Barry Huang
Business Intelligence Analyst Ecommerce Analyst @Northern Reflections
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WORK HISTORY
Business Intelligence Analyst Ecommerce Analyst @Northern Reflections
Toronto, ON, CA
Performed in-depth data analysis to provide actionable insights, driving strategic decision-making across the department.• Developed interactive dashboards and reports using Power BI and Excel, enabling real-time monitoring of key metrics.• Built and maintained data models to ensure data accuracy and support complex business analyses.• Collaborated with merchandising and planning teams to align data solutions with business goals and improve performance tracking.• Monitored KPIs to assess business performance and provide data-driven recommendations for process improvements.• Collaborate with planning and merchandising teams to align data-driven solutions with corporate objectives.• Analyzed eCommerce KPIs and built dashboards to track performance and guide data-driven strategy.• Optimized site conversion rates through A/B testing and user journey analysis.• Evaluated marketing channel performance to optimize budget allocation and improve ROI.• Managed order flow processes to enhance operational efficiency and reduce fulfillment time.
EDUCATION
Beijing University of Chemical Technology
B. Eng., Mechanical Engineering (Plastic Machinery)
Conestoga College
Post-graduate Cerificate, Social Media Marketing
Humber College
Postgraduate, Supply Chain Management
Humber College
Postgraduate Certificate, Logistics, Materials, and Supply Chain Management
Conestoga College
Postgraduate Certificate, Business Analytics
Conestoga College
Business Analytics
SKILLS
ABOUT BARRY HUANG
I design scalable revenue analytics frameworks.My background combines SQL-based data modeling, KPI standardization, and automation-focused reporting design supporting 100+ retail locations.Recently, I architected a full subscription lifecycle revenue model simulating SaaS operations, including MRR, ARR, churn analysis, and Net Revenue Retention tracking.I focus on building structured data layers (raw → transformation → KPI logic) that reduce ad-hoc reporting and improve revenue visibility for decision-makers.
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