Sr. People Analytics Analyst

This role may be based in Sunnyvale, San Francisco, Carpinteria, New York City, Chicago, Detroit, Washington, D.C.,or Omaha.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.  

This role will be part of the People Analytics organization within LinkedIn's Global Talent Organization. People Analytics enables better, faster, and more strategic workforce decisions through trusted data, scalable insights, and modern analytics platforms.

We are seeking a collaborative, process-minded Senior Data Governance Analyst to help operationalize LinkedIn's People Data Governance program. Reporting to the Senior Manager, People Data Governance, this role will work across the program's core areas, including the governance operating model, data certification, data quality, metadata and master data management, governance adoption, and governance automation and AI.

This individual will help turn governance strategy into consistent, repeatable, and well-documented practices. They will partner across People Analytics, HR Technology, Engineering, Legal, Privacy, Security, and business functions to help ensure that people data is trusted, well-defined, consistently used, and prepared to support reporting, analytics, and emerging AI use cases.

Responsibilities

• Support the People Data Governance operating model by helping maintain clear data ownership, stewardship responsibilities, decision rights, and escalation paths.
• Partner with data owners, data stewards, analytics teams, and technical partners to document and operationalize consistent governance processes.
• Coordinate data certification activities, including defining certification requirements, documenting review criteria, tracking approvals, and maintaining certification records.
• Help establish and maintain standards for trusted data products, certified metrics, business definitions, and approved data sources.
• Support data quality processes by documenting rules, monitoring issues, coordinating remediation, and tracking quality improvements with business and technical partners.
• Partner with stakeholders to identify the business impact of data quality issues and establish appropriate ownership and resolution plans.
• Develop and maintain business glossaries, data dictionaries, metadata documentation, lineage information, ownership records, and related governance materials.
• Support master and reference data management practices that improve the consistency and usability of people data across systems and reporting solutions.
• Create repeatable governance workflows, templates, playbooks, standards, and documentation that enable teams to apply governance practices consistently.
• Facilitate working sessions, governance reviews, decision forums, and stakeholder discussions across business and technical teams.
• Support governance adoption through communications, training materials, office hours, onboarding resources, and change-management activities.
• Track governance priorities, decisions, risks, dependencies, and action items, and provide clear updates to program leaders and stakeholders.
• Partner with Legal, Privacy, Security, HR Technology, Engineering, and People Analytics teams to support responsible data access, usage, sharing, and retention practices.
• Help assess governance requirements for analytics, machine learning, and AI use cases involving people data.
• Support the development of governance automation, monitoring, and AI-enabled capabilities that improve the scalability and effectiveness of the program.
• Identify opportunities to simplify governance processes, reduce manual work, and improve the experience of data owners, stewards, producers, and consumers.

Department: GTO
Function: Sales
Experience Level: Mid-Senior Level