Senior People Analytics Engineer

The Senior People Analytics Engineer plays a key role in advancing Solidigms 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 Solidigms 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:

• Bachelors 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 Solidigms restricted stock unit (RSU) restricted cash unit (RCU) and cash bonus 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 $101040.00 - $161700.00. Actual compensation is influenced by a variety of factors including but not limited to skills experience qualifications and geographic location.

Powered by SmartRecruiters - Candidate Privacy Policy

Remote Work :

No

Employment Type :

Full-time