Peter Whaley
Manager, eCommerce & Loyalty Analytics – Decision Science @ Domino's
United States
Greater Lansing
Information Technology & Services
Microsoft Office, PowerPoint, Word, Microsoft Excel, Time Management, Customer Service, Access, Event Planning, Teamwork, Public Speaking, Social Media, SPSS, Statistics, Data Analysis, Management, Microsoft Word, Leadership, Microsoft PowerPoint
Experience

Manager, eCommerce & Loyalty Analytics – Decision Science
Ann Arbor, MI
I lead both the eCommerce and Loyalty Analytics function within the Decision Science organization, partnering with Marketing, Reaseaech Scinece, Digital Expienece Product Owners, IT, and cross-functional leaders to shape customer experiences through data-driven insights. I focus on building and empowering a high-performing team of Data Scientists who deliver the analytics and experimentation that guide strategic business decisions. How We Drive Impact eCommerce Analytics: Translate digital customer behaviors into actionable insights to optimize the online ordering and post-order journey. Guided analytics strategy for a multi-year eCommerce platform redesign, ensuring every decision was grounded in customer data. Oversee all digital experimentation (A/B testing) to measure KPI impact and unlock business growth opportunities. Loyalty Analytics: Lead analytics for the Loyalty program, driving understanding of program health and customer engagement. Inform strategic direction by analyzing rewards pricing, promotional effectiveness, and member value. Activate and measure new perks, deals, and program enhancements to maximize customer loyalty and excitement. Team Leadership: Develop and mentor Data Scientists to deliver high-quality, impactful analytics. I emphasize empowerment, collaboration, and innovation—ensuring each team member is equipped to succeed while aligning their growth with the company’s evolving needs. Impact: By combining advanced analytics with strong team leadership, we transform customer data into a story that drives smarter decisions, fuels digital innovation, and strengthens customer loyalty.

Senior Data Scientist – Data Science A/B Testing
Ann Arbor, Michigan, United States
Evolve Domino's understanding of our ordering platforms, purchase funnels, friction points, and optimization opportunities. In addition to analyzing and providing thoughtful recommendations for A/B tests, proactively identify the impact potential for future experience ideas by working closely with our Marketing and IT partners to help prioritize the testing roadmap. Develop, implement, and evaluate more tailored recommendations for high-value customer segments.

Senior Actuarial Technician
Lansing, MI
* Promoted twice to senior level actuarial technician * Adjusted algorithms using actuarial models to achieve profitable and competitive rates * Project lead on many large, interdepartmental projects * A high-level understanding of numerical analysis and the ability to interpret for business needs * Experienced in explaining complicated material in an understandable fashion to executive management * Involved with recruitment activities including trips to Texas, Olivet College, Michigan State University, Central Michigan University, and serving as representative of the company to visitors * Advanced Microsoft Excel knowledge, including mathematical and logic functions, pivot tables, and macros * Familiar with SQL, Access, and Microsoft Office products

The Gallery
Snyder Phillips Hall
* Promoted three times to highest supervisory position--Level IV Student Supervisor * Managed a staff of 350-380 employees * Supervised shifts of up to 50 employees at a time * Served as the main communicator between management and employees * Responsible for hiring, terminations, shift management, and scheduling processes * Presented to groups of up to 80 weekly on orientations, procedures, and demonstrations * Organized week long staff training sessions at the beginning of each school year * Reviewed promotion decisions using my log books and attendance records * Chair of Student Supervisor meetings 3-4 times per semester with ~35 supervisors * Independently created and worked on projects to improve the workplace: * Revamped several policies including termination, substitution, and uniform return * Revamped Excel scheduling methods to increase efficiency
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