Experience

SoleStage

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Merchandise Manager

  • Nov 2020 - Present



Sepulveda Partners

• United States
• Advertising Services
• 1 - 100 Employee

• Data Analyst

  • Jun 2019 - Sep 2019

  ● Focused on data-driven media buying strategies for a non-profit organization named Make-A-Wish on TV spots.● Collected and validated 150K data against quality standards to eliminate irrelevant or unusable information.● Performed random tree and linear regression to seek business insight and credited in information accuracy.● Conducted related testing and predictive analysis to adjust the marketing strategy and budgets.● Optimized quality of data by continuously improving data collection and automated upload strategies.● Synthesized business intelligence data to produce reports and polished presentations, highlighting findings and recommending changes.



Beijing Culture

• China

• Business Analyst

  • Jun 2017 - Aug 2017

  Collected and analyzed sales data covered 40 cities in Northern China, and corresponded to Wanda, Baoli, and Dadi cinemas, to obtain sales information and key data informing responses to audience requests.Improved business direction by prioritizing audiences and implementing changes based on collected feedback.Forecasted marketing trends based on previous data to adjust campaigns and maximize sales.



Idolidea

• United States
• Medical Practices

• Marketing Research Analyst Intern

  • Jul 2015 - May 2017

  Focused on healthcare and consumer goods clients, coordinated with JD.com for customer behavior analysis.Developed campaigns and specific marketing strategies for clients, while mentoring and guiding team members during business development to optimize profitability, and communications planning.Studied demographic data to determine optimal targets, competitor offerings and tactics for persuasion.Collected customers data using various research methods to broaden results and optimize marketing strategies.Exceeded sales goals 3.2% by effectively applying analyzed data to marketing campaigns and sharing data interdepartmentally.