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

Requirements

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

Benefits

Medical
Dental
Vision
401(k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical methodsAI-based methodspredictive modelingdata cleaningdata validationdriver analysissegmentationdata visualizationdata analysisstatistical concepts

Soft Skills

analytical skillsproblem-solving skillsattention to detailcommunication skillsstrategic thinking