A Beijing-headquartered Chinese internet company
(1,000–4,999 employees) is aggressively expanding its international
e-commerce operations across Europe and Latin America. Already a
dominant force in domestic markets, the company is now building the
data infrastructure that will power its integral growth — and it
needs exceptional analytical talent to make that happen. This is
one of the most consequential expansions happening in global
e-commerce right now. The Role You will be embedded in a local
market team — London, São Paulo, or Mexico City — as a senior
individual contributor on the international data analytics team.
Your work will sit at the intersection of business strategy and
data engineering: you will not just report numbers, you will define
what numbers matter and why. From designing KPI frameworks to
tracking merchant ecosystems, from cold-start growth analytics to
content community performance, you will be the analytical backbone
of a market that is scaling fast and needs rigorous intelligence to
guide every decision.



This role is conducted entirely in Chinese
and English . Both languages are working languages. Candidates who
are not fluent in both will not be considered. What You Will Do
Data Framework and KPI Design Translate complex e-commerce business
logic into structured, actionable KPI systems and analytical
frameworks Design and maintain end-to-end data pipelines that track
platform health across merchant, product, and content dimensions
Build and own dashboards using at least one professional
visualization tool (Tableau, Power BI, Superset, or equivalent)
Business Monitoring and Insight Generation Monitor ongoing business
performance across your assigned market, surfacing anomalies and
opportunities in real time Produce regular analytical reports for
local and HQ leadership, combining quantitative rigor with clear
business narrative Support cold-start and growth strategy
initiatives with data-driven recommendations and tracking
mechanisms Ecosys

📌 International E-Commerce Data Analyst (Ciudad de México)
🏢 WhyHireWrong?
📍 Ciudad de México