Strategic People Analytics: Solving Top Talent Retention Post-2023 Restructuring
Following Meta’s "Year of Efficiency" and subsequent layoffs, VP of HR Janelle Gale faced a critical risk: top talent attrition. I was tasked with identifying the drivers of engagement across functions and developing a data-backed roadmap to retain high-performers during organizational shifts.
- Statistical Analysis: Processed workforce data using SPSS and Advanced Excel to identify statistically significant correlations between role function and turnover risk.
- Segmentation & Modeling: Utilized Pivot Tables and cross-tabulation to isolate "at-risk" high-performers within specific departments.
- Data Storytelling: Translated complex statistical outputs into a high-level executive narrative focused on ROI and strategic retention.
- Retention Modeling: Developed a framework for identifying "Flight Risk" indicators based on historical engagement scores.
- Actionable Recommendations: Presented a 3-tier strategy to the VP of HR, focusing on lateral mobility and personalized engagement initiatives.
- Leadership Influence: Delivered a professional briefing deck designed for C-suite decision-making, emphasizing human-centric data interpretation.
| Asset | Description |
|---|---|
| 📄 Executive Case Study (PDF) | Full statistical breakdown, SPSS outputs, and methodology |
| 📈 Leadership Presentation (PDF) | The high-impact deck presented to Meta HR Leadership |