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Cube Asia

E-commerce market intelligence and analytics provider

Data Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Strong analytical and problem-solving skills, with a basic understanding of statistics and data interpretation.
  • Proficiency in Python, Google Sheets, and Excel is essential.
  • A Bachelor's degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or Economics, is preferred but not required.

Responsibilities

  • Collaborate with cross-functional teams to gather and understand data and business requirements.
  • Transform and clean data using Python.
  • Perform exploratory data analysis to identify trends, patterns, and anomalies.
  • Assist in developing and implementing data models and algorithms.
  • Analyze and interpret complex datasets to surface key metrics and statistical insights, and prepare reports to communicate findings effectively.

Desired Qualifications

  • Knowledge of SQL.
  • Experience with data warehouse platforms such as Snowflake, Amazon Athena, or Google BigQuery.

About the Company

Cube Asia

E-commerce market intelligence and analytics provider

Cube Asia provides market intelligence for Southeast Asia e-commerce, delivering granular data on platforms like Shopee, Lazada, TikTok Shop, and Tokopedia to brands, investment funds, and consultancies. It processes millions of data points using statistical methods and machine learning to estimate competitor sales, track category shares, and offer insights for listing optimization and pricing. Its proprietary MeterCube platform presents this complex data in user-friendly dashboards and reports, and its services are offered through both recurring subscriptions and custom one-off projects. With a SEA-focused data lens and a mix of ongoing and project-based engagements, Cube Asia aims to help clients grow in the regional online retail market by providing actionable, data-driven market intelligence.

Company size
51-200
Company stage
Series A
Total funding
$5.2M
Headquarters
Singapore
Founded
2022

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