Yayu Zeng

• Collect and analyze sales and customer data from previous years, synthesize competitor research insights to forecast prospective sales volume and growth trends; achieve 98% forecast accuracy
• Analyze key product attributes including development efforts and level of complexity; integrate market benchmark data and develop tailored pricing strategy; successfully grew annual revenue by 50%
• Conduct in-depth market research, assess customer demand and trends in the education sector; identify potential product development opportunities
• Design and distribute experience survey to 5000+ students; gather and analyze students’ feedback data for 100+ classes; produce insightful output to drive curriculum optimization and teaching staff’s performance evaluation
• Devise interactive marketing campaigns to strengthen customer engagement; spearhead a case competition and manage the concept-to-execution event journey from ideation to speaker outreach and logistics coordination
• Compile and sort daily course data and information for 150+ classes and 100+ mentors; liaise with various teams including sales, marketing and operations to ensure seamless cross-functional collaboration
• Compile data analysis reports based on various aspects of data, including customer conversion rate, tutor performance indicators, customer repurchase rate and other data, communicate and coordinate with various departments to improve product quality and sales

Manage 10+ assistant academic tutors, supervise course quality and successfully transform assistants into tutors with a success rate of 98%.

Design and modify the working methods of assistant academic tutors, improve work processes, and 100% successfully modify the salary calculation method of assistant academic tutors

Track data across departments and facilitate data transfer and communication, including the product team, sales team, and marketing team

Obtained 1000+ new student leads in 4 months through online marketing activities.

Research and explore market data and competition, advise executive as needed

• Extracted and cleaned ticket price and passenger traffic data from the previous 8 months using SQL queries; analyzed the correlation between price and sales; derived insights on customer purchasing behavior and preference
• Performed market research focusing on industry outlook and competitor pricing; leveraged analytical insights to devise tailored pricing and discount strategies; visualized data outputs and built presentation decks
• Presented analytical outputs to managers and various teams including sales and marketing to support strategic decision-making and efficient operations
• Developed VBA Macros to automate data sorting and modification workflow; reduced data processing time by 10%