Wei Chen

June 7, 2026

Dear Ms. Voss,

A single line in a checkout experiment is what convinced me analytics is worth doing well. At Brightline Commerce I changed how a fee was displayed, measured it across one of 80+ A/B tests I've designed there, and watched conversion lift 4.3% — roughly $1.9M in annual revenue from a clearer label. That is the kind of decision Meridian Marketplace makes hundreds of times a quarter, and it's exactly why I'm applying for your Senior Data Analyst, Growth opening.

For the last five years I've turned messy, multi-source data into decisions across SQL, Python, dbt, and BI. I built Brightline's self-serve revenue dashboard on a dbt + Snowflake model in Tableau, cutting ad-hoc requests to the data team by ~60%, and shipped a scikit-learn churn-propensity model at 0.82 ROC-AUC that fed a retention play recovering $640K in ARR. Earlier, at Northwind Health Tech, I migrated 25+ legacy reports into dbt + BigQuery, pulling refresh time from hours to under 8 minutes.

That trust comes from governance, not luck. Partnering with product and finance, I defined 30+ governed metrics in dbt that ended long-running disputes over conflicting numbers — the same discipline a marketplace needs when growth, supply, and finance each define "active user" differently. I pair that rigor with cohort and funnel work that has real teeth: an onboarding analysis at Northwind surfaced a single drop-off step whose fix improved 30-day activation by 11%.

I'd welcome the chance to talk through how rigorous experimentation and a governed metrics layer can accelerate Meridian's growth roadmap. My resume is enclosed, and I'm happy to walk through a dashboard, a test design, or any analysis in detail. Thank you for your consideration.