Department Manager - Data Science

Responsibilities:

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creations: Create data analytic model including both deterministic and machine learning model
• AI vendors coordination's: Collaborate with external AI suppliers to align project objectives with technological capabilities
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication understanding of project requirements
• Data analytics and AI Strategy Design; Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights
• Decision making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning

Qualification:

• Bachelors Degree or higher in Computer Science, Engineering, Information Technology, Management Information System
• Strong business acumen, with a deep understanding of retail and wholesale business
• At least 5 years of proven experience as a data analytic role (Retail or E-Commerce Business is preferable)
• Hands-on Experience in SQL, data cloud platform (e.g. Databricks, Snowflake, GCP, or AWS) and high proficiency in excel
• Good knowledge of Statistics
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualization (Tableau, Power BI) is a plus
• Excellent communication skills with a ability to convey complex findings to non-technical stakeholders
• Fluent in Thai and English
• Having good attitude toward team working & willing to work hard