2 дня назад
Senior People Analytics Manager (Visier)
145 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior People Analytics Manager (Visier) (HR analytics/AI): Building an AI-powered self-service analytics suite for the People team, combining governed Visier dashboards with Claude-powered analysis on modeled HR data with an accent on data quality, governance, and enablement. Focus on owning the Visier platform, defining secure metrics and access rules for sensitive people data, integrating warehouse models, and helping HR stakeholders make reliable data-driven decisions.
Location: On-site in San Francisco or Sunnyvale, California, United States
Salary: $145,000–$175,000 per year plus bonus and restricted stock units
Company
builds vertically integrated energy and AI infrastructure, operating technology across power, data center, and cloud services to support large-scale AI workloads.
What you will do
- Own the Visier platform, including configuration, metric definitions, security models, release management, and vendor coordination.
- Build and expand Visier metrics, boards, alerts, and data subjects while managing integration with the enterprise data platform.
- Define data-quality checks, triage failures, and drive fixes back to source systems.
- Develop AI-assisted and self-service analytics that provide consistent answers across Claude and Visier.
- Document data models, business logic, caveats, and access rules for sensitive compensation and performance data.
- Partner with Talent Acquisition, Total Rewards, People Operations, Employee Success, and People Science to establish durable reporting and enablement programs.
Requirements
- 4+ years of experience in people analytics, HR technology, or a related field.
- Hands-on Visier experience, including at least one implementation or meaningful capability expansion.
- Strong SQL skills and experience working with a cloud data warehouse.
- Deep understanding of recruiting, compensation, performance, and organizational data.
- Experience with training, documentation, self-service analytics, and pragmatic data governance.
- Ability to work independently, manage concurrent workstreams, and handle sensitive data discreetly.
Nice to have
- Analytics engineering experience with dbt, version control, CI/CD, and dimensional modeling.
- Experience exposing warehouse data to LLMs or agentic interfaces through semantic layers or MCP.
- Experience with Rippling, Workday, Ashby, Lattice, TeamOhana, BigQuery, Power BI, Tableau, or Sigma.
- Background in high-growth or infrastructure environments.
Culture & Benefits
- Competitive compensation, bonus, equity, and restricted stock units.
- Paid time off, holidays, leave programs, and parental leave.
- Health, dental, vision, life, disability, and mental health coverage.
- 401(k) plan with employer matching up to 4% of salary and HSA contributions.
- Professional development, tuition reimbursement, commuter benefits, meals allowance, and cell phone stipend.
- Global travel insurance, volunteer time off, and location-specific programs.
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