Summer Internship: AI & People Analytics Intern (Remote)

General Description:

The AI & People Analytics Intern will support the transformation of survey data into actionable, predictive insights that inform strategic talent decisions. This role combines statistical analysis, AI-enabled modeling, and executive-level storytelling to strengthen data-driven decision-making into 2030.

The intern will work on employee engagement, performance, retention, and organizational effectiveness datasets to develop predictive models and compelling business narratives. Support the 2030 HR Project.

Essential Functions of the Job:

• Analyze employee survey data (engagement, pulse, lifecycle, onboarding, exit) using statistical and AI-based methods
• Clean, structure, and validate datasets to ensure analytical integrity
• Build predictive models (e.g., attrition risk, engagement drivers, performance correlations)
• Conduct driver analyses and segmentation to identify actionable insights
• Translate quantitative findings into executive-ready dashboards and business narratives
• Support the development of data visualizations using tools such as Power BI, Tableau, or similar platforms
• Support automation of recurring reporting through AI tools and workflow optimization
• Present findings to HR and business stakeholders with clear, strategic recommendations

Supervisory Responsibilities:

N/A

Computer Skills:

• Exposure to AI/ML modeling frameworks
• Experience working with survey platforms (e.g., Qualtrics, Glint, CultureAmp)
• Strong proficiency in MS Products (e.g., Excel, Co-Pilot)
• Familiarity with data visualization tools (Power BI, Tableau, etc.)

Other Qualifications:

• Understanding of statistical concepts (regression, correlation, predictive modeling)
• Strong analytical and problem-solving skills
• Ability to translate complex data into clear business insights
• High attention to detail and data integrity