Excel Data Cleanup & Organization
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted1 hour ago
I have a raw Excel workbook that needs a careful sweep before it can be used for reporting. The file holds a few thousand rows spread across several sheets and currently suffers from duplicate records, inconsistent date and number formats, scattered blank cells, and a patchwork of column names.
Your job is to transform this messy source into a single, tidy .xlsx file that is ready for analysis. Standard Excel tools—filters, conditional formatting, VLOOKUP/XLOOKUP, PivotTables, data validation, and simple formulas—should be all you need; no macros or external add-ins are required.
Deliverables
• One consolidated, fully cleaned Excel workbook
• A short “change log” sheet noting what you removed, merged, or reformatted
• Optional: a brief note with recommendations if you spotted recurring data-quality issues
Acceptance Criteria
• Every duplicate row removed (exact and near-matches)
• Dates and numeric values rendered in a consistent, clearly documented format
• No empty critical fields, or a comment where data was missing and could not be recovered
• Column headers standardized as per the guide I will supply
• Final workbook opens without errors or broken references
I’ll share the current file plus a one-page style guide as soon as we start. Accuracy is my top priority, but I’d like the finished file back within two days of award. If you have handled similar data-cleaning projects, a quick example or testimonial will help me decide faster.
Your job is to transform this messy source into a single, tidy .xlsx file that is ready for analysis. Standard Excel tools—filters, conditional formatting, VLOOKUP/XLOOKUP, PivotTables, data validation, and simple formulas—should be all you need; no macros or external add-ins are required.
Deliverables
• One consolidated, fully cleaned Excel workbook
• A short “change log” sheet noting what you removed, merged, or reformatted
• Optional: a brief note with recommendations if you spotted recurring data-quality issues
Acceptance Criteria
• Every duplicate row removed (exact and near-matches)
• Dates and numeric values rendered in a consistent, clearly documented format
• No empty critical fields, or a comment where data was missing and could not be recovered
• Column headers standardized as per the guide I will supply
• Final workbook opens without errors or broken references
I’ll share the current file plus a one-page style guide as soon as we start. Accuracy is my top priority, but I’d like the finished file back within two days of award. If you have handled similar data-cleaning projects, a quick example or testimonial will help me decide faster.
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