{"id":3618694,"url":"https://alion.io/job/linkedin-sr-people-analytics-analyst","title":"Sr. People Analytics Analyst","company":{"id":13163,"name":"LinkedIn","domain":"linkedin.com","url":"https://alion.io/company/linkedin","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":14,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":101000,"max":164000,"currency":"USD","period":"year","gross":null,"usd_annual":164000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2026-11-02T17:27:15Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T07:34:33Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nJoin us to transform the way the world works.\n This role may be based in Sunnyvale, San Francisco, Carpinteria, New York City, Chicago, Detroit, Washington, D.C.,or Omaha.\nAt 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.\nThis 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.\nWe 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.\nThis 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.\nResponsibilities\nSupport the People Data Governance operating model by helping maintain clear data ownership, stewardship responsibilities, decision rights, and escalation paths.\nPartner with data owners, data stewards, analytics teams, and technical partners to document and operationalize consistent governance processes.\nCoordinate data certification activities, including defining certification requirements, documenting review criteria, tracking approvals, and maintaining certification records.\nHelp establish and maintain standards for trusted data products, certified metrics, business definitions, and approved data sources.\nSupport data quality processes by documenting rules, monitoring issues, coordinating remediation, and tracking quality improvements with business and technical partners.\nPartner with stakeholders to identify the business impact of data quality issues and establish appropriate ownership and resolution plans.\nDevelop and maintain business glossaries, data dictionaries, metadata documentation, lineage information, ownership records, and related governance materials.\nSupport master and reference data management practices that improve the consistency and usability of people data across systems and reporting solutions.\nCreate repeatable governance workflows, templates, playbooks, standards, and documentation that enable teams to apply governance practices consistently.\nFacilitate working sessions, governance reviews, decision forums, and stakeholder discussions across business and technical teams.\nSupport governance adoption through communications, training materials, office hours, onboarding resources, and change-management activities.\nTrack governance priorities, decisions, risks, dependencies, and action items, and provide clear updates to program leaders and stakeholders.\nPartner with Legal, Privacy, Security, HR Technology, Engineering, and People Analytics teams to support responsible data access, usage, sharing, and retention practices.\nHelp assess governance requirements for analytics, machine learning, and AI use cases involving people data.\nSupport the development of governance automation, monitoring, and AI-enabled capabilities that improve the scalability and effectiveness of the program.\nIdentify opportunities to simplify governance processes, reduce manual work, and improve the experience of data owners, stewards, producers, and consumers.\n Basic Qualifications\nBachelor's degree in Information Systems, Data Management, Business, Human Resources, Analytics, Computer Science, or a related field, or equivalent practical experience.\n3+ years of experience in data governance, data management, data stewardship, data quality, metadata management, analytics, or a related discipline.\nExperience supporting or implementing data governance operating models, standards, policies, processes, or controls.\nBackground documenting business definitions, data ownership, data lineage, data quality rules, or certification requirements.\nExperience coordinating work across business, analytics, and technical stakeholders.\nAbility to create process documentation, standards, templates, playbooks, or training materials.\nExperience facilitating meetings, working sessions, or decision-making discussions with cross-functional partners.\nAbility to organize and manage multiple priorities, dependencies, decisions, and follow-up items.\nPreferred Qualifications\nExperience working with HR, workforce, talent, or people analytics data.\nWorking knowledge of HR systems and data ecosystems, such as Workday.\nHands-on experience with data catalog, metadata management, data quality, data lineage, or master data management tools.\nFamiliarity with cloud data platforms and modern analytics environments, including platforms such as Databricks.\nExperience supporting data certification, certified metrics, semantic models, or governed reporting environments.\nBackground working in environments involving sensitive, confidential, or regulated data.\nWorking knowledge of privacy, security, access management, retention, and responsible data-use practices.\nExperience supporting governance adoption, change management, communications, or training programs.\nFamiliarity with automation, AI, generative AI, or governance requirements for AI-enabled data products and use cases.\nAbility to translate governance concepts into clear and practical processes for technical and non-technical audiences.\nHow You Will Lead\nYou 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.\nYou 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.\nSuggested Skills\nData Governance\nData Stewardship\nData Quality\nMetadata Management\nMaster Data Management\nPeople Analytics\nLinkedIn is committed to fair and equitable compensation practices.\nThe 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.\nThe 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.\n Equal Opportunity Statement\nWe 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.\nLinkedIn 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.\nIf 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.\nFill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36\nReasonable 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:\nDocuments in alternate formats or read aloud to you\nHaving interviews in an accessible location\nBeing accompanied by a service dog\nHaving a sign language interpreter present for the interview\nA 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.\nLinkedIn 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.\nSan Francisco Fair Chance Ordinance\nPursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.\nPay Transparency Policy Statement\nAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.\nGlobal Data Privacy Notice and Compliance Posters for Job Candidates\nPlease 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.","description_format":"text","description_chars":11034,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["E-learning","Job Boards & Aggregators","Professional 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