Data Analyst
At a glance
Mid-level Data Analysis & BI role at Cube. Bangkok · full-time.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Clarify data and business needs with teams across the organization before starting analysis
- Use Python to clean and reshape datasets, then explore them for trends, patterns and unusual results
- Help build data models and algorithms, and analyze datasets to surface metrics and statistical findings
- Prepare reports that explain your findings clearly
What you bring
- You’re proficient with Python, Google Sheets and Excel; SQL is an added advantage
- You bring strong analytical and problem-solving ability, with basic grounding in statistics and interpreting data
- A quantitative bachelor’s degree is helpful, but you can apply without one
Who this fits
This role suits a recent graduate or someone with up to two years of experience who wants to develop in data analysis and e-commerce. You’ll work from the Bangkok office in a hybrid arrangement, or remotely if based in Indonesia.
From the employer
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
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.
Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Analysis & BI
Find me workBy the team behind dataroles.