# Data Analyst

**Company:** [Cube](http://jobs.workable.com/companies/3Asfq6ppqq95MKASdPS5aH.md)
**Location:** Da Nang, Vietnam
**Workplace:** hybrid
**Employment type:** Full-time
**Department:** Data, Product & Technology

[Apply for this job](http://jobs.workable.com/view/18d42398-d3a4-4e47-92c3-73403f3f06d1)

## Description

**This is a hybrid role based in our Bangkok office, with a remote arrangement for candidates based in Vietnam.**

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

## 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.