Company: The LEGO Group
Job Title: Admin Intern, Data Engineering team
Department: China Channel & Ecosystem, Digital Technology
Location: 696 Weihai Rd, WeWork 4th Floor/999 Huaihai Middle Rd, IAPM 31th Floor
Job Duration: 6 months or above
Work Schedule: 3 days per week or above.
Job Description (JD):
Empower your passion for data and make a real impact by joining our Data Engineering team as an Intern!
You can gain valuable hands-on experience in data team operations and contribute to critical business intelligence initiatives. You will work closely with experienced professionals, tackling real-world challenges and developing sought-after data skills in a dynamic and collaborative environment. You can have professional mentoring and coaching sessions accelerating your growth in both technology and personal.
Responsibilities:
· Assist with day-to-day operations within the data team
· Perform administrative tasks as needed to support team objectives
· Help create and maintain documentation for processes and procedures
· Support team members on ongoing projects by conducting research, data analysis, and compiling reports
· Participate in team meetings and contribute ideas for improvement
· Collaborate with other interns and staff to complete assigned tasks and projects
Expected Internship Duration:
· This internship is a minimum 6-month commitment, requiring at least 3 days per week, from 9:00 AM to 6:00 PM (including a one-hour lunch break)
· Performance-based extension is possible
Must-Have Skills:
· Excellent oral and written communication skills for effective interaction with team members and colleagues
· Strong sense of ownership and accountability towards assigned tasks and projects
· Ability to work as part of a team
· A positive attitude and willingness to learn
· Proficient in using Office 365
Nice-to-Have Skills:
· Basic knowledge of reporting tools such as Power BI/Tableau for data visualization and analysis
· Familiarity with Airflow and Python for automation and workflow management
· Basic understanding of AWS big data services, including but not limited to S3, Redshift, Glue, and DMS
Ready to launch your data journey? Apply Now!
