Senior Data Analyst - Search & Recommendation & Ads & Content

Shopee • Commerce • Bachelor's Degree • SQL • A/B Testing • 26 days ago

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Salary

≈ $55k – $103k per year (Estimated)

Location

In office (Singapore)

Seniority

Senior · 3+ years exp

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Sep 24, 2026. Shopee scores A on the Alion truth index.

Overview

Company

Impact

Profile match

Shopee

Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.

shopee.com • HQ: Singapore • Marketplaces • 1001-5000 employees • Est. 2015

Tech stack of Shopee

Design Indicators System: Define key metrics and build automated dashboards and analytical frameworks
Analyze Data Fluctuations: Monitor key metrics and conduct deep-dive analysis on specific issues to identify underlying drivers
Make Data-driven Decisions: Data-driven decision-making by identifying, structuring, and executing product and performance analyses
A/B Test Evaluation: Design A/B experiment evaluation strategy and indicator matrix to evaluate the effect of the experiments
Data Management: Provide recommendations for e-commerce, advertisement, content(video, live stream, etc) for data improvement, quality(accuracy), and efficiency of data
Analyze business and algorithm influence and give insights to the PM team & Algo team on how to improve features, models, etc.

Bachelor’s degree in Computer Science, Math, Economics, Statistics, or other quantitative fields
At least 3 years of work experience in data analysis/business analysis
Experience with common statistical methods and applications (A/B testing evaluation, time series analysis), familiarity with common data analysis methodologies
Experience using data access tools, building dashboards and analyses with large datasets and multiple data sources
Familiarity with web analytics tools and data visualisation (e.g. Google Data Studio/Lumos/Druid)
Experience working with very large data sets and distributed computing (SQL/Hive/Hadoop/MapReduce)
Self-motivated, detail-oriented, fast learner and highly organised
Experience in the e-commerce or video and live-streaming platforms is preferred

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