Thông Tin Tuyển Dụng
Data Visualization - ITD - Digital Bank
Cấp bậc | Nhân viên |
Lương | $ 30,000,000 - 40,000,000 VND |
Hết hạn nộp | 31/12/2024 |
Ngành nghề | Ngân hàng , Tài chính / Đầu tư , CNTT - Phần mềm |
Kinh nghiệm | 2 - 5 Năm |
Power BI requires technical skills
1/ Power BI Proficiency: Understanding Power BI's interface, data modeling, and DAX (Data Analysis Expressions) language for calculations.
2/ Data Analysis Skills: Ability to analyze, clean, and manipulate data to derive meaningful insights.
3/ Database Knowledge: Familiarity with relational databases and SQL for querying data.
4/ Data Visualization: Knowledge of best practices for creating effective visualizations, including choosing appropriate chart types and formatting.
5/ Data Security: Understanding and implementing data security measures within Power BI, such as role-based access control (RBAC), row-level security (RLS), and data encryption.
6/ Dashboard Design: Designing intuitive and visually appealing dashboards that effectively communicate insights.
7/ Business Understanding: Understanding the business context and objectives to ensure the dashboard addresses relevant questions and needs
8/ Communication Skills: Ability to communicate complex data insights clearly to stakeholders, both verbally and visually. 9/ Problem-Solving: Troubleshooting issues with data connections, transformations, or visualizations within Power BI.
1/ Minimum 2 years of hands-on experience leveraging Power BI to develop and deploy interactive dashboards.
2/ Proven ability to design, implement, and maintain robust data dictionaries and data marts.
3/ Proficiency in SQL, Postgres, and DAX for efficient data extraction, transformation, and loading (ETL) processes.
4/ Mastery of publishing and securing dashboards to ensure data privacy and accessibility.
5 /Practical experience in creating and analyzing journey dashboards, product performance metrics, and user drop-off rates.
6/ Preferred: Candidates with a strong understanding of the banking industry and its specific data requirements.
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