Data Analyst II

RELX; Manila; On-site; PHP 300,000 - 520,000; Full time

Benefits offered by this job

Country-specific benefits

Job summary

RELX is seeking a Business Intelligence Data Steward in Manila to maintain data quality across enterprise systems and support the Risk and Sales organizations. You will partner with Risk units to ensure data is created, managed, and effectively utilized, enabling strong analytical capabilities and improved sales productivity.

The role supports governance initiatives and requires collaboration across teams to resolve data issues, standardize processes, and promote trusted data assets for

Qualifications

• Bachelor’s Degree required.
• 1+ years’ experience in data management, governance, quality.
• Strong communication with business partners.
• Ability to learn AI tools and technologies.
• Analytical thinking and ability to document findings.
• Understand data stewardship and governance concepts.

Responsibilities

• Maintain data accuracy, consistency, and integrity across enterprise data.
• Research and resolve data quality issues across systems.
• Perform cleanup, enrichment, deduplication, householding, remediation to improve data usability.
• Validate relationships for accurate reporting, sales visibility, and territory alignment.
• Collaborate with cross‑functional teams to identify root causes and implement corrective actions.
• Participate in governance activities, lifecycle management, and standardization.
• Analyze data trends and quality metrics to identify risks and improvements.
• Monitor and communicate data quality metrics and best practices.
• Collaborate with RELX data stewardship partners to promote scalable data management.

Skills

Data governance

Data quality

Master data management

Data analysis

Documentation

Communication

Critical thinking

Teamwork

Learning AI tools

Independent work

Education

Bachelor’s Degree

Tools

AI tool familiarity

Job description

The Business Intelligence Data Steward is responsible for maintaining consistent data quality among managed entities in our business systems and is a key contributor to both the maintenance and utility of our data assets. This role partners across the Risk business units to ensure data is created, managed, and effectively utilized. The work performed by this role is foundational to building best-in-class analytical capabilities on behalf of the LexisNexis Risk Solutions Sales organization. This role supports Sales Operations’ overarching mission to deliver increased sales effectiveness and sales productivity, and influence sales performance behaviors.

Accountabilities

• Maintain the accuracy, consistency, completeness, and integrity of enterprise data by applying established data governance standards, processes, and policies.
• Research, analyze, and resolve data quality issues across business systems, including account ownership, customer relationships, parent-child hierarchies, organizational structures, and industry classifications.
• Perform data cleanup, enrichment, deduplication, householding, hierarchy maintenance, and remediation activities to improve the completeness, accuracy, and usability of account, customer, billgroup, and contact records.
• Validate customer, enterprise, household, legal entity, and billgroup relationships, including parent and subsidiary structures, to support accurate reporting, sales visibility, territory alignment, and business processes.
• Partner with cross-functional teams to identify root causes of data issues, implement corrective actions, and support ownership alignment, territory assignments, customer hierarchy management, and governance initiatives.
• Participate in enterprise data governance activities, including stewardship reviews, business rule validation, lifecycle management, data standardization, and continuous improvement efforts.
• Analyze data trends, exceptions, and quality metrics to identify risks, recommend process improvements, and support informed business decision-making.
• Monitor and communicate data quality metrics, document findings, recommend corrective actions, and provide guidance on data standards, governance policies, and best practices.
• Collaborate with data stewardship partners across RELX to promote consistent, effective, and scalable data management practices across business units.

Qualifications

• Bachelor’s Degree holder
• 1+ years’ experience in data management, data governance, data quality, master data management, and/or designing and implementing functional systems and data in a structured process preferred.
• Verbal and written communication skills with proven ability to establish and cultivate relationships with key business partners.
• Motivated to understand and keep current with relevant Industry trends and best practices.
• Strong critical thinking skills and ability to navigate ambiguous situations.
• Ability to work effectively both independently and in a team environment.
• Ability to prioritize and manage multiple tasks/projects along with recurring responsibilities and adjust to changing priorities with minimal leader input.
• Ability to research data definition, usage and flow to gain expertise in existing systems.
• Troubleshooting skills to investigate, resolve, and elevate problems. Identifies need for technical assistance to help in problem resolution.
• Understands and can apply key data stewardship and data governance concepts.
• Data and business analysis skills, including strong documentation skills.
• Have a general aptitude for tools
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

We know your well-being and happiness are key to a long and successful career.

• We are delighted to offer country specific benefits.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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