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

Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Industrial/Organizational Psychology, HR Analytics, Business Analytics, or related field
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.)
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

AI & People Analytics Intern

Key skills