Talent Acquisition Data Engineering & Analytics Graduate Intern

Solidigm is a multibillion-dollar global company in the memory industry, headquartered in Rancho Cordova, California. They are seeking a graduate-level intern for their Talent Acquisition team to build and analyze metrics that influence business decisions, focusing on data engineering, analytics, and visualization techniques related to recruiting workflows.

Responsibilities:

• Analyze the end-to-end recruiting workflow and identify where data is captured across systems
• Study the SmartRecruiters data structure and understand key recruiting entities
• Identify key data sources across the recruiting ecosystem including ATS, HRIS, and operational tools
• Help define key recruiting metrics and analytics used to measure hiring performance
• Document standardized definitions for recruiting metrics such as time-to-fill, funnel conversion rates, and offer acceptance
• Develop a Talent Acquisition data dictionary
• Develop a conceptual data model that supports recruiting analytics
• Use SQL or Python to explore and analyze recruiting datasets
• Prepare structured datasets that can support dashboard reporting
• Develop prototype recruiting dashboards using Power BI
• Create visualizations that support recruiting operations and leadership reporting
• Translate business questions into measurable analytics metrics
• Document the recruiting data ecosystem and data flows across systems
• Produce implementation-ready documentation including: data model diagrams, dashboard specifications, recommended data architecture approach
• Learn and practice data visualization and storytelling by preparing dashboards and reports for TA and HR leadership

Requirements:

• Currently pursuing a Graduate degree in Data Analytics, Data Science, Data Engineering, Computer Science
• Experience and proficiency with SQL, Python, R, or similar tools for data extraction and transformation
• Proficient building data visualizations with Power BI
• Familiarity with ETL/ETL pipelines
• Data modeling and dataset design
• Passion for HR and Talent Acquisition analytics, and how data informs business strategy
• Familiarity with AI / Machine Learning techniques
• Experience working with APIs or data integrations
• Experience working with large datasets, APIs, or cloud-based data environments (Azure, AWS, or GCP)
• Interest in workforce analytics, business operations analytics, or HR technology