Department: Data Team
Location: Mohali, Shift - Day shift
Employment Type: Internship (Full-Time)
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.
- Validate incoming data against defined business rules, formats, and quality standards
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Identify, flag, and document data discrepancies, errors, and inconsistencies
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Perform manual and semi-automated checks to ensure data accuracy and completeness
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Cross-verify data across multiple sources/systems to confirm consistency
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Support the creation and maintenance of validation checklists, SOPs, and quality reports
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Assist in cleaning, formatting, and organizing raw data for downstream use
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Collaborate with data analysts, engineers, and QA team members to resolve data issues
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Escalate recurring or high-impact data quality issues to senior team members
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Maintain logs/trackers of validation activities and outcomes
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Support ad-hoc data audits and quality improvement initiatives
- Bachelor's degree (or final-year student) in Computer Science, Statistics, Mathematics, Commerce, or a related field
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Strong attention to detail and a methodical approach to work
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Basic proficiency in MS Excel/Google Sheets (formulas, filters, pivot tables)
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Basic understanding of databases and SQL is a plus (not mandatory)
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Good analytical and problem-solving skills
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Strong written and verbal communication skills
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Ability to work independently as well as collaboratively in a team
- Familiarity with data validation or QA tools
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Exposure to Python, SQL, or scripting for data checks
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Prior internship or academic project experience involving data handling
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Understanding of data privacy and confidentiality practices
- Hands-on experience working with real-world datasets
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Mentorship from experienced data professionals
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Exposure to data quality frameworks and best practices
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Certificate / Pre-placement offer potential
