Eric Olesen Email & Phone Number

Chicago, Illinois, Us

Los Angeles, Ca, Us

▪ HR Analytics/Real-world Application: Taught Master's students, fundamentals of HR Analytics; developed future Human Resource leaders to understand and confidently apply data in strategic decision making.▪ Course Redesign: Redesigned course content, including new workforce analytics and advanced statistical techniques to create predictive solutions for Human Capital challenges and productive people strategies.

Mclean, Va, Us

▪ Business Decision/Data Analytics: Built Analytics and Insights function for Fortune 500, $8 billion firm, from ground up; enabled Human Resources to drive business impact through data.▪ Analytics Maturity Model: Built seven-stage HR analytics maturity model with clear journey articulation, from data consistency to proactive insights.▪ Training and Development: Designed and facilitated HR Data Fundamentals training for 50 HR Business Partners in three days leading to elevated business problem-solving using data.▪ Value-based Leadership/Recognition: Recognized by high team engagement and 'leading with value' scores; achieved top 5% of leaders based on Team Engagement and Values-based Leadership for 10 straight years.▪ Strategic Planning: Designed five-year team strategy, aligning firm-wide strategy and priorities; resulted in clear strategic roadmap, project, and initiatives prioritization.▪ Talent Acquisition/Mentorship: Sourced, selected, and trained 20 team members, promoted 15, mentored all team members based on individual needs; maintained 90% retention.▪ Talent Acquisition/Insight Generation: Created predictive quality-of-hire model, identifying drivers of successful new hires; implemented in phone screen interviews.▪ Process Simulation/Interviewing: Created process simulation model for hiring funnel, demonstrating how staffing mix changes affect outcomes; identified interviewing bottlenecks; instituted interview team strategy reducing time-to-offer by 33% for Software Developers.▪ Predictive Modeling/Retention: Developed and validated predictive attritional model to determine talent turnover risk; armed managers with tools to identify crucial talent; initiated retention conversations; reduced firm-wide attrition among regrettable losses by 25%.▪ Innovation/Business Acumen: Designed and implemented best-practices retention program; improved retention of Software Engineers in Cyber market by 32%.

Washington, Dc, Us

Teaching Human Capital Analytics MPHR 725-01

Washington, D.C., Us

▪ Actionable Insights/Consulting: Contributed on client teams, designing actionable insights from data analysis in portfolio of $50+ million client engagements.▪ Validation Studies/Criterion: Conducted criterion-related validation studies of selection instruments; resulted in legally defensible selection tests and instruments.▪ Business Metrics/Process Improvement: Continually recommended innovative protocols for improving client employee engagement; improved business results by linking employee data to critical business metrics; applied best practices from higher-performing and engaged teams to less engaged teams.▪ Gallup World Poll/Survey Construction: Helped launch Gallup World Poll, first-ever 160+ country poll covering topics from Business and Economics to Health and Religion.▪ Best Seller Statistical Analysis: Conducted all statistical analysis for best seller: Who Speaks for Islam? What a Billion Muslims Really Think by John L. Esposito and Dalia Mogahed, published by Gallup Press (2008).▪ Forecasting/Predictive Models: Developed predictive time series models for leading clothing retailer, forecasting sales and traffic; client company forecasted performance within +/- 20%.▪ Innovation/Modeling: Developed models for microprocessor manufacturer, predicting server processor demand; models informed production rates for various product lines and helped determine future product release schedules.

Armonk, New York, Ny, Us

IBM SPSS, Inc.

Master Of Arts, I/O Psychology And Applied Statistics

Bachelor Of Science, Psychology And Business Administration