Sr. People Analytics Analyst

LinkedIn•Sunnyvale, CA

2d•$101,000 - $164,000•Hybrid

About The Position

This role is part of LinkedIn’s People Analytics organization within the Global Talent Organization, which enables strategic workforce decisions through trusted data, scalable insights, and modern analytics platforms. The position supports operationalizing LinkedIn’s People Data Governance program across its operating model, data certification, data quality, metadata and master data management, adoption, automation, and AI-related governance. The analyst turns governance strategy into consistent, repeatable, well-documented practices. They partner with People Analytics, HR Technology, Engineering, Legal, Privacy, Security, and business functions so people data is trusted, well-defined, consistently used, and prepared to support reporting, analytics, and emerging AI use cases. The role requires collaboration, organization, and influence to bring structure to complex work, clarify responsibilities, and translate governance objectives into practical processes. The position is hybrid and may be based in Sunnyvale, San Francisco, Carpinteria, New York City, Chicago, Detroit, Washington, D.C., or Omaha. Work is performed both from home and from a LinkedIn office on select days, as determined by team business needs. The stated pay range is $101,000–$164,000; compensation depends on factors including skills, experience, certifications, and work location. Total compensation may also include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans.

Requirements

Bachelor’s degree in Information Systems, Data Management, Business, Human Resources, Analytics, Computer Science, or a related field, or equivalent practical experience.
At least 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.
Ability to communicate clearly with technical and non-technical audiences and document decisions and requirements to support consistent execution.

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 clear, 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, 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.
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 improvements.
Work 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 to improve consistency and usability of people data across systems and reporting solutions.
Create repeatable governance workflows, templates, playbooks, standards, and documentation.
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 updates to program leaders and stakeholders.
Partner with Legal, Privacy, Security, HR Technology, Engineering, and People Analytics to support responsible data access, usage, sharing, and retention.
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.