Data Analyst

Nuonan(Juana) Zhang

Waltham, MA 857-****-*** ************@*****.*** www.linkedin.com/in/juanazhang Data analyst with 5 years in China's tech industry focusing on product and strategy segments, skilled in SQL, Python, and data visualization tools. Proven track record of leveraging data analysis to drive business growth and process optimization. Currently pursuing a master’s in Business Analytics, seeking an internship to apply data-driven insights to enhance business processes. EDUCATION

Brandeis International Business School Waltham, MA Master of Science in Business Analytics (STEM-Designated) – GPA:3.81 08/2024 - 02/2026(expected) Maastricht University Maastricht, Netherlands

Master of Science in Work and Organizational Psychology 09/2015 - 08/2016 East China Normal University Shanghai, China

Bachelor of Education in Psychology (Special Education) 09/2011 - 07/2015 TECHNICAL SKILLS

Programming Languages: Advanced SQL, Python, R

Analytical & Statistical Skills: Data Cleaning, Data Mining, Data Engineering, Statistical Modeling, Time Series Analysis, Machine Learning (Supervised/Unsupervised Learning), AB Testing, Experimental Design Data Manipulation: Pandas, NumPy, SQL Optimization, MySQL, PostgreSQL Data Visualization: Tableau, Advanced Excel, Matplotlib, Seaborn PROFESSIONAL EXPERIENCE

Meituan (The biggest online food-delivery company in China) Shanghai, China Data Analyst - User Product Insight 05/2023 - 06/2024

● Analyzed user traffic funnel and implemented data quality frameworks, designing Tableau dashboards to automate product insights, enhancing real-time monitoring and strategic decision-making.

● Identified opportunities through user scenario analysis and developed new traffic entry points (e.g., map-based store search), driving an 8.5% increase in unique visitor traffic.

● Analyze user behavior from 85,000+ monthly active users, identify key drop-off issues through SQL and Python, and provided actionable insights for cross-functional stakeholders.

● Conducted targeted experiments in 9 cities, segmenting new and existing users with tailored incentives and engaging them proactively via in-app messaging, achieving a 122% increase in referral submissions.

● Scaled solutions (retention strategies and cyclical entry points) nationwide in collaboration with product and engineering teams. Validated through AB testing, boosting user participation by 19% and entry page conversion by 33% (0.6%- 0.8%). Alibaba Group Shanghai, China

Data Analyst - Strategy Focus 10/2021 - 05/2023

● Designed and implemented a monitoring system, leveraging ETL to integrate 15+ data sources, analyze key metrics, automate reporting, and enable real-time monitoring, reducing workloads by 40% and saving 120+ hours monthly.

● Analyzed regulations and forecasted demand for pandemic-related retail supplies using predictive models (Time Series Analysis), improving inventory accuracy by 15% in high-demand areas.

● Tagged user work and hometown locations to create data-driven promotions to stimulate consumption and retain user loyalty as users switch locations, achieved 101.6% of target and exceeded direct sales goal by 19.2%.

● Collaborated cross teams collaboration to execute the ‘Spring Festival Guarantee Campaign’, which won the Exemplary Project of the Year award.

Trip.com Group (Ranking 4th in global OTA market) Shanghai, China Data Analyst - Business Focus 08/2019 - 09/2021

● Extracted and analyzed data using Excel and SQL to identify business opportunities, effectively communicated insights to cross-functional teams, and collaborated on implementation strategies.

● Conducted systematic research on China's car rental market, identifying key issues such as 60-day deposit holds, and launched solution - the ‘Worry-Free Rental’ package.

● Adjusted package pricing to have tiers through supplier research, building the use cases, integrating their feedback into business actions, led to an increase in market share from 35% to 48%.

● Analyzed customer behavior data to inform promotion strategies across offline channels, including store ads and QR code ordering, boosting its share to 60.6%.

● Enhanced service quality by analyzing user feedback through multiple channels, reducing issues by 32% and increasing overall satisfaction by 12%.

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