Data Cleanser

Outsourcing Advantage is seeking a detail-oriented Data Cleanser to join our team on a project-based contract. In this role, you will play a critical part in ensuring the accuracy and integrity of client datasets, directly supporting operational excellence for our partners.

Key responsibilities include:

• Cleanse and standardize datasets, including deduplication, formatting, and validation
• Review records for accuracy, completeness, and consistency
• Identify and resolve data discrepancies and missing information
• Maintain data quality documentation and adhere to data entry standards
• Generate basic reports and summaries from cleaned data

• 2+ years of professional data cleansing experience, including deduplication, standardization, formatting, and validation
• Proficiency with Excel or Google Sheets, including filters, formulas, and data validation
• Experience using Zoho CRM
• Business-fluent English
• Ability to provide a brief English voice note introducing yourself
• Based in South Africa, Colombia, Ukraine, Argentina, Brazil, or Chile
• Able to overlap working hours with US Eastern Time (ET) business hours
• Available for a 4–8 week contract duration
• Ability to provide details of your equipment for work (laptop/desktop specs, headset)
• Ability to provide details on your power setup, including backup solutions (UPS/inverter/generator)
• Ability to provide details on your Internet connection and speed, including backups (mobile hotspot/second ISP)

Preferred Qualifications:

• Experience cleansing CRM contacts or leads data
• Experience cleansing product catalog data
• Experience cleansing invoices or billing records data
• Experience cleansing support ticket data

• Remote work opportunity with flexible scheduling to accommodate US Eastern Time overlap
• Project-based contract (4–8 weeks) offering exposure to international BPO operations
• Collaborative team environment with support from experienced data professionals
• Opportunity to work with leading data management tools and platforms
• Professional growth through hands-on experience with diverse datasets