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Internship Data Validator Jobs (NOW HIRING)

JANSON

Junior Data Analyst / Developer

Fairfax, VA · On-site

... validation, quality checks, and sustainment artifacts · Support analytics handoff and ... internships, labs, or academic projects) · Foundational knowledge of Python or SQL · ...

JANSON

Junior Data Analyst / Developer

Fairfax, VA · On-site

... validation, quality checks, and sustainment artifacts · Support analytics handoff and ... internships, labs, or academic projects) · Foundational knowledge of Python or SQL · ...

Ames Construction

Data Analyst

Burnsville, MN

Implement data validation routines and monitor data integrity across systems. Debug and resolve ... Experience: Internship, academic, or project-based experience in data engineering, analytics ...

New

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

Execute data preparation, cleansing, and validation processes to ensure data integrity across ... internships, academic projects, or hands-on experience acceptable). Experience working with ...

Cresset Capital

Data Analytics Intern

Chicago, IL · On-site

$25/hr

Over the course of the internship, you will play a key role in analyzing and validating billing data, helping ensure accuracy and consistency across client accounts. You'll also contribute to system ...

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How much do internship data validator jobs pay per hour?

As of May 29, 2026, the average hourly pay for internship data validator in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Data Validator, and why are they important?

To thrive as an Internship Data Validator, you need attention to detail, a foundational understanding of data management, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in statistics or data analysis. Familiarity with data validation tools, basic SQL, and experience using data entry or database systems are typically expected. Strong organizational skills, reliability, and effective communication help ensure accuracy and efficient workflow in collaborative settings. These skills and qualities are crucial for maintaining high data quality and supporting informed decision-making within organizations.

What are the main responsibilities and expectations for an Internship Data Validator on a daily basis?

As an Internship Data Validator, your primary responsibilities include reviewing large datasets for accuracy, completeness, and consistency. You will work closely with data analysts and other team members to identify and correct errors, document findings, and ensure that data meets quality standards before it is used for analysis or reporting. Attention to detail and strong organizational skills are essential, as you may be expected to handle repetitive tasks while maintaining high levels of accuracy. Additionally, you may assist in developing or refining validation processes under the guidance of senior staff, providing valuable hands-on experience in data quality management.

What does an Internship Data Validator do?

An Internship Data Validator is responsible for reviewing and checking data for accuracy and consistency in various projects, often within organizations or research settings. They ensure that data entered into systems or databases is correct, complete, and free of errors. This role may also involve collaborating with teams to identify discrepancies, implementing data quality standards, and reporting any issues found. It's an essential position for maintaining the integrity of information used for decision-making. Internship Data Validators often gain valuable experience with data management tools and processes, making it a strong entry point into data-related careers.
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Internship Data Validator jobs near you

Junior Data Analyst / Developer

JANSON

Fairfax, VA • On-site

Full-time

Posted 20 days ago

Job description

Description:

The Junior Analyst / Developer will provide analytical and instructional support while developing Army Vantage skills through hands-on execution. Emphasis is on growth, learning, and sustainment support. This position requires the ability to obtain and maintain a U.S. Government security clearance, which requires U.S. citizenship. Candidates without an active clearance may perform unclassified preparatory work while clearance processing is underway.

Requirements:

Key Requirements

· Secret Security Clearance: active or eligibility to obtain and maintain

· Ability to operate in classified and unclassified environments, including NIPRNet systems

· Strong written and verbal communication skills for military and civilian interaction

· Willingness to travel up to 10% for in-person training and operational support

· Demonstrated ability to learn new tools, workflows, and operational contexts

· Team-oriented and capable of collaborating with diverse Army and contractor personnel

Key Responsibilities

· Assist with dashboard configuration, updates, and reuse

· Support preparation of training materials and documentation

· Assist with data validation, quality checks, and sustainment artifacts

· Support analytics handoff and institutional adoption efforts

· Progressively develop Army Vantage skills over the period of performance

· Assist in preparation of training environments, datasets, and example dashboards

· Support logistics and execution of in-person and virtual training events

· Help develop and update training documentation, job aids, and reference materials

· Assist instructors during training sessions (e.g., troubleshooting, student support, setup/teardown)

· Perform data validation and quality checks on training datasets and dashboards

· Capture training feedback and assist in documenting lessons learned and AAR inputs

· Support reuse and sustainment of training materials and analytics products

· Progressively take on limited instructional roles, such as walkthroughs or demonstrations, as skills mature

Minimum Qualifications

· Bachelor’s degree (or progress toward degree) in technical, analytical, or quantitative field

· 0–2 years of relevant experience (including internships, labs, or academic projects)

· Foundational knowledge of Python or SQL

· Understanding of basic data analysis and visualization concepts

· Demonstrated ability to learn new platforms and tools

· Strong attention to detail and documentation skills

Preferred Qualifications

· Exposure to analytics platforms, dashboards, or scripting tools

· Coursework in statistics, data science, or operations research

· Interest in operational analytics and decision support

· Prior military or government exposure (not required)