Wei Chen

Data Analyst / Analytics & Experimentation
[email protected]|(415) 555-0148|San Francisco, CA|linkedin.com/in/weichen-data|github.com/weichen-da
5+
Years in Analytics
40+
Dashboards Shipped
$3.2M
Revenue Influenced
120+
A/B Tests Analyzed

Summary

Data analyst with 5+ years turning messy, multi-source data into decisions that move revenue and retention. Fluent across the modern stack — SQL, Python, dbt, and BI tools — with a track record of building self-serve dashboards, designing rigorous A/B tests, and translating analysis into clear recommendations for product, growth, and finance stakeholders.

Skills & Tech

Languages
SQL, Python (pandas, NumPy, scikit-learn), R, Bash
BI & Viz
Tableau, Power BI, Looker, matplotlib, seaborn
Data & Warehouse
dbt, BigQuery, Snowflake, Airflow, PostgreSQL, Fivetran
Analytics
A/B testing, statistics & hypothesis testing, regression, cohort & funnel analysis, forecasting
Tools
Git, Jupyter, Amplitude, GA4, Excel, Jira

Experience

Senior Data Analyst Mar 2022 — Present
Brightline Commerce · San Francisco, CA
  • Designed and analyzed 80+ A/B tests on checkout and pricing; a single fee-display experiment lifted conversion 4.3%, adding an estimated $1.9M in annual revenue.
  • Built the company's self-serve revenue dashboard in Tableau on a dbt + Snowflake model, cutting ad-hoc reporting requests to the data team by ~60%.
  • Developed a Python churn-propensity model (scikit-learn) flagging at-risk accounts at 0.82 ROC-AUC, feeding a retention play that recovered $640K in ARR.
  • Partnered with product and finance leads to define 30+ governed metrics in dbt, ending long-running disputes over conflicting numbers.
Data Analyst Jul 2020 — Mar 2022
Northwind Health Tech · Oakland, CA
  • Migrated 25+ legacy SQL reports into a dbt + BigQuery warehouse, reducing dashboard refresh time from hours to under 8 minutes.
  • Ran cohort and funnel analyses on onboarding that exposed a drop-off step; the resulting fix improved 30-day activation by 11%.
  • Automated a weekly KPI deck in Python, saving the analytics team roughly 10 hours per week of manual prep.
Junior Data Analyst Jun 2019 — Jul 2020
Cedar Retail Group · Sacramento, CA
  • Wrote SQL to consolidate sales across 12 stores into one Power BI dashboard used in weekly leadership reviews.
  • Built a markdown-forecasting model in Excel and Python that trimmed end-of-season overstock by ~18%.

Education

University of California, Davis
B.S. in Statistics — minor in Computer Science · GPA 3.7
2015 — 2019

Certifications

Google Data Analytics Professional Certificate (2021) · Tableau Desktop Specialist (2022) · dbt Fundamentals (2023)