Data Analyst

Job Purpose:

As a Data Analyst, you will analyze procurement, sales, product, and inventory data to identify trends and opportunities, provide actionable insights, and support the Procurement Department in achieving business objectives.

Responsibilities:

• Collect, organize, validate, and maintain Master Data from various sources, ensuring data accuracy, consistency, and completeness.
• Perform data cleansing, transformation, and consolidation of large datasets to prepare data for analysis and reporting.
• Analyze sales, product, inventory, and procurement-related data to identify trends, risks, opportunities, and key business insights.
• Translate complex data into actionable insights and recommendations to support business and procurement decision-making.
• Develop and maintain regular reports, dashboards, and data visualizations using Microsoft Excel, Power BI, Looker, or other relevant tools.
• Prepare weekly, monthly, and ad-hoc analysis and reports to support management and cross-functional teams.
• Monitor key business and procurement KPIs and identify areas for improvement based on data analysis.
• Review historical sales and product performance data to identify trends and support business planning.
• Collaborate with cross-functional teams to understand business requirements and improve data quality, reporting processes, and analytical capabilities.
• Perform other related duties and ad-hoc assignments as required.

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Analytics, Business Analytics, or a related field.
• At least 2 years of experience in Data Analysis, Business Analysis, Procurement Analysis, or a related role.
• Experience working with large datasets, Master Data, data cleansing, data validation, and data transformation.
• Advanced proficiency in Microsoft Excel, including Pivot Tables, formulas, charts and data analysis functions.
• Ability to translate data analysis into clear business insights and actionable recommendations.
• Experience in Retail or FMCG industry will be an advantage.
• Experience in developing dashboards and data visualizations using Power BI, Looker Studio or similar tools to support business decision-making.
• Ability to communicate effectively in both Thai and English is required.

Work Location: MR. D.I.Y. Office DC9, Phraek Sa Mai, Samut Prakan.

Working Hours: Monday - Friday (8:30 AM - 5:30 PM)