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• Work closely with ERP and Operations teams to understand business rules, gather information from diverse sources, ensure data integrity, and design effective data collection processes.
• Use statistical methods, data modeling, and analytical techniques to interpret datasets and uncover trends.
• Create reports, dashboards, and visualizations that clearly present insights to stakeholders.
• Collect, validate, clean, and structure data into standardized datasets for analysis.
• Contribute to sales planning and forecasting through the evaluation of historical data.

REQUIREMENTS

• Education: Bachelor’s degree in Data Science, Economics, Statistics, or Finance.
• Experience: At least 5 years of experience in data analytics or a related field.
• Technical Skills: Strong proficiency in SQL, Power Query, Power BI, DAX Studio, and advanced Microsoft Excel. Hands-on experience with Azure Analysis Services, Python/R, and BigQuery is a plus.
• Skilled in using data analysis tools, programming languages, and visualization software.
• Strong analytical and problem-solving abilities with expertise in interpreting complex datasets.
• Excellent technical and logical capabilities in data modeling, data mining, and segmentation.
• Solid background in developing and applying accurate algorithms to derive business solutions.
• Strong grasp of business fundamentals and the ability to leverage data to address organizational challenges.
• Effective communication and presentation skills, with the ability to translate technical insights into actionable business recommendations for both technical and non-technical audiences.

• Lunch allowance provided.
• Full salary during the probation period.
• Annual leave consists of 12 days, plus an additional day after 3 years of service.
• Year-end bonus based on individual and company performance.
• Annual health check-up.
• Engagement and team-building activities.