Data Analyst (Mid-Level)

About the Role

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. The role is ideal for candidates with 2 to 4 years of relevant experience who are ready to take ownership and operate with a high degree of autonomy. You will proactively uncover trends, deliver actionable insights, and help leading brands across Southeast Asia make smarter decisions in the e-commerce sector.

Responsibilities

• Transform and clean large, complex datasets 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

Qualifications

• 2–4 years of relevant experience (Mid-Level)
• 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
• 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
• Proactive, curious, and tenacious, comfortable navigating a fast-paced, ambiguous environment with high independence
• Strong communication skills and the ability to convey technical concepts clearly to non-technical stakeholders; client-facing experience is a plus
• A Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) is preferred but not required

Skills

• Python, SQL, data visualization (Tableau / Power BI), data warehouse querying (Snowflake / BigQuery), Google Sheets, Excel

Additional Information

• Work arrangement: Hybrid (Bangkok) with remote option for candidates based in Vietnam