Order Status Data Cleanup
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
I maintain an online database that tracks customer order status, and over time the records have become inconsistent—duplicate entries, miss-tagged statuses, stray characters, and occasional blank fields are all getting in the way of accurate reporting. I need a detail-oriented freelancer who can log in remotely and clean up these records without disrupting live operations.
You will work directly inside the web-based system, so no spreadsheets or offline tools are required. The work is strictly data cleanup: locate and merge duplicates, correct obvious typos, standardise status values to the approved list, and flag anything that looks suspicious so I can review it. Because this is an active database, please avoid changing timestamps or any fields not related to order status.
I expect you to commit a few hours each day on a part-time, flexible schedule until the backlog is clear. Communication can happen through chat or email; quick questions are welcome so mistakes don’t propagate.
Deliverables
• All order-status fields normalised and free of duplicates
• A brief log of records you changed or flagged for review
• Confirmation that integrity checks inside the platform pass after your updates
If you have prior experience tidying large online datasets and can demonstrate an eye for precision, I’m ready to give you access and get started right away.
You will work directly inside the web-based system, so no spreadsheets or offline tools are required. The work is strictly data cleanup: locate and merge duplicates, correct obvious typos, standardise status values to the approved list, and flag anything that looks suspicious so I can review it. Because this is an active database, please avoid changing timestamps or any fields not related to order status.
I expect you to commit a few hours each day on a part-time, flexible schedule until the backlog is clear. Communication can happen through chat or email; quick questions are welcome so mistakes don’t propagate.
Deliverables
• All order-status fields normalised and free of duplicates
• A brief log of records you changed or flagged for review
• Confirmation that integrity checks inside the platform pass after your updates
If you have prior experience tidying large online datasets and can demonstrate an eye for precision, I’m ready to give you access and get started right away.
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