Senior People Analytics Engineer

Job Description

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.

Qualifications

Education:

• 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 also be considered.

Experience:

• 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 compelling 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.

Preferred Qualifications:

• 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.

Skills and Competencies:

• Exceptional data storytelling and visualization skills, with the ability to turn complex analysis into clear, actionable insights and recommendations.
• Strong business acumen and the ability to connect workforce trends to broader organizational and business outcomes.
• Strong analytical and statistical reasoning skills, with the ability to structure complex business questions, apply appropriate analytical methods, and interpret results.
• Strong understanding of data modeling, business intelligence, and data governance principles, with the ability to translate complex, cross-system data into reliable analytical solutions.
• Excellent communication skills, with the ability to engage and influence both business and technical audiences.
• Strong consulting and stakeholder management skills, with the ability to build relationships, challenge assumptions, and influence 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, and collaborative, with a continuous improvement mindset and a willingness to mentor and develop other team members.

Language Requirements:

• Professional proficiency in English, both written and verbal, is required.

Working Conditions

• This role is expected to be hybrid, with flexibility to work across global teams and business hours as needed.
• Occasional travel to Solidigm offices or other locations may be required.

Additional Information

This position is also eligible to participate in Solidigm's restricted stock unit (RSU), restricted cash unit (RCU), and cash bonus programs. In addition, Solidigm offers a benefits package that includes medical, dental, vision, supplemental life and AD&D insurance; short- and long-term disability; healthcare and dependent care flexible spending accounts, and a company match on eligible 401(k) plan contributions.

The compensation range for this role is $101,040.00 - $161,700.00. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.