Analyst - Global HR Business Data Steward

Merck; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Merck in Bengaluru is seeking an Analyst Global HR Business Data Steward to ensure high-quality, accessible, and compliant employee data across the HR ecosystem and downstream systems.

You will collaborate with data owners, domain experts, and process owners to align data governance with business needs, driving data quality improvements and sustainable data solutions.

This role emphasizes governance artifacts, catalogs, metadata, and RCA/CAPA actions to ensure reliable HR data across all systems.

Qualifications

• Bachelor’s degree or equivalent experience in a related field.
• 2-4+ years in data governance or HR data management.
• Strong understanding of data quality, metadata, catalogs, and lineage.
• Experience interfacing with data owners, domain experts, and stakeholders.
• Knowledge of HR data domains (employee, payroll, learning, etc.)

Responsibilities

• Establish data quality standards and business rules for HR data.
• Define and manage data catalogs, lineage, and metadata for HR assets.
• Monitor data quality metrics and drive remediation actions.
• Serve as change agent for data governance adoption.
• Collaborate with process owners and SMEs to align governance with business needs.

Skills

Data governance

Data stewardship

HR data management

SAP SuccessFactors EC

Data catalogs & metadata

Data quality & metrics

Root cause analysis (RCA)

Process improvement

Education

Bachelor's degree in HR/Information Management/Data Science/CS

Tools

SAP SuccessFactors

HRIS

SQL

Job description

You will be responsible for ensuring high-quality, accessible, and compliant employee data across the HR ecosystem and downstream systems

• The Analyst Global HR Business Data Steward acts as a collaborator, change catalyst, functional expert, and problem solver to guarantee data consistency and integrity across all HR and related data domains
• You will work closely with data owners, domain owners, business process experts, SMEs, and process owners to align data governance with business needs and co-create sustainable data solutions

Role Requirements

• Bachelors degree in Human Resources, Information Management, Data Science, Computer Science, or a related field; or equivalent work experience
• 2-4+ years in data governance, data stewardship, HR data management, or a related area; experience working with HR systems and downstream data consumers
• Good understanding of data governance concepts (quality, metadata, catalogs, lineage, retention) and data architecture basics; familiarity with HR data domains (employee org, payroll, compensation, Learning, Talent Acquisition, Skills data)
• Establish and maintain data quality standards, definitions, and business rules for employee data across HR systems and downstream applications
• Define and manage data cataloging, lineage, metadata, and data dictionaries for HR data assets
• Monitor, measure, and improve data quality metrics (completeness, accuracy, timeliness, consistency, integrity)
• Serve as a change agent to drive data quality improvements, data stewardship practices, and data governance adoption
• Facilitate data governance working groups; communicate risks, issues, and remediation plans to stakeholders
• Responsible for conducting Root Cause Analysis (RCA) initiate Corrective and Preventive (CAPA) actions
• Drive Process improvement Initiatives
• Knowledge of Skill and Talent sub domain will be an added advantage
• Whom should we hire Professional with experience in-depth knowledge of SAP SuccessFactors (EC)
• Good knowledge of HR data operations
• Functional knowledge in the HR domain

Preferred skills and capabilities

• Collaboration: Strong ability to engage with data owners, domain experts, process leads, and SMEs; effective facilitation and collaboration
• Analytical thinking: Problem-solving mindset with ability to perform root-cause analysis and data quality remediation
• Communication: Clear written and verbal communication; ability to translate data concepts into business terms
• Influence and adaptability: Comfortable driving improvements and adapting to evolving regulatory/business needs
• Attention to detail: Precise in documenting business rules, quality thresholds, and data definitions
• Multisystem perspective: Experience ensuring data consistency across HR systems and downstream processes (eg, payroll, benefits, analytics, Finance, IT, ERP/HRIS integrations)