Sr. People Analytics Analyst

LinkedIn • Sunnyvale, CA

1d • Hybrid

About The Position

This hybrid role is 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. The position may be based in Sunnyvale, San Francisco, Carpinteria, New York City, Chicago, Detroit, Washington, D.C., or Omaha, and will be performed both from home and from a LinkedIn office on select days according to business needs.

The role supports operationalizing LinkedIn's People Data Governance program across its operating model, data certification, data quality, metadata and master data management, governance adoption, and governance automation and AI. Reporting to the Senior Manager, People Data Governance, the analyst will turn governance strategy into consistent, repeatable, well-documented practices. The role partners across People Analytics, HR Technology, Engineering, Legal, Privacy, Security, and business functions to help ensure people data is trusted, well-defined, consistently used, and prepared for reporting, analytics, and emerging AI use cases.

Success requires collaboration, organization, and influence: bringing structure to complex governance work, clarifying responsibilities, and translating broad objectives into practical processes. The role communicates with technical and non-technical audiences, facilitates alignment, documents decisions and requirements, and helps teams balance data accessibility, quality, privacy, security, governance, and business needs.

Requirements

• Bachelor's degree in Information Systems, Data Management, Business, Human Resources, Analytics, Computer Science, or a related field, or equivalent practical experience.
• 3+ years of experience in data governance, data management, data stewardship, data quality, metadata management, analytics, or a related discipline.
• Experience supporting or implementing data governance operating models, standards, policies, processes, or controls.
• Background documenting business definitions, data ownership, data lineage, data quality rules, or certification requirements.
• Experience coordinating work across business, analytics, and technical stakeholders.
• Ability to create process documentation, standards, templates, playbooks, or training materials.
• Experience facilitating meetings, working sessions, or decision-making discussions with cross-functional partners.
• Ability to organize and manage multiple priorities, dependencies, decisions, and follow-up items.
• Clear communication with technical and non-technical audiences and ability to facilitate alignment across teams.

Nice To Haves

• Experience working with HR, workforce, talent, or people analytics data.
• Working knowledge of HR systems and data ecosystems, such as Workday.
• Hands-on experience with data catalog, metadata management, data quality, data lineage, or master data management tools.
• Familiarity with cloud data platforms and modern analytics environments, including platforms such as Databricks.
• Experience supporting data certification, certified metrics, semantic models, or governed reporting environments.
• Background working with sensitive, confidential, or regulated data.
• Working knowledge of privacy, security, access management, retention, and responsible data-use practices.
• Experience supporting governance adoption, change management, communications, or training programs.
• Familiarity with automation, AI, generative AI, or governance requirements for AI-enabled data products and use cases.
• Ability to translate governance concepts into practical processes for technical and non-technical audiences.

Responsibilities

• Support the People Data Governance operating model by maintaining 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 requirements, review criteria, approvals, and 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.
• Partner with stakeholders to identify the business impact of data quality issues and establish 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 people data consistency and usability across systems and reporting solutions.
• Create repeatable governance workflows, templates, playbooks, standards, and documentation.
• Facilitate working sessions, governance reviews, decision forums, and 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 updates to program leaders and stakeholders.
• Partner with Legal, Privacy, Security, HR Technology, Engineering, and People Analytics teams on responsible data access, usage, sharing, and retention practices.
• Help assess governance requirements for analytics, machine learning, and AI use cases involving people data.
• Support development of governance automation, monitoring, and AI-enabled capabilities.
• Identify opportunities to simplify governance processes, reduce manual work, and improve the experience of data owners, stewards, producers, and consumers.

Benefits

• Annual performance bonus may be included in the total compensation package.
• Stock may be included in the total compensation package.
• Benefits may be included in the total compensation package.
• Other applicable incentive compensation plans may be included in the total compensation package.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior