, attention to detail, and familiarity with database concepts, often supported by coursework in data analysis or statistics. Proficiency with tools like Microsoft Excel, Google Sheets, and basic knowledge of SQL or Python for data manipulation is typically required. Strong organizational skills, problem-solving ability, and effective communication help interns stand out in this role. These competencies are crucial to ensure data accuracy, support analytical tasks, and maintain data quality for business or research needs.

What typical challenges might I encounter during a data cleaning internship, and how can I effectively address them?

During a Data Cleaning internship, you may encounter challenges such as dealing with large volumes of inconsistent or incomplete data, identifying and correcting errors, and understanding the context behind various data sets. Effective strategies include developing a solid grasp of data validation techniques, becoming proficient with tools like Excel, Python, or SQL, and regularly communicating with team members to clarify data ambiguities. Being proactive in asking questions and seeking feedback will help you grow your technical skills and contribute more efficiently to the team’s data quality goals.

What is the difference between Internship Data Cleaning vs Data Analyst Intern?

AspectInternship Data CleaningData Analyst Intern
Required SkillsBasic data cleaning, Excel, SQLData cleaning, analysis, visualization
Work EnvironmentEntry-level, supervised tasksProject-based, collaborative
Industry UsageCommon in tech, finance, healthcareBroader, includes reporting and insights
CertificationsNone typically requiredOptional certifications in data analysis

Internship Data Cleaning focuses on basic data preparation tasks, while Data Analyst Interns handle more comprehensive analysis and reporting. Both roles are entry-level and often found in similar industries, but Data Analyst Interns typically require broader skills and responsibilities.

What are the most commonly searched types of Data Cleaning jobs in Ohio?

The most popular types of Data Cleaning jobs in Ohio are:

What are popular job titles related to Internship Data Cleaning jobs in Ohio?

For Internship Data Cleaning jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Internship Data Cleaning jobs in Ohio look for?

The top searched job categories for Internship Data Cleaning jobs in Ohio are:

Internship Data Cleaning jobs near you

Data College Intern (PN 20085470)

Ohio Department of Taxation

Columbus, OH • On-site

Part-time

Posted 4 days ago

Job description

What will you do?

  • Utilizes epidemiology, data science & program evaluation training to assist & support the Data, Analytics, & Research (DAR) section in the Director's Office

  • Creates &/or edits reports using tools (e.g., Tableau) for DODD staff, legislators, & other stakeholder groups

  • Creates assorted training guides

  • Supports the county boards' efforts to clean up incorrect & missing data

  • Conducts statistical analyses & writes up results using DODD & Medicaid data

  • Creates content for the DAR team (i.e., PowerPoint slides, web content, data briefs, videos, & fact sheets)

  • Participates in meetings & projects

  • Represents DAR at meetings

  • Acts as a key contact with other divisions

  • Collaborates on ongoing projects

  • Presents findings to a variety of stakeholders

  • Performs other duties as assigned within scope of internship

Required Qualifications:

  • Must be enrolled in an accredited college or university   

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