Data Management Analyst

Job highlights

• Experience collaborating with business and technology stakeholders to resolve data issues. Data Management ExpertisSolid understanding of: f: . Data Quality dimensions and controls . Data Definition and metadata management . Business Glossaries and data cataloguing concepts . Master Data Management principles and lifecycle processes . Data quality monitoring and issue management

Data Management Analyst

Lloyds Register
Location: India, Malaysia, or Philippines

What Were Looking For

We are seeking a Data Management Analyst to join Lloyd s Register s Data Team, supporting the development and adoption of enterprise-wide data management capabilities across the organization.

This role is responsible for supporting data definition, data quality, and core data management activities to ensure that data remains accurate, transparent, and trusted across Lloyd s Register. Working closely with business stakeholders, Data Experts, technology teams, and governance forums, you will play an important role in improving data standards, resolving data quality issues, and supporting strategic data initiatives.

The ideal candidate will have experience in data quality, data governance, or master data management and enjoy working in a collaborative environment where analytical thinking, problem-solving, and continuous improvement are highly valued.

The Role

Key Responsibilities

Data Definition Metadata Management

• Support the maintenance and continuous improvement of Lloyd s Register s Business Glossary within Microsoft Purview.
• Assist in developing and maintaining data definition processes and standards.
• Work with Data Experts and Technology Teams to capture and document business terms, data definitions, and metadata.
• Support alignment between data definitions, application interfaces, reporting, analytics, and business processes.
• Monitor progress and communicate issues, risks, and recommendations to Data Governance stakeholders.

Data Quality Management

• Support the implementation and operation of Lloyd s Register s Data Quality Framework.
• Define, implement, and execute data quality rules and controls.
• Capture and maintain data quality issues within the enterprise Data Quality Issue Inventory.
• Work closely with Data Experts and Technology Teams to investigate and resolve data quality issues.
• Produce and maintain data quality metrics, dashboards, and performance reports.
• Support root cause analysis and continuous improvement initiatives to improve data quality across the organization.

Master Data Management

• Support the implementation and operation of Lloyd s Register s Master Data Management framework.
• Contribute to the Client Data Programme by helping establish trusted client data processes, governance controls, workflows, and approvals.
• Support the definition of client data requirements across consuming applications and systems.
• Assist with the implementation of client data models within Salesforce.
• Help define and implement controls to improve data quality and prevent data issues at source.
• Support the management of client data updates, merges, de-duplication, and retirement processes.Identify client data issues and work with stakeholders to support improvements..
• Provide updates and recommendations to Data Governance stakeholders on progress and emerging risks.

Stakeholder Engagement Collaboration

• Build effective working relationships with business, technology, and governance stakeholders.
• Collaborate with Data Experts to understand business requirements and data challenges.
• Communicate data-related issues, findings, and recommendations to both technical and non-technical audiences.
• Support the adoption of data standards, governance processes, and best practices across the organization.

Health, Safety Quality

• Promote a positive safety culture and ensure all activities are conducted in accordance with Lloyd s Register health, safety, and quality procedures.
• Support compliance with company policies, governance standards, and regulatory requirements.
• Identify risks and opportunities for improvement within data management processes.
• Contribute to continuous improvement initiatives and knowledge sharing across the organization.

What You Bring
Experience

• Experience working in Data Quality, Data Governance, Master Data Management, or related data management disciplines.
• Experience working within complex, multi-system business environments.
• Experience supporting data governance, metadata management, or data quality initiativesExperience working in regulated, compliance-focused, or risk-aware organizations.s.
• Experience collaborating with business and technology stakeholders to resolve data issues.

Data Management ExpertisSolid understanding of: f:

• Data Quality dimensions and controls
• Data Definition and metadata management
• Business Glossaries and data cataloguing concepts
• Master Data Management principles and lifecycle processes
• Data quality monitoring and issue management

Experience supporting:

• Data quality metrics and reporting

• Data quality controls and monitoring activities

• Metadata and business glossary management

• Data governance processes and standards

• Analytical Technical SkillWell-developed analytical and problem-solving skills with the ability to investigate data issues and identify root causes. s.

• Experience working with SQL and datasets to analyse and validate data.

• Ability to assess data quality issues across multiple systems and business processes.

• Experience using reporting and analytical tools to support investigations and performance monitoringFamiliarity with Microsoft Purview, Salesforce, or similar data management platforms.s.

• Communication CollaboratioWell-developed stakeholder management and relationship-building skills. s.

• Ability to communicate complex data concepts clearly and effectively.

• Comfortable working with both technical and non-technical stakeholders.

• Ability to work effectively in evolving environments and manage competing prioritiesEffective written and verbal communication skills.s.

Personal Attributes

• Accountable, pragmatic, and outcome-focusedKeen attention to detail with a continuous improvement mindsetCollaborative and resourceful.t.tInterested in continuous improvement and able to examine current processes critically, offering practical recommendations for enhancement.s.
• Committed to delivering high-quality outcomes and building trusted data assets.

Qualifications

• Bachelors degree in Data Management, Information Systems, Computer Science, Business Analytics, Mathematics, or a related disciplineRelevant certifications in Data Management, Data Governance, Analytics, or related fields.s.
• Eligibility to work in India, Malaysia, or the Philippines.

You will contribute to building trusted data foundations that enable operational excellence, innovation, and sustainable business growth.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.