Data Analyst

Posted 22 Days Ago
3 Locations
Remote
Junior
eCommerce • Retail
The Role
Work with real-world datasets to clean, transform, and analyze data using Python and spreadsheets; perform exploratory analysis, develop data models, support client reporting, and communicate insights to cross-functional teams to drive e-commerce decisions.
Summary Generated by Built In

We are seeking a motivated and detail-oriented Data Analyst to join our growing team. This role is ideal for candidates with at least 2 years of experience who are eager to build a career in data and e-commerce.
As a Data Analyst, you will work with real-world datasets to uncover trends, support client reporting, and contribute to meaningful insights in one of the fastest-growing sectors in Southeast Asia.
Responsibilities

  • Collaborate with cross-functional teams to gather and understand data and business requirements
  • Transform and clean data using Python (SQL is a plus)
  • 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 reports to communicate findings effectively

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; SQL knowledge is a plus
  • Experience with data warehouse platforms such as Snowflake, Amazon Athena, or Google BigQuery is a plus
  • Enthusiastic self-starter with a strong desire to learn and grow in the data field
  • Comfortable working in a fast-paced environment and adapting quickly to change
  • Passionate about e-commerce, with strong communication and collaboration skills
  • A Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics, etc.) is preferred but not required.

Skills Required

  • Minimum 2 years of experience
  • Proficiency in Python
  • Proficiency in Google Sheets
  • Proficiency in Excel
  • SQL knowledge
  • Experience with Snowflake, Amazon Athena, or Google BigQuery
  • Basic understanding of statistics and data interpretation
  • Enthusiastic self-starter
  • Comfortable working in a fast-paced environment and adapting quickly
  • Strong communication and collaboration skills
  • Passionate about e-commerce
  • Bachelor's degree in a quantitative field (preferred, not required)
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The Company
27 Employees
Year Founded: 2022

What We Do

We offer granular market data and insights for e-commerce in Southeast Asia, helping brands and retail companies drive profitable growth for their online businesses. Our Cube Subscription plans allow brands, retailers, consulting firms and investors to access the most accurate, granular and dynamic e-commerce intelligence in the market. Current clients include leading consumer brands, retailers and private equity firms. Cube Asia was previously known as Chalawan (chalawan.asia).

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