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Cube is seeking a data analyst for a hybrid role based in our Bangkok office, with remote arrangements for candidates in Indonesia. You will work with real-world datasets to uncover trends, support client reporting, and provide actionable insights in e-commerce.
This role suits fresh graduates or those with up to 2 years of experience who want to build a career in data. Proficiency in Python, Sheets, and Excel is essential.
This is a hybrid role based in our Bangkok office, with a remote arrangement for candidates based in Indonesia.
We are seeking a motivated and detail-oriented Data Analyst to join our growing team. This role is ideal for fresh graduates or candidates with up to 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.
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
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.