Data Analyst - Shopee (2026 Fresh Graduates)

Shopee; Singapore; On-site; SGD 40,000 - 70,000; Full time

Job summary

A leading e-commerce company is seeking a Data Analyst to leverage data for strategic decisions and optimize product performance. The role encompasses building data metrics, monitoring anomalies, and analyzing trends to drive business insights. Candidates should have a Bachelor's degree in relevant fields and strong skills in statistical methods, data visualization, and experience with large datasets.

Qualifications

• Bachelor's degree or above in a relevant field, expected to graduate in 2026.
• Solid grasp of statistical methods and analytical techniques.
• Experience using data access tools and building dashboards.

Responsibilities

• Build an e-commerce product metric system and monitor data anomalies.
• Provide professional data support for business product decisions.
• Explore and analyze data for business opportunities.

Skills

Statistical methods

Data analysis methodologies

Dashboard building

Data visualization

Education

Bachelor's degree in Business Analytics, Statistics, Computer Science, Engineering or related field

Tools

Google Data Studio

Lumos

Druid

Job description

About The Team

The Data Analyst Team is dedicated to leveraging data to drive strategic decisions and optimize product performance. The team focuses on analyzing product effectiveness and metrics to provide actionable insights. They collaborate closely with product managers and engineering teams to ensure data-driven strategies enhance user experience and business outcomes.

Job Description

• Build an e-commerce product metric system, monitor data anomalies, and promptly identify product business risks
• Provide professional data support for corresponding business product decisions in e-commerce scenarios
• Explore and analyze data to uncover business opportunities or product improvement directions, and produce well-organized, rigorously argued analysis reports
• Actively promote various relevant departments to improve data collection and ensure the implementation of analysis recommendations
  
  

Requirements

• Bachelor's degree or above in Business Analytics, Statistics, Computer Science and Mathematics, Engineering or a related science/tech field, expected to graduate in 2026
• A solid grasp of 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)