Performs technical quantitative and predictive HR analytics including data extracts, data visualizations, process automation and data science to drive new
capabilities and insights to support management and organizational goals and strategy. Assesses the workforce needs against internal and external labor markets
to identify potential shortfalls and conducts scenario planning and analysis to identify the return and impact of specific HR initiatives. Leads the development and
execution of data environment and analytical capability roadmap. Work is performed independently with limited supervision.
Develops and implements statistical models and machine learning algorithms to predict employee outcomes
such as behavior, performance, and attrition and to understand the factors that impact the outcome of
interest with an understanding of the specific complexities working with people data entails. Performs in depth statistical analyses and predictive modeling related to employee demographics, performance,
engagement, and retention to identify trends and patterns.
Conducts scenario planning and analyses to identify the return and impact of specific HR initiatives and
provides critical information to HR and the broader organization to enable self-service insights and monitor
for changes in our workforce.
Partners with the HR technology team, IT, and various other stakeholders to design, test, and roll out AI forward data visualization tools and ensure our data environment meets the organization's needs leveraging
the best tools available. Proactively designs and enhances data models and visualizations for advanced
reporting and analysis that contribute to our mission of operational excellence.
Translates complex data into clear, concise, and actionable insights for HR and business leadership. Provides
regular insights, briefs and reports highlighting trends, drivers, and risk areas in workforce data.