Sr. People Analytics Analyst

About the role

The role is based in Bellevue, Chicago, Carpinteria, Detroit, New York City, Omaha, Sunnyvale, San Francisco, or Washington, D.C. The work location is hybrid.

Responsibilities

• Partner with functional teams, HR Technology, Engineering, Legal, Privacy, and Security teams to define and operationalize enterprise data governance policies, standards, and stewardship models
• Help establish scalable governance frameworks that improve trust, consistency, accessibility, compliance, and usability of workforce data across reporting, analytics, automation, and AI-driven use cases
• Drive governance initiatives focused on foundational AI readiness, including trusted data structures, standardized definitions, metadata enrichment, lineage visibility, and scalable semantic models
• Evaluate and improve upstream business processes and data capture mechanisms to ensure enterprise systems produce high-quality, reliable, and AI-consumable data
• Partner with cross-functional stakeholders to define enterprise metric standards, business glossary definitions, ownership models, and stewardship accountability frameworks
• Support enterprise metadata management, cataloging, taxonomy management, lineage documentation, and semantic layer governance initiatives
• Define and operationalize data quality management practices including observability, issue triage, remediation workflows, SLA management, and certification processes
• Collaborate with data scientists, analytics teams, and engineering organizations to translate business requirements into scalable governance-enabled data solutions
• Support the development of governance knowledge management capabilities including training, governance documentation, playbooks, operating procedures, and adoption frameworks
• Develop and analyze SQL-based queries and semantic models to validate data integrity, reconcile metrics, and support governance controls
• Partner with Engineering and platform teams to support implementation of modern cloud-based data ecosystems, governance tooling, and master data management solutions
• Support access governance and data security processes including documentation of enterprise access models, sensitive data handling standards, and governance controls
• Contribute to governance-related transformation programs supporting workforce planning, reporting modernization, analytics enablement, and AI-driven operational capabilities
• Operate effectively within Agile delivery frameworks including Scrum and Kanban models while managing multiple cross-functional priorities

Qualifications

• BA/BS degree in Computer Science, Information Systems, Analytics, Engineering, or related field
• 5+ years of experience in Data Governance, Data Management, Analytics Engineering, or related enterprise data disciplines
• 8+ years of overall experience in Data, Analytics, Business Intelligence, or Technology functions

Preferred Qualifications

• Experience implementing or supporting enterprise Data Governance programs, preferably within HR, People Analytics, or workforce-related domains
• Strong understanding of modern Data Governance principles including stewardship, ownership, metadata management, lineage, observability, and data quality management
• Experience supporting AI-ready data ecosystems through standardized data foundations, semantic modeling, metadata enrichment, and scalable governance practices
• Strong proficiency in SQL/T-SQL and experience working with databases, semantic layers, and enterprise analytics environments
• Experience with cloud-based data platforms, ETL/data pipelines, and modern data architecture patterns
• Experience with data governance, metadata management, observability, catalog, or master data management tools (e.g., Profisee or similar platforms)
• Familiarity with Power BI, DAX, SSAS, reporting frameworks, and semantic modeling concepts
• Experience defining enterprise metrics, business rules, governance workflows, and standardized reporting definitions
• Experience supporting enterprise data access governance, security frameworks, and compliance-related data controls
• Strong problem-solving, stakeholder management, communication, and executive presentation skills
• Ability to influence cross-functional teams and drive governance adoption across large, matrixed organizations
• Experience working in Agile delivery models including Scrum and Kanban frameworks
• Strong understanding of data requirements supporting analytics, workforce planning, business intelligence, automation, and AI enablement