Data Science Engineer/Data Analyst

Responsibilities

• Collaborate closely with business operations to grasp the requirements for business reporting.
• Engage in data mining and analysis, and create dashboard reports utilizing BI software.
• Contribute to the automation of data ETL processes and the deployment of query scripts.
• Effectively communicate and disseminate data analytics findings, results, and reports to stakeholders.
• Prepare technical documents including proposals and system application documentation.
• Develop, implement, and maintain AI and Machine Learning models.
• Oversee administrative tasks for RPA and DA servers.
• Manage the development and upkeep of the RPA/Power Automate platform.
• Drive the development and implementation of I4.0 projects using cutting-edge technology.

Skills and Qualifications

• A Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Statistics, Mathematics, or a related discipline.
• Exceptional statistical, analytical, and problem-solving skills, with a strong emphasis on attention to detail and accuracy.
• A high level of comfort handling large datasets, extracting insights from unstructured data, and adapting to rapidly changing project focuses.
• Proficient in programming with SQL, Power BI, Tableau, or other BI/Data visualization tools, along with Advanced Excel for delivering analytical insights.
• Familiarity with programming languages such as Python, R, or C# is considered an advantage.
• Experience in procurement and purchasing analytics is a plus.
• Excellent verbal and written communication abilities.
• A collaborative team player who is self-motivated and capable of working independently with minimal supervision.
• Proactive, eager, and open to acquiring new knowledge.