Senior People Analytics Engineer-Hybrid AI-Driven Insights

Solidigm Inc.

Rancho Cordova (CA)

On-site

USD 101,000 - 162,000

Full time

7 days ago
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Benefits offered by this job

RSU program
401(k) matching

Job summary

Solidigm Inc. is seeking a Senior People Analytics Engineer to advance workforce analytics, turning complex data into actionable insights for HR and leadership. You will bridge HRIS, IT, and enterprise data teams to build scalable models and predictive capabilities.

You will design data-driven solutions, partner with stakeholders, and lead initiatives to evolve workforce intelligence with advanced analytics and AI-enabled insights.

Qualifications

  • Bachelor’s degree in a related field.
  • 7+ years of progressive experience in People Analytics or BI.
  • Strong knowledge of Workday HCM data structures and workforce metrics.
  • Strong SQL, data transformation, analytical data modeling, and cross-system datasets.
  • Advanced Power BI experience with DAX, Power Query, and semantic models.
  • Experience with Workday Prism Analytics or Workday Data Cloud or similar platforms.

Responsibilities

  • Lead complex, cross-system workforce analyses using statistical methods and forecasting.
  • Develop dashboards and executive presentations to communicate insights.
  • Design and maintain scalable analytics datasets and semantic models.
  • Integrate HR, Finance, and business data to support workforce analytics.
  • Create and optimize BI solutions and self-service analytics for leadership.
  • Ensure data quality, governance, and collaboration with HRIS/IT.

Skills

SQL
Power BI
Data modeling
Data storytelling
Forecasting
Python
R

Education

Bachelor’s degree
Equivalent combinations of education and experience

Tools

Workday Prism Analytics
Workday Data Cloud
Snowflake
Databricks

Job description

Solidigm Inc. is seeking a Senior People Analytics Engineer to advance workforce analytics, turning complex data into actionable insights for HR and leadership. You will bridge HRIS, IT, and enterprise data teams to build scalable models and predictive capabilities.

You will design data-driven solutions, partner with stakeholders, and lead initiatives to evolve workforce intelligence with advanced analytics and AI-enabled insights.

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