Data Analyst

CUBE; Jakarta Pusat; Hybrid; IDR 545,355,000 - 763,498,000; Full time

Job summary

CUBE is seeking a Data Analyst for a hybrid role based in Bangkok with remote options for candidates in Indonesia. The position targets fresh graduates or those with up to 2 years of experience who want to build a career in data and e-commerce.

You will work with real-world datasets to uncover trends, support client reporting, and deliver insights. Proficiency in Python, Excel, and Google Sheets is essential, with SQL and data warehouse familiarity a plus.

Qualifications

• Fresh graduates or candidates with up to 2 years of experience.
• Proficiency in Python, Google Sheets, and Excel is essential; SQL knowledge is a plus.
• Experience with data warehouse platforms such as Snowflake, Athena, or BigQuery is a plus.
• Bachelor's degree in a quantitative field preferred but not required.

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.

Skills

Python

SQL

Statistics basics

Analytical thinking

Communication

Education

Bachelor's degree in quantitative field

Tools

Google Sheets

Excel

Snowflake

BigQuery

Athena

Python

Job description

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.

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

• 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.