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Department Manager - Data Science

Head Office
Information & Communication Technology

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.

Qualifications

  • 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.

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