Data Quality & Research Specialist I

RELX International; Philippines; On-site; PHP 223,000 - 446,000; Full time

Benefits offered by this job

Country-specific benefits

Job summary

RELX International is seeking a detail-oriented professional to maintain and update customer data repositories, ensuring data quality and security in support of analytics and marketing initiatives.

You will manage data integrity, liaise with IT and data teams, and perform web-based validation and enrichment of external data sources. Strong communication and organization are essential, along with the ability to learn enterprise AI tools.

Qualifications

• Bachelor's degree required.
• Experience in database management, data mining and customer segmentation.
• Strong sense of ownership and systematic approach to tasks.
• Excellent written and verbal communication and collaboration across levels of the organization.
• Willingness to learn and apply enterprise AI tools and technologies.

Responsibilities

• Maintains and updates customer data repositories to support analysis and data-driven marketing.
• Manages information security, data protection, and data quality.
• Liaises with IT and other data management functions as required.
• Enters and verifies contact information through manual processes.
• Validates and updates data from external sources via web research; corrects database as needed.
• Ensures data cleansing guidelines are followed and data quality is high.

Skills

Data management

Data mining

Customer segmentation

Data quality

Project management

Written & verbal communication

Adaptability

Education

Bachelor's Degree

Tools

Enterprise AI tools

Job description

RELX International is seeking a detail-oriented professional to maintain and update customer data repositories, ensuring data quality and security in support of analytics and marketing initiatives.

You will manage data integrity, liaise with IT and data teams, and perform web-based validation and enrichment of external data sources. Strong communication and organization are essential, along with the ability to learn enterprise AI tools.