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Sr. People Analytics Analyst

Sunnyvale, CA, United States

The pay range for this role is $101,000-$164,000.

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Job details

Pay: The pay range for this role is $101,000-$164,000.
Experience: 3+ years of experience in data governance, data management, data stewardship, data quality, metadata management, analytics, or a related discipline.
Posting language: English
Posted: Nov 2, 2026

Original job description

Company Description LinkedIn 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 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.

Qualifications

Basic Qualifications

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.

Preferred Qualifications

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 in environments involving 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 and practical processes for technical and non-technical audiences.

How You Will Lead You will lead through collaboration, organization, and influence. You will bring structure to complex governance work, help partners understand their responsibilities, and turn broad governance objectives into practical and repeatable processes. You can communicate clearly with technical and non-technical audiences, facilitate alignment across teams, and document decisions and requirements in a way that supports consistent execution. You are comfortable working across multiple functions and helping teams balance data accessibility, quality, privacy, security, governance, and business needs. Suggested Skills

Data Governance
Data Stewardship
Data Quality
Metadata Management
Master Data Management
People Analytics

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $101,000-$164,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Additional Information

Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.

Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

Documents in alternate formats or read aloud to you
Having interviews in an accessible location
Being accompanied by a service dog
Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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