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Internship Data Validation Jobs in New York (NOW HIRING)

Theguarantors

Data Engineer

Manhattan, NY · On-site

$115 - $130/hr

Collaborate with the team to monitor and maintain data quality standards, perform data validation ... Previous internship or coursework related to data engineering. * Opportunities to make an impact ...

Theguarantors

Data Engineer

New York, NY · On-site

$115K - $130K/yr

Collaborate with the team to monitor and maintain data quality standards, perform data validation ... Previous internship or coursework related to data engineering. Benefits * Opportunities to make an ...

Optimum

Intern - Data Engineer

Long Island City, NY · On-site

$35/hr

Write SQL queries & Python code for data structuring, data validation, process automation, and data ... internships, preferred * Experience scripting and deploying ETL jobs, cron jobs and code changes ...

Optimum

Intern - Data Engineer

Long Island City, NY · On-site

$35/hr

Write SQL queries & Python code for data structuring, data validation, process automation, and data ... internships, preferred * Experience scripting and deploying ETL jobs, cron jobs and code changes ...

Gottlieb and Greenspan

Finance Intern

Fair Lawn, NJ · On-site

$18/hr

This paid internship offers hands-on experience in payment verification, data validation, and document management. Interns must be available to work a minimum of 16-20 hours per week, with ...

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Internship Data Validation information

What is an internship data validation?

An Internship Data Validation role involves assisting organizations in ensuring the accuracy and integrity of their data. Interns in this position typically verify data sets, identify inconsistencies, and help correct errors by following established validation processes. They may use various software tools to conduct checks and collaborate with other teams to maintain data quality. This role is ideal for those looking to gain experience in data management and analytics.

What are some common challenges faced during a data validation internship, and how can they be overcome?

A Data Validation internship often involves dealing with large datasets that may contain inconsistencies, missing values, or errors. One common challenge is ensuring data accuracy while working under tight deadlines, which requires strong attention to detail and effective time management. Interns may also need to learn new validation tools or programming languages quickly. Collaborating closely with data analysts and IT teams can help interns understand best practices and find solutions to data issues. Seeking feedback and asking questions early on can also accelerate the learning process and improve data validation outcomes.

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

To excel as an Internship Data Validation specialist, you need strong analytical skills, attention to detail, and a foundational understanding of data management, often supported by coursework in statistics or computer science. Familiarity with spreadsheet software (like Excel), database management systems, and data validation tools is usually required. Effective communication, problem-solving abilities, and a proactive attitude are standout soft skills for this role. These skills ensure that data is accurate, reliable, and actionable, which is vital for informed business decision-making.

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

AspectInternship Data ValidationData Analyst
Required CredentialsTypically pursuing or recent graduate, basic technical skillsBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time, professional environment, analytical responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcareCompanies across industries, data-driven roles
Comparison Search IntentUnderstanding entry-level data validation rolesLearning about data analysis careers

Internship Data Validation focuses on entry-level tasks like verifying data accuracy under supervision, often as part of an internship program. Data Analysts perform comprehensive data analysis, interpret trends, and support decision-making. While both roles involve working with data, internships are training positions, whereas Data Analysts are full-time professionals with broader responsibilities.

What are the most commonly searched types of Data Validation jobs in New York?

The most popular types of Data Validation jobs in New York are:

What are popular job titles related to Internship Data Validation jobs in New York?

For Internship Data Validation jobs in New York, the most frequently searched job titles are:

What job categories do people searching Internship Data Validation jobs in New York look for?

The top searched job categories for Internship Data Validation jobs in New York are:

What cities in New York are hiring for Internship Data Validation jobs?

Cities in New York with the most Internship Data Validation job openings:

Internship Data Validation jobs near you
Infographic showing various Internship Data Validation job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

IT Systems Analyst - Data, AI & Automation

Canus Tech

Parsippany, NJ • On-site

Full-time

Re-posted 9 days ago

Job description

Canus Tech is seeking motivated graduates interested in building careers in Data Analytics, Artificial Intelligence (AI), Automation, and enterprise technology consulting. This role provides structured training and hands-on exposure to data-driven business solutions, reporting, analytics, intelligent automation, and emerging AI technologies across multiple industries.
Key Responsibilities:
  • Assist in gathering, analyzing, and interpreting business and operational data to support decision-making and process improvement initiatives.
  • Support development, testing, and maintenance of reports, dashboards, data models, and analytical solutions.
  • Participate in data validation, quality checks, data preparation, and documentation activities.
  • Contribute to AI, automation, and digital transformation initiatives under supervision.
  • Assist in identifying opportunities to improve business processes through analytics, automation, and technology solutions.
  • Collaborate with cross-functional teams to support data, reporting, and enterprise technology projects.
  • Maintain project documentation, process flows, technical specifications, and operational procedures.
Required Qualifications:
  • Bachelors or Masters degree in Information Systems, Computer Science, Data Science, Engineering, Business Analytics, Mathematics, Statistics, MIS, or related disciplines is required.
  • Strong analytical, problem-solving, and communication skills.
  • Interest in Data Analytics, Artificial Intelligence, Machine Learning, Business Intelligence, Automation, or Digital Transformation.
  • Relevant internship, academic project, technical training, or related experience is preferred.
  • Exposure to SQL, Python, Power BI, Tableau, Excel, databases, cloud platforms, AI tools, analytics platforms, or automation technologies is a plus.
What We Offer:
  • Structured training and mentorship programs
  • Exposure to enterprise consulting and technology environments
  • Career growth opportunities in Data, AI, Analytics, and Automation
  • Hands-on experience with modern business and technology solutions
  • Collaborative and learning-focused work culture

Canus Tech is an equal opportunity employer committed to fostering a professional and growth-oriented work environment.

Apply