Redwood City, California, United States
My name is Noel and I am currently a BI Data Specialist at Meta and an MBA graduate at Santa Clara University’s Leavey School of Business. Previously, I worked at Tempo, Credit Karma, and the Exploratorium Museum. I build aggregated marketing and go-to-market pipelines, lead projects for engineering initiatives, and hire and train analytics engineers. When I’m not at work, I teach myself technical skills such as Python and R. I am also an avid traveler who loves to cook and take photos wherever I go. Check out my resume to learn more about my professional background and my selected works page for work samples. Learn more at www.noel-mccann.com.
• Led development of Instagram GTM datasets via big data manipulation; grew Reels viewership by 20% • Optimized Facebook Gaming datasets for query speed and scalability; grew 7-day retention by 55% • Led documentation of architecture and best practices for over 200 datasets & pipelines used by analytics • Overhauled Instagram data warehouses for optimized storage and memory; reduced consumption by 30%.
• Spearheaded development of infrastructure that expedited decision-making for creator success metrics on Facebook Gaming • Drove 2.8M incremental watch hours & slashed cost per watch hour by 38% for gaming creators • Led and organized guides, decks, and workshops synthesizing best practices for testing and engineering
• Analyzed public datasets with Excel & used Piktochart to create infographics on SF restaurants.
• Created and managed multi-touch attribution models, driving increased referral sales by 30% and email by 15% • Automated weekly campaign reports, reducing reporting time by 4 hours • Led construction of 30 ETLs to map consumers’ journey to validate pricing and marketing performance • Created and managed product feature analyses, increasing 7-day retention by 25%. • Spearheaded dataset creation to help stakeholders optimize TV campaigns, increasing sales by 20%.
• Experimented with Facebook ad data for cross-functional partners, reducing ad spend by 40% • Worked with fintech data to develop A/B tests for Home, growing CTR by 40% • Implemented continuous improvements on SQL queries via communication and collaboration with Ops