Talent Acquisition Data Engineering & Analytics Graduate Intern

Solidigm•Rancho Cordova, CA

5d•Remote

About The Position

We are seeking a graduate-level intern to join our Talent Acquisition (TA) team as a Talent Acquisition Data Engineering & Analytics Intern. This role is designed for a highly motivated individual who wants hands-on experience building and analyzing TA metrics that influence business decisions at a global scale. The intern will learn how to extract, transform, and visualize data from multiple HR and business systems while contributing to the foundation of our global TA reporting function. The Talent Acquisition Data Engineering & Analytics Intern will help build the foundation for Talent Acquisition reporting and analytics. This internship is designed for a technically strong graduate student interested in applying data engineering, analytics, and visualization techniques to real-world recruiting and workforce challenges. During the internship, the intern will analyze recruiting workflows, explore recruiting datasets, and develop prototype dashboards that support recruiting operations and leadership decision-making. The intern will work directly with Talent Acquisition leadership and will have the opportunity to influence how recruiting performance is measured and reported across the organization. In addition, the intern will collaborate with teams responsible for systems such as SmartRecruiters, Workday, Jira, and ServiceNow to understand how recruiting data is generated and how it can be structured for reporting and analytics. This internship focuses on data exploration, metrics development, and dashboard prototyping, rather than operational recruiting activities.

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
Applicants must be authorized to work in the United States without the need for current or future visa sponsorship.

Nice To Haves

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

Responsibilities

Recruiting Data Discovery 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
Talent Acquisition Metrics Framework 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
Data Modeling & Data Preparation 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
Dashboard Development Develop prototype recruiting dashboards using Power BI
Create visualizations that support recruiting operations and leadership reporting
Translate business questions into measurable analytics metrics
Documentation & Analytics Framework 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.