Senior People Analytics Engineer — AI-Driven Insights

Solidigm Inc.; California; Hybrid; USD 101.000 - 162.000; Vollzeit

Benefits dieser Stelle

RSU program

401(k) match

Medical, dental, vision

Zusammenfassung

Solidigm seeks a Senior People Analytics Engineer to advance workforce analytics capabilities by designing scalable solutions that transform data into actionable insights. You will bridge HR, IT, and data teams to deliver predictive analytics, forecasting, and AI-enabled insights while guiding senior stakeholders with compelling data stories.

You will lead analytics projects, mentor team members, and partner with global teams to ensure data quality, governance, and impactful workforce

Qualifikationen

• Bachelor’s degree in Data Analytics, Data Science, Information Systems, Computer Science, Human Resources, Business, Economics, Statistics, or a related field.
• 7+ years of progressive experience in People Analytics, HR analytics, BI, data analytics, or related field.

Aufgaben

• Lead complex, cross-system workforce analyses using statistical methods, forecasting, and scenario modeling.
• Develop data stories, dashboards, and executive presentations to communicate insights to HR and business leaders.
• Design, build, and maintain scalable workforce datasets and analytical data models across Workday and enterprise data platforms.
• Collaborate with HRIS, IT, and data teams to validate data and support analytical solutions.

Kenntnisse

SQL

Power BI

Data storytelling

Statistical analysis

Forecasting

Data modeling

Python

R

Ausbildung

Bachelor’s degree in a related field

Tools

Workday Prism Analytics

Workday Data Cloud

Jobbeschreibung

Solidigm seeks a Senior People Analytics Engineer to advance workforce analytics capabilities by designing scalable solutions that transform data into actionable insights. You will bridge HR, IT, and data teams to deliver predictive analytics, forecasting, and AI-enabled insights while guiding senior stakeholders with compelling data stories.

You will lead analytics projects, mentor team members, and partner with global teams to ensure data quality, governance, and impactful workforce