Predictive Analytics & Modeling:
Utilize Python or R to build predictive models that forecast pipeline health, candidate conversion, time-to-fill, and long-term candidate quality.
AI & Tool Evaluation:
Act as the analytical gatekeeper for our recruiting tech stack. Evaluate the ROI, efficacy, and potential bias of new AI tools and automated recruiting workflows.
Strategic Metric Definition:
Drive the analytics strategy for modern TA disciplines. Define and track complex metrics such as Quality of Hire (QoH), skills-based hiring efficacy, and internal talent mobility.
Analytics Engineering & Modeling:
Perform robust data modeling, transforming raw system data into structured models for visualization. Consult directly with data warehouse engineers to improve system integrations and data pipelines.
Data Visualization Strategy:
Lead our visualization and reporting ecosystem. Design intuitive dashboards from scratch and apply advanced design tactics across various BI tools, shifting stakeholders from looking at descriptive data (what happened) to prescriptive insights (what to do next).
Ad-Hoc Consulting:
Support complex, ad-hoc analytics requests from partners within TA and the broader People Organization.