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Data Validation Intern / Fresher

Rchilli · Mohali, Punjab, India
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Mohali, Punjab, India
languages
python, sql
tools
> stack
pythonsql
> education
ms
> description

Job Description: Data Validation Intern / Fresher



Department: Data Team 



Location: Mohali, Shift - Day shift



Employment Type: Internship (Full-Time) 



About the Role



We are looking for a detail-oriented and motivated Data Validation Intern/Fresher to join our Data team. This is a great opportunity for someone starting their career in data operations, quality assurance, or analytics to gain hands-on experience validating, cleaning, and maintaining the accuracy and integrity of large datasets that power our business decisions.



Key Responsibilities



  • Validate incoming data against defined business rules, formats, and quality standards
  • Identify, flag, and document data discrepancies, errors, and inconsistencies
  • Perform manual and semi-automated checks to ensure data accuracy and completeness
  • Cross-verify data across multiple sources/systems to confirm consistency
  • Support the creation and maintenance of validation checklists, SOPs, and quality reports
  • Assist in cleaning, formatting, and organizing raw data for downstream use
  • Collaborate with data analysts, engineers, and QA team members to resolve data issues
  • Escalate recurring or high-impact data quality issues to senior team members
  • Maintain logs/trackers of validation activities and outcomes
  • Support ad-hoc data audits and quality improvement initiatives


Required Skills & Qualifications



  • Bachelor's degree (or final-year student) in Computer Science, Statistics, Mathematics, Commerce, or a related field
  • Strong attention to detail and a methodical approach to work
  • Basic proficiency in MS Excel/Google Sheets (formulas, filters, pivot tables)
  • Basic understanding of databases and SQL is a plus (not mandatory)
  • Good analytical and problem-solving skills
  • Strong written and verbal communication skills
  • Ability to work independently as well as collaboratively in a team


Good to Have (Not Mandatory)



  • Familiarity with data validation or QA tools
  • Exposure to Python, SQL, or scripting for data checks
  • Prior internship or academic project experience involving data handling
  • Understanding of data privacy and confidentiality practices


What We Offer



  • Hands-on experience working with real-world datasets
  • Mentorship from experienced data professionals
  • Exposure to data quality frameworks and best practices
  • Certificate / Pre-placement offer potential