Sr. Analytics Analyst

Position: Sr. People Analytics Analyst
Company Description Linked In  is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

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

At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.  This role will be part of the People Analytics organization within Linked In'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 Linked In'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…