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The intern will be responsible for cleaning and organizing data, including identifying duplicates and inconsistencies. They will also perform data validation tasks and maintain structured records using various software tools.
This is a remote position.
• Currently enrolled student in Industrial Engineering, Business Administration, Statistics, Systems Engineering, Economics, or a related field (doesn't need to be close to graduation).
• Intermediate Excel: pivot tables, basic formulas (VLOOKUP, IF, COUNTIF), data formatting.
• Ability to follow structured instructions for data cleaning and organization (spotting duplicates, inconsistencies, missing fields).
• Basic understanding of databases or CRMs (prior hands-on experience with Zoho/HubSpot isn't required, but is a plus).
• Basic knowledge of Google Sheets.
• Familiarity with Power BI, Google Data Studio, or other visualization tools (a plus, not a filter).
• Very basic Python or SQL (not necessary for simple processing tasks, but a differentiator if the role's scope expands later).
• Attention to detail (critical for data cleaning/validation work).
• Organization and ability to follow repetitive processes without losing accuracy.
• Proactive communication (asks questions when something is unclear instead of assuming).
• Basic to intermediate English: able to read simple technical documentation and write short emails. Advanced spoken fluency not required.
• Compatible with school schedule (part-time, ideally 4-5 hours/day or per internship agreement).
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