Senior People Analytics Engineer

Solidigm • Rancho Cordova, CA

1d • Hybrid

About The Position

The Senior People Analytics Engineer advances Solidigm’s People Analytics capabilities by combining analytical expertise, data modeling and technical skills, and business acumen. The role designs and develops scalable, integrated workforce analytics solutions that turn complex data into insights and recommendations for business and workforce decisions. It bridges HR, HRIS, IT, enterprise data teams, and business stakeholders, translating business needs into analytical solutions and helping ensure workforce data is accurate, connected, and actionable.

The role leads complex workforce analyses, applies statistical methods and forecasting, develops data stories and executive-facing insights, and helps move the function beyond traditional reporting toward predictive and forward-looking workforce intelligence. It also leads priority People Analytics initiatives and serves as a key escalation point and backup to the Director on analytics matters. The position is expected to be hybrid, with flexibility to work across global teams and business hours as needed. Occasional travel to company offices or other locations may be required.

Requirements

• Bachelor’s degree in Data Analytics, Data Science, Information Systems, Computer Science, Human Resources, Business, Economics, Statistics, or a related field; equivalent combinations of education and relevant experience may be considered.
• 7+ years of progressive experience in People Analytics, HR analytics, business intelligence, data analytics, or a related field.
• Strong knowledge of Workday HCM data structures, reporting, and workforce metrics across the employee lifecycle.
• Strong hands-on experience with SQL, data transformation, analytical data modeling, and complex cross-system datasets.
• Advanced Power BI experience, including DAX, Power Query, semantic models, dashboards, and visualization.
• Experience with Workday Prism Analytics, Workday Data Cloud, or comparable enterprise analytics platforms.
• Demonstrated experience applying statistical analysis, trend analysis, forecasting, and quantitative methods to complex business questions.
• Proven ability to translate complex data into actionable business insights, recommendations, and executive-level communications.
• Experience leading complex analytics initiatives and partnering across HR, IT, Finance, and other business functions.
• Ability to collaborate effectively across global teams and time zones.
• Ability to travel occasionally for team meetings, planning sessions, or other business needs.
• Professional proficiency in written and spoken English.
• Exceptional data storytelling and visualization skills; ability to turn complex analysis into clear, actionable insights and recommendations.
• Strong business acumen and ability to connect workforce trends to organizational and business outcomes.
• Strong analytical and statistical reasoning, including structuring complex business questions, selecting appropriate analytical methods, and interpreting results.
• Strong understanding of data modeling, business intelligence, and data governance principles.
• Excellent communication skills and ability to engage and influence business and technical audiences.
• Strong consulting and stakeholder management skills, including building relationships, challenging assumptions, and influencing decisions across functions.
• Strong project management and organizational skills, with the ability to manage competing priorities and lead complex initiatives across teams without direct authority.
• Commitment to data quality, accuracy, privacy, security, and responsible handling of sensitive workforce information.
• Proactive, curious, collaborative, and committed to continuous improvement and mentoring others.

Nice To Haves

• Experience with Python or R, predictive modeling, machine learning, or advanced statistical techniques.
• Familiarity with Snowflake, Databricks, Microsoft Fabric, Azure, or similar enterprise data platforms.
• Experience supporting workforce planning, talent strategy, or other advanced People Analytics use cases.
• Experience working in a global or multinational organization.

Responsibilities

• Lead complex, cross-system workforce analyses using statistical methods, forecasting, and scenario modeling to identify trends, risks, and opportunities; translate findings into recommendations for HR and business leaders.
• Partner with People Analytics analysts and business stakeholders to develop workforce insights, dashboards, and executive presentations.
• Design, build, and maintain scalable workforce datasets, analytical data models, and reusable semantic models across Workday and enterprise data platforms.
• Develop and validate integrated analytical datasets using Workday Prism Analytics, Workday Data Cloud, or comparable platforms, combining HR, Finance, and business data.
• 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.
• Establish consistent workforce metrics, definitions, and calculations; partner with HRIS, IT, and business data owners to support accuracy, quality, security, and governance.
• Work with HRIS, IT, and enterprise data teams to define analytical requirements, validate integrated data, and support technical solutions; IT retains ownership of integrations, connectors, and platform infrastructure.
• Lead delivery of complex People Analytics initiatives, coordinating technical requirements, timelines, dependencies, and stakeholders in alignment with established priorities.
• Help expand predictive analytics, automation, self-service reporting, and AI-enabled workforce insights as data and technology capabilities mature.
• Support analytics capability development and data literacy across HR, including mentoring analysts and providing technical guidance to team members.
• Serve as a key escalation point and backup to the Director on analytics matters.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Supplemental life and AD&D insurance
• Short- and long-term disability coverage
• Healthcare and dependent care flexible spending accounts
• Company match on eligible 401(k) plan contributions
• Eligibility to participate in restricted stock unit (RSU), restricted cash unit (RCU), and cash bonus programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior