Data Analyst
Cube
| Company | Cube |
| Category | Data & Analytics |
| Location | South Korea |
| Remote | Remote |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 17 Jun 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (workable) |
Description
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.
You found the opening. Now track it.Tracker, radar and AI drafts in one place.erioun.com →