Data Analyst

Công ty Cổ phần GEM Tòa The Nine, số 9 Phạm Văn Đồng, Mai Dịch
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Chi tiết tuyển dụng

Mức lương: Đến 35 Triệu
Khu vực: Hà Nội
Chức vụ: Nhân viên
Hình thức làm việc: Toàn thời gian
Lĩnh vực: Khác

Mô tả công việc

Create comprehensive reports and visual charts to illustrate data trends for non-technical stakeholders;
Utilize specialized tools to gather the necessary data;
Perform SQL queries to process and manage data effectively;
Develop detailed reports for clients within specific projects;
Analyze data to identify significant trends and patterns;
Present data-driven insights to clients and management in a clear and concise manner;
Collaborate with Data Engineers, Data Scientists, and Architects on data-centric projects.

Quyền lợi được hưởng

13th-month salary and performance review twice a year;
Salary: Up to 35M;
Bonus for special occasions each year (Labor Day, National Day, Solar New Year, Lunar New Year);
Probation salary is 100% of official salary;
Enjoy company summer trip and other team building activities held monthly and quarterly;
IT Certificate allowance as regulated;
Professional, creative and dynamic working environment;
BIC Care Health Insurance;
Social, health and unemployment Insurance following Government policy;
Project bonus twice a year;
Working days from Monday to Friday, with flexible check-in time.

Yêu cầu kỹ năng

Must have:
Proficiency in PowerBI or Tableau for data visualization and reporting;
Advanced SQL skills for querying and managing databases;
Excellent analytical skills with the ability to model and interpret complex data;
Fluent English communication skills, experience working with English-speaking clients;
Minimum of 3 years of experience in data analysis or a similar role;
Strong mathematical skills and logical thinking;
Ability to quickly learn new tools and technologies.
Nice to have:
Bachelor's degree in Computer Science, Information Technology, or a related field;
Proficiency in programming languages such as Scala and Python;
Experience with MicroStrategy is a big plus;
Have professional certifications in Data Analysis;
Experience working with big data frameworks like Spark, Hadoop;
Experience with one or more reporting tools and large-scale data storage platforms.