
1. Collaborate with cross-functional teams to understand their data requirements and develop analytical solutions that meet their needs
2. Design and implement data collection methodologies and data quality assurance processes to ensure reliable and accurate data.
3. Analyze complex datasets using statistical techniques, data mining, and visualization tools to identify trends, patterns, and opportunities.
4. Stay up-to-date with industry trends and advancements in data analytics and identify opportunities to leverage new technologies and techniques.
5. Support business unit to apply software tools such as RPA, Power Platform and Power BI in business work flow to improve the efficiency in daily work