Analytics Engineer Jobs in Santa Clara, CA

Position: Sr. Manager, People Analytics
Location: Santa Clara, CA

Key Responsibilities

People Analytics & Workforce Insight:

- Partner with HR and business stakeholders to understand strategic priorities and deliver data, reporting, and actionable workforce insights that support business success.
- Develop and scale people analytics capabilities that move beyond descriptive reporting toward predictive insights and workforce planning.
- Design and deliver executive dashboards, scorecards, and self-service reporting solutions that provide timely, trusted, and actionable workforce insights.
- Analyze workforce trends and key drivers impacting areas such as hiring, retention, engagement, organizational effectiveness, and talent development.
- Support strategic workforce planning initiatives through data-driven forecasting and analytics.

AI-Enabled Analytics & Automation:

- Identify opportunities to leverage AI-enabled analytics and automation to improve workflow efficiency, automate repetitive reporting and analysis tasks, and accelerate insight generation.
- Partner with technical teams to implement scalable analytics solutions that incorporate predictive analytics and intelligent automation where appropriate.
- Drive continuous improvement initiatives focused on simplifying processes, reducing manual effort, and increasing scalability across analytics and reporting operations.
- Promote strong governance, privacy, and data quality practices related to workforce data.

Data & Reporting Excellence:

- Serve as a subject matter expert on workforce data, HR reporting processes, and analytics best practices.
- Drive continuous improvements in reporting automation, data quality, metric standardization, and visualization design.
- Partner with HR technology, IT, and data teams to improve the scalability and reliability of workforce data and analytics platforms.
- Establish consistent workforce metrics and governance processes across HR functions.

Cross-Functional Leadership & Influence:

- Build strong relationships with stakeholders across HR, Finance, IT, Talent Acquisition, Total Rewards, and business leadership teams.
- Translate complex workforce data into clear, compelling narratives and recommendations for senior leadership.
- Lead cross-functional initiatives and influence stakeholders across a highly matrixed environment.
- Continuously prioritize efforts and investments based on areas of highest business impact.

Qualifications

- 8+ years of progressive experience in People Analytics, Workforce Analytics, HR Strategy, Data & Analytics, Consulting, or related analytical functions, preferably within a high-growth technology company or top-tier consulting organization.
- Strong expertise in workforce analytics domains such as workforce planning, talent acquisition, employee engagement, retention, organizational effectiveness, compensation analytics, or talent development.
- Experience leveraging AI-enabled capabilities, automation, and advanced analytics to streamline workflows, improve operational efficiency, and enhance decision-making processes.
- Demonstrated ability to identify opportunities for workflow optimization and drive adoption of scalable analytics and reporting solutions.
- Proven track record of solving complex business problems and using data-driven storytelling to influence senior leaders and drive business outcomes.
- Experience developing high-impact dashboards, analytics solutions, or data products that improved operational effectiveness and strategic decision-making.
- Strong understanding of HR data ecosystems and reporting platforms, including HRIS and workforce analytics tools.
- Experience with analytics and visualization platforms such as Tableau, Power BI, Snowflake, Workday, Visier, or similar technologies preferred.
- Strong collaboration, stakeholder management, and influencing skills within highly matrixed organizations.
- Outstanding verbal and written communication skills — structured, concise, and executive-ready.
- Proven ability to operate effectively in fast-paced environments with competing priorities and evolving business needs.
- Bachelor’s degree required; Master’s degree preferred. Preferred concentrations include Data Science, Statistics, Organizational Psychology, Economics, Computer Science, HR Analytics, or related quantitative disciplines.