Remote Growth Analytics Analyst

Blockchain Academics; Hong Kong; À distance; HKD 500 000 - 900 000; Plein temps

Avantages offerts par ce poste

Remote-first

Work-from-home arrangement

Competitive salary

Company benefits

Résumé du poste

Binance is seeking an analytics-focused professional in Hong Kong to support growth and marketing initiatives. You will pull, validate, and structure data across the conversion funnel, measure campaign performance, and translate results into actionable recommendations for marketing and operations teams, while building dashboards and automating data pulls.

The role requires strong SQL skills, experience with large-scale datasets, and familiarity with data visualization tools.

Qualifications

• Degree in a quantitative discipline such as Statistics, CS, Engineering, or Economics.
• 1–3 years in Analytics; campaign/growth/marketing analytics is a plus.
• Strong SQL skills; ability to write and debug complex queries on large datasets.
• Familiarity with Python or R is a plus.

Responsabilités

• Support growth and marketing campaigns end to end with data structuring.
• Measure campaign performance and translate results into actionable insights.
• Build and maintain campaign dashboards and automate data pulls.
• Analyze large-scale user behavior data and run cohort analyses for optimization.
• Translate findings into clear visuals and narratives for executives.

Connaissances

SQL

Data analysis

Growth analytics

Campaign analytics

Formation

Degree in a quantitative discipline

Outils

DataWind

Claude Code

Python

R

Description du poste

Binance is seeking an analytics-focused professional in Hong Kong to support growth and marketing initiatives. You will pull, validate, and structure data across the conversion funnel, measure campaign performance, and translate results into actionable recommendations for marketing and operations teams, while building dashboards and automating data pulls.

The role requires strong SQL skills, experience with large-scale datasets, and familiarity with data visualization tools.