Data Analyst (Mid-Level) at Cube

Hà Nội, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

0.0

Posted On

28 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Cleaning, Analytical Models, Algorithms, E-commerce Data, Data Visualization, Tableau, Power BI, Snowflake, Amazon Athena, Google BigQuery, Statistics, Problem-Solving, Communication, Client-Facing

Industry

technology;Information and Internet

Description

This is a hybrid role based in our Bangkok office, with a remote arrangement for candidates based in Vietnam. We are seeking an experienced and self-driven Data Analyst (Mid-Level) to join our growing team. This role is ideal for candidates with at least 2 to 4 years of relevant experience who are ready to take ownership of their work and operate with a high degree of autonomy. As a Data Analyst (Mid-Level), you will go beyond routine reporting - proactively uncovering trends, delivering actionable insights, and helping leading brands across Southeast Asia make smarter decisions in one of the fastest-growing sectors in the region. Responsibilities: Transform, and clean a large complex dataset using Python and SQL Develop and implement advanced analytical models and algorithms to uncover trends, patterns, and opportunities in e-commerce data Collaborate with cross-functional teams to understand client objectives, define analytical requirements, and deliver customized solutions Communicate findings and recommendations effectively through clear visualizations, statistical results, and reports Continuously enhance analytical methodologies and processes to improve efficiency and effectiveness Stay updated with industry trends and best practices in data analysis and e-commerce Exceptional analytical and problem-solving skills with a solid foundation in statistics and the ability to independently draw conclusions from complex datasets Proficiency in Python, SQL, Google Sheets, and Excel is essential; experience with data visualization tools (e.g., Tableau, Power BI) is a plus Proficiency in data warehouse platforms (e.g., Snowflake, Amazon Athena, Google BigQuery) for complex querying, analytics, and pipeline scheduling is essential Proactive, curious, and highly tenacious, with a strong drive to grow and stay ahead of industry trends Comfortable navigating a fast-paced, ambiguous environment with a high degree of independence Passionate about e-commerce, with strong communication skills and the ability to convey technical concepts clearly to non-technical stakeholders; experience with client-facing communication is a plus A Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics, etc.) is preferred but not required.

Responsibilities

The Data Analyst will transform and clean complex datasets using Python and SQL, developing advanced analytical models to uncover trends and opportunities within e-commerce data. They will collaborate with cross-functional teams to deliver customized analytical solutions and communicate findings through clear reports and visualizations.