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Data Quality Specialist

KDCI · National Capital Region, Philippines

Quick applyfull-timeabout 2 months ago

About The Role

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Data Quality Specialist

On-site

National Capital Region, Philippines

  • Short-term, project-based role focused on data quality and accuracy
  • Job details

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Job description

Job Summary

  • KDCI Outsourcing is seeking a Data Quality Specialist to support a short-term data research
  • and cataloging project focused on verifying and correcting company enrichment data for CMS
  • ingestion of companies. The role involves manual data entry, categorization, and basic data
  • cleanup to ensure information is organized and structured for internal use. Candidates should
  • be comfortable working with online sources and basic AI tools while maintaining accuracy and
  • confidentiality when handling sensitive project data.

Key Responsibilities

Data Collection & Entry

  • Use provided tools to research and compile information into a master list.
  • Ensure that data is complete, organized, and categorized correctly based on set

guidelines.

Data Processing & Cleanup

  • Perform data cleanup and formatting to ensure usability of the dataset.
  • Identify and resolve data quality issues such as duplicate entries, irrelevant entries,

missing required fields, and inconsistent formatting across records.

Visual Asset QA

  • Image quality review using a custom app and a content management system to verify

and update assets to meet quality requirements.

Confidentiality & Compliance

  • Handle confidential information responsibly and maintain strict data privacy standards.
  • Follow internal protocols for secure data handling and storage.

Job requirements

Job Requirements

  • Experience in data entry, data research, or administrative data processing.
  • Strong attention to detail and comfortable performing manual data entry and data

categorization tasks.

  • Comfortable using AI-assisted research tools, verifying information across multiple web

sources, and exercising judgment when data is ambiguous or incorrect.

  • Must be able to handle confidential data responsibly.
  • Basic proficiency in Google Sheets, Excel, or similar tools.
  • Able to work onsite and meet output-based performance expectations.

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