Senior People Analytics Engineer

The Senior People Analytics Engineer plays a key role in advancing Solidigm's People Analytics capabilities by combining deep analytical expertise, strong data modeling and technical skills, and exceptional business acumen. This role designs and develops scalable, integrated workforce analytics solutions that turn complex data into meaningful insights and recommendations to support business and workforce decisions. Serving as a bridge between HR, HRIS, IT, enterprise data teams, and business stakeholders, this role translates business needs into analytical solutions and helps ensure workforce data is accurate, connected, and actionable. The successful candidate must be equally comfortable collaborating with technical teams on data models and integration requirements and partnering with HR and business leaders to understand workforce challenges, interpret findings, and influence decisions. The role will also help evolve Solidigm's People Analytics capabilities beyond traditional reporting toward more advanced, predictive, and forward-looking workforce intelligence, including statistical analysis, workforce forecasting, and scenario modeling. Working closely with other People Analytics team members, the Senior People Analytics Engineer will lead complex analyses, develop compelling data stories, and help build the foundation for future AI-enabled workforce insights. The role also leads delivery of priority People Analytics initiatives and serves as a key escalation point and backup to the Director on analytics matters.

• Advanced Analytics & Insights: Lead complex, cross-system workforce analyses, applying statistical methods, forecasting, and scenario modeling to identify trends, risks, and opportunities. Translate findings into actionable insights and recommendations for HR and business leaders.
• Data Storytelling & Business Partnership: Partner with People Analytics analysts and business stakeholders to develop compelling workforce insights, dashboards, and executive presentations that help leaders understand what is happening, why it matters, and what actions to consider.
• Analytics Engineering & Data Modeling: Design, build, and maintain scalable, business-ready workforce datasets, analytical data models, and reusable semantic models across Workday and enterprise data platforms.
• Cross-System Workforce Analytics: Develop and validate integrated analytical datasets using Workday Prism Analytics, Workday Data Cloud, or comparable enterprise platforms, combining HR, Finance, and business data to support workforce analytics.
• Business Intelligence & Reporting: Develop and optimize analytical solutions using Power BI, SQL, DAX, Power Query, Workday reporting, and related technologies, including executive dashboards, standardized measures, and self-service analytics.
• Data Quality & Governance: Establish consistent workforce metrics, definitions, and calculations while partnering with HRIS, IT, and business data owners to ensure accuracy, quality, security, and appropriate governance.
• Cross-Functional Technical Partnership: Work closely with HRIS, IT, and enterprise data teams to define analytical requirements, validate integrated data, and support technical solutions, while IT retains ownership of integrations, connectors, and platform infrastructure.
• Analytics Project Delivery: Lead and execute the delivery of complex People Analytics initiatives, coordinating technical requirements, timelines, dependencies, and stakeholders in alignment with established priorities.
• Advanced Analytics & Innovation: Help expand the use of predictive analytics, automation, self-service reporting, and AI-enabled workforce insights as data and technology capabilities mature.
• Capability Building: Support analytics capability development and data literacy across HR, including mentoring analysts and providing technical guidance to other team members.

Department: Human Resources
Function: Other
Experience Level: Not Applicable