Data & Analytics Strategy Professional with Impact

Nuonan(Juana) Zhang

Seattle WA 857-***-**** ************@*****.*** www.linkedin.com/in/juanazhang SUMMARY

Data & Strategic Analytics Professional with 5+ years of experience driving business impact at platforms. Expert in Causal Inference and A/B Testing to isolate incremental lift and empower executive decisions through data storytelling. Skilled at building scalable self-service tools and bridging the gap between technical insights and business strategy through cross-functional mentorship. PROFESSIONAL EXPERIENCE

TikTok - Category Manager Intern (Business Analysis Track) Seattle, WA 10/2025 – 12/2025

● Delivered 40.8% GMV growth (vs. +15.9pp market) during Black Friday by implementing tiered operations on 18 SMB sellers.

● Increased seller engagement by 18.1% by leading weekly analyses of industry trends—covering top keywords, creators, and campaign data—to deliver insights that enhanced account managers’ outreach and shaped GTM strategy.

● Built a self-service performance tracking system with automated reporting for autonomous stakeholder monitoring.

● Conducted EDA of U.S. holiday sales data, comparing growth indices across top 10 Womenswear categories; leveraged Prophet model to project 2026 trends and uncover growth opportunities informing inventory and seller strategies. Actian Corporation - CX User Analytics Intern Round Rock, TX 06/2025 – 08/2025

● Reduced processing latency by 40% by engineering a high-volume Python & Redshift ETL pipeline integrating Pendo events and Salesforce data, optimizing queries with parallelized ingestion.

● Mapped 14K+ Data Explorer user journeys, identifying a 61.6% post-click drop-off and informing homepage experiments that increased activation by 14.7%.

● Performed cohort analysis to examine user behavior, defined behavioral metrics and segmented users into power, regular, and weak tiers; partnered with Customer Experience team to tailor engagement playbooks for 1500+ enterprise data users. Meituan - Data Analyst, Product Insights (Full-Time) Shanghai, China 05/2023 – 06/2024

● Identified a scenario gap with an opportunity size of 15K+ monthly store leads where map users couldn’t add stores when searches returned none. Partnered with Maps PM and engineers to add an in-map “Add Merchant” entry.

● Streamlined the onboarding funnel by redefining essential leads and reducing mandatory fields from 7 to 2 (Name + Location), resulting in a 16.3% reduction in task completion time and a 4.8% increase in E2E conversion.

● Designed, implemented, and analyzed an A/B test comparing incentive schemes (50 points/store vs. 120 points for two stores).

● Led full experiment cycle—hypothesis design, metric definition, implementation with Engineering, and post-launch analysis. The optimized incentive condition increased average merchant submissions by 33.3% with minimal additional cost, validating incentive bundling as a scalable growth lever.

Alibaba Group - Data Analyst, Strategy Focus (Full-Time) Shanghai, China 10/2021 – 05/2023

● Directed strategy for a $19M+ daily GMV market by delivering strategic insights in MBRs/QBRs, supporting high-priority seasonal campaigns and cross-business analytics to drive growth.

● Defined and tracked core KPIs by synthesizing granular insights to architect a GMV-centric monitoring system, automated a Tableau/SQL dashboard integrating 15+ datasets to enable real-time anomaly alerts and save 120+ manual hours/month.

● Validated a migration-targeted coupon strategy by applying Causal Inference (Uplift Modeling) to measure incremental ROI; isolated true lift from organic demand to increase net GMV by 6.8%.

● Coordinated cross-functional teams (product, ops, logistics, merchants) for the Spring Festival Guarantee Campaign, meeting 101.6% of sales target and winning Exemplary Project of the Year. Trip.com Group (Top-3 global OTA) - Business Analyst (Full-Time) Shanghai, China 08/2019 – 09/2021

● Defined business metrics (GMV, customer loss) to track channel performance and guide quarterly goals.

● Delivered data-driven insights in cross-functional reviews, influencing roadmap priorities and driving +13.0% GMV growth. RESEARCH EXPERIENCE

Chicago Education Advocacy Cooperative – Data Scientist Chicago, Illinois (Remote) 04/2025 – 08/2025

● Developed end-to-end Python ETL workflows (Pandas, NumPy, regex) to clean and standardize unstructured survey data, resolving demographic and scale inconsistencies and reducing manual processing time by 56%.

● Trained Random Forest model (scikit-learn) for data imputation (92.3% accuracy) and conducted ANOVA analysis revealing 24.8% higher stress among low-income caregivers, guiding $500K+ funding reallocation. EDUCATION

Brandeis University - M.S. Business Analytics Waltham, MA 08/2024 – 02/2026 Honors: GPA: 3.93/4.00, Academic Excellence Reward Maastricht University - M.S. Work and Organizational Psychology Maastricht, Netherlands 09/2015 – 08/2016 East China Normal University - B.E. Psychology Shanghai, China 09/2011 – 07/2015 TECHNICAL SKILLS

Programming Languages: Advanced SQL, Python (Pandas, NumPy), R Analytical & Statistical Skills: A/B Testing, Experimental Design, Causal Inference, Data Cleaning, Data Mining, Statistical Modeling, Time Series Analysis, Machine Learning (Supervised/Unsupervised) Data Visualization: Tableau, Advanced Excel (Pivot Table, Array Formulas), Matplotlib, Seaborn

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