Data Research Specialist I

RELX International; Philippines; Sur place; PHP 223 000 - 446 000; Plein temps

Avantages offerts par ce poste

Country-specific benefits

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Data management

Data mining

Customer segmentation

Data quality

Project management

Written & verbal communication

Adaptability

Formation

Bachelor's Degree

Outils

Enterprise AI tools

Description du poste

Maintains and updates customer data repositories (data marts). Ensures data quality, security, and accurate data entry aligned to established procedures.

Accountabilities

• Develops and maintains customer information database (usually specific data marts) to support analysis, application development and data driven marketing techniques
• Manages information security, data protection, data quality and exchange
• Liaises with the IT and other data management functions as required both internally and externally
• Responsible for entering and verifying contact information through manual processes.
• Perform web searches to critically validate detailed law firm, corporate, academic tax, bar and government data and make corrections into database as and when necessary.
• Validate/acquire data from external data sources (Via Web)
• Compliance with data cleansing guidelines.
• Ensuring highest data quality and error free delivery of data.

General Profile

• Able to follow set instructions and processes to complete work
• Identifies the problem and all relevant issues in straightforward situations, assesses each using standard procedures and makes sound decisions
• Has prior relevant training or related work experience
• Has working knowledge and skills
• Recommended Skills Functional Knowledge: Performs routine tasks following specific instructions or under supervision
• Business Expertise: Understands how the assigned duties relate to others in the team and how the team integrates with other teams
• Leadership: Has no supervisory responsibilities; manages own workload
• Problem Solving: Work is clearly defined and completed according to instruction
• Impact: Impacts own team through the accuracy and quality of work Interpersonal
• Skills: Uses communication skills to exchange information

Qualifications

• Bachelor's Degree holder
• Experience in database management, as well as data mining and customer segmentation
• Has strong sense of ownership relating to tasks and responsibilities
• Organized and very systematic in handling tasks at hand
• Provide sound and sensible recommendation for improvement
• Must have excellent written and verbal communications skills and the ability to effectively collaborate across all levels of the organization.
• Proven success at managing change.
• Strong organizational, prioritization and delegation skills.
• Proven problem solving and analytical skills.
• Detail oriented and project management skills.
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

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