Sr. People Analytics Analyst

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

Qualifications Basic Qualifications

• Experience delivering technical or analytics projects in a large, matrixed organization, preferably within HR, People Analytics, or workforce-related domains. • Hands-on experience with several of the following technologies (deep expertise in every tool is not required): SQL/T-SQL, Python, Alteryx, Power BI, Power Apps, Power Automate, and Excel-based analytical solutions. • Experience with ETL processes and data pipelines, including data modeling, reporting and dashboard development, and data reconciliation and validation. • Experience with cloud-based data and analytics platforms such as Databricks, Azure, or similar ecosystems. • Familiarity with APIs and system integrations. • Demonstrated problem-solving and troubleshooting skills, with a pragmatic, outcome-oriented approach. • Experience establishing data ownership and stewardship models in a large, complex, matrixed organization. • Experience with policy setting, including data standards, business rules definition, data access governance, privacy, security, retention, and responsible data-use practices. • Familiarity with data catalog, data quality, metadata management, data lineage, or master data management tools. • Working knowledge of SQL and HR systems, analytics, and reporting environments (e.g., Workday, Power BI, Visier, or similar) sufficient to partner effectively with technical teams. • Understanding of how upstream HR business processes affect downstream data quality, analytics, and AI outcomes. • Experience supporting data certification, certified metrics, semantic models, or governed reporting environments. • Experience working with sensitive, confidential, or regulated data. • Interest in using automation and AI to scale governance practices, and familiarity with AI data readiness concepts. • Demonstrated documentation, facilitation, and change management skills, with the ability to make governance concepts clear and practical for non-technical audiences. • Demonstrated stakeholder management, communication, and presentation skills, with the ability to influence without authority and drive adoption. • Experience working in Agile delivery models such as Scrum and Kanban. 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.

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• 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.

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