Scott Coblyn
Director Business Analytics @Rue Gilt Groupe
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WORK HISTORY
Director Business Analytics @Rue Gilt Groupe
Boston, MA, US
EDUCATION
Questrom School of Business, Boston University
Master of Science (M.S.), Mathematical Finance
Union College
Bachelor of Science (B.S.), Mathematics
SKILLS
ABOUT SCOTT COBLYN
Experienced Analytics Leader | Data-driven Innovator | Strategic Problem SolverPassionate about decoding the story behind the numbers, I\'m an experienced Analytics Leader with a track record of driving business success through advanced data analytics and visualization techniques. With a career spanning nearly a decade at Wayfair, one of the world\'s largest home retailers, I\'ve honed my skills in dissecting complex datasets to uncover actionable insights and drive strategic decision-making at the highest levels.I am driven by a relentless pursuit of excellence and a commitment to ongoing learning and knowledge dissemination. Recognized organization-wide as the go-to expert on data accessibility and practicality, I thrive in dynamic environments where I can make a tangible impact through data-driven decision-making.Key Skills & ExpertiseAdvanced Data Analytics & Visualization: Proficient in leveraging tools like Tableau, Looker, and Excel to transform raw data into compelling visual narratives that drive understanding and action.Innovative Problem Solver: Known for my ability to tackle complex, abstract challenges head-on, I thrive in environments where I can apply creative problem-solving techniques to drive impactful results.Leadership & Collaboration: As a seasoned leader, I excel in guiding cross-functional teams to analyze comprehensive business metrics and deliver actionable insights to executive leadership. I led a team of technical analysts in providing weekly briefings to executive leadership, consolidating data from various sources to craft an end-to-end narrative of the business and drive expectations for future sales.Notable AchievementsInnovative Analytical Models: Spearheaded the implementation of advanced analytical methodologies, including RFM models for customer loyalty scoring, machine learning algorithms for on-site feature prioritization, and regression models for predicting customer repeat purchase behavior.Profit Protection: Developed anomaly detection systems in Python to identify pricing or promotion errors in real-time, mitigating millions of dollars in potential lost profit.Accelerated Reporting Timelines: Streamlined data consolidation processes, enabling the team to comment on prior week\'s business performance two days earlier, facilitating faster decision-making.Let\'s connect to explore opportunities for collaboration and mutual growth! Contact me at s••••••••@gmail.com.
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