JOB DESCRIPTION SUMMARY：
As an IT Data Architect, you will be responsible for collecting, analyzing, and interpreting large datasets to help our organization make data-driven decisions. You will work closely with cross-functional IT teams to design and implement technical solutions together.
The ideal candidate will have technical expertise, along with natural curiosity and an affinity for new technology. The person will be relied on to solve problems with creative solutions. As part of a team of specialists, the IT Data Architect will test, verify and implement technical solutions.
KEY RESPONSIBILITIES ：
61 Data Collection and Cleaning: Gather data from various sources and ensure its quality and integrity.
61 Infrastructure: Ensure system/data communication on all network/hardware layers are handled properly
61 Data Analysis: Use statistical methods and machine learning algorithms to analyze data and uncover trends, patterns, and insights.
61 Model Development: Develop predictive models to support business objectives and improve decision-making processes.
61 Data Visualization: Create clear and informative visualizations to communicate findings to stakeholders.
61 Collaboration: Work with other team members, including data engineers, analysts, and business stakeholders, to understand data needs and deliver actionable insights.
QUALIFICATIONS：
61 University degree (Bachelor or Master) in in Computer Science, Electric Engineering, Mathematics, or a related field
61 Proven experience internships or projects related to data analysis or data science are highly desirable
61 Ability to work under pressure whilst maintaining accuracy in work
61 Familiar with automation technology (such as hardware, network and interfaces)
SPECIFIC SKILLS & KNOWLEDGE ：
61 Proficiency in Python, R, or similar languages
61 Strong understanding of statistical methods and their applications
61 Basic knowledge of machine learning algorithms and techniques
61 Experience with tools like Tableau, Power BI, or similar
61 Familiarity with SQL and database management systems
61 Ability to explain complex data findings in a clear and concise manner
61 Excellent communication and influencing skills, including spoken and written English
61 Proactive approach with the ability to work independently and flexibly, managing and prioritizing own workload
61 Strong problem-solving skills, attention to detail, and the ability to work well in a team environment.