Data Processing and Cleaning

What can a Remote specialist of the Myspecialist network do for your application for "Data Processing and Cleaning"?

The same customer recorded three times under different names, incomplete addresses, phone numbers written ten different ways, supplier lists that each arrive in a different format: when a company’s files are in a mess, emails go to the wrong people, invoices bounce back and the figures can no longer be trusted. The data operator puts these files back in order. They correct, complete, sort and check the information, line by line if needed, and set simple rules so it stays clean over time.

Here is what a data operator from MySpecialist can take on:

• Cleaning and formatting: correcting errors and formats, and standardising names, addresses, phone numbers, codes and categories according to rules agreed with the company.
• Removing duplicates: finding customers, contacts or products recorded more than once in files or the CRM, and merging them into a single record that keeps the most reliable information.
• Data entry and updates: entering information from documents, forms, invoices, purchase orders or scanned paper documents, and checking it for consistency.
• Completing records: adding missing information from reliable sources such as websites, business directories, company registers, LinkedIn or specialised tools.
• Collecting information online: gathering public information from websites or platforms, manually or with dedicated tools, and organising it in a usable table.
• Classification and categorisation: assigning a category, sector, label or status to each record according to a defined taxonomy, so data can be sorted and targeted easily.
• Preparing imports and exports: putting files in the right format and checking them before they are loaded into a CRM, ERP, email platform or marketplace.
• Checking information: verifying email addresses, VAT numbers, postal addresses or identifiers, and flagging incorrect or outdated data.
• Quality control: sample checks and cross-checks to measure error rates and track how files improve over time.
• Advanced spreadsheet work: using Excel or Google Sheets with formulas, lookups, pivot tables and Power Query to process large volumes quickly.
• Documented entry rules: writing clear guidelines on how information is entered and filed, so the whole team applies the same rules.

The data operator can carry out a one-off clean-up of a customer or supplier database as well as regular processing of new data, adapting to each company’s tools, volumes and rules.