JI CHEN / BUSINESS-FACING DATA ANALYST

Better decisions begin with better questions.

I turn complex product, customer, and marketing data into clear evidence, practical recommendations, and measurable business outcomes.

Explore selected work Connect on LinkedIn

GROWTH & MARKETING MONETIZATION EXPERIMENTATION BI

FROM QUESTION TO DECISION

01 / FRAMEWhat matters?

02 / INVESTIGATEWhat explains it?

03 / RECOMMENDWhat should change?

04 / MEASUREDid it work?

Business context + rigorous analysis + clear communication.

01 / SELECTED WORK CASE STUDIES

What I’ve worked on.

Business problems first. Methods and code are supporting evidence—not the headline.

CUSTOMER LIFECYCLE / EXPERIMENTATION01 / 04

Reactivation · JD.com

Who actually needs a discount to return?

Identify incremental reactivation rather than rewarding customers who would have returned anyway.

Read case outline

Analytical approach

Compare offer, message-only, and holdout groups
Explore response across coupon-sensitivity segments
Evaluate incremental uplift against campaign cost

Draft only. Any future datasets or charts will be clearly identified as synthetic reconstructions.

MARKETING / GROWTH02 / 04

Attribution · Tencent

Are we buying clicks or valuable customers?

Connect campaign measurement to downstream user engagement, not just advertising-platform activity.

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Analytical approach

Map campaign and creative identifiers
Analyze post-click funnel and user engagement
Compare acquisition efficiency and ROI

Draft only. Any future datasets or charts will be clearly identified as synthetic reconstructions.

PRICING / MONETIZATION03 / 04

Subscription · Baidu

What makes a user decide to subscribe?

Connect first-purchase triggers, renewal behaviour and product value to pricing decisions.

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Analytical approach

Analyze onboarding and purchase triggers
Measure subscription cohorts and retention
Develop transparent LTV and pricing scenarios

Draft only. Any future datasets or charts will be clearly identified as synthetic reconstructions.

BI / ANALYTICS SYSTEMS04 / 04

Reporting reliability · Baidu

Can business teams trust tomorrow’s numbers?

Make critical metrics available on time while controlling the costs of recurring analysis.

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Analytical approach

Prioritize business-critical reporting
Simplify SQL and scheduling dependencies
Monitor reliability and compute efficiency

Draft only. Any future datasets or charts will be clearly identified as synthetic reconstructions.

These are work-in-progress case outlines, not completed published analyses. No original employer slides, datasets, or proprietary materials are included.

02 / HOW I WORK DECISION-ORIENTED ANALYTICS

I connect the analysis to the decision.

A useful analysis needs more than an accurate number. It needs an explanation of what happened, why it matters, and what to do next.

Frame the question

Translate ambiguous business needs into metrics, hypotheses, and decision criteria.

Build trustworthy evidence

Connect SQL, experimentation, cohort analysis, and reporting to sound measurement.

Make action clear

Communicate tradeoffs and recommendations in terms stakeholders can actually use.

03 / ABOUT

Curiosity with business context.

I'm Ji Chen, a Vancouver-based analytics professional with experience across consumer technology, marketing growth, subscription products, and software engineering.

My background includes analytics roles at Baidu, Tencent, Meituan, and JD.com, alongside recent technical and growth analytics work in Canada.

This site explains selected approaches and decisions through independently reconstructed cases—not former employers’ proprietary work.

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