Hotline: 0918033133
29/05/2024
Nhân viên chính thức
Cạnh tranh
3 - 5 Năm
Nhân viên
30/06/2024
- Lead the development and maintenance of Power BI dashboards and reports, ensuring they meet the needs of end-users for acurate an timely insight.
- Collaborate with IT and data management teams to design and implement a scalable data warehouse architecture that supports the organisation's BI needs.
- Work closely with stakeholders across the organisation to identify reporting requirements and translate business needs into technical specifications.
- Manage the full lifecycle of BI projects, from requirements gathering to implementation and user training.
- Ensure data accuracy and integrity by implementing quality controls and validation processes.
- Provide technical guidance and support in the selection and integration of BI tools and software.
- Stay abreast of the latest industry trends in BI and analytics, recommending improvements to tools and processes to maintain competitive advantage.
- Conduct ad-hoc data analysis and present findings to stakeholders in a clear and concise manner.
- Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or a related field.
- Minimum 3 years’ experience in analytical background.
- Proven experience as a Data Analyst, with extensive experience in using Power BI for dashboard and report development.
- Strong background in data warehousing principles and practices, with hands-on experience in setting up a data warehouse from scratch.
- Proficient in SQL and familiar with other programming languages (e.g., Python, R) for data manipulation and analysis.
- Solid understanding of BI and data analytics concepts, with the ability to translate business requirements into technical solutions.
- Excellent problem-solving skills and the ability to work independently on complex projects.
- Strong communication skills, with the ability to articulate technical concepts to non-technical stakeholders.
Nice-to-have:
- Experience with cloud-based data warehousing solutions (e.g., AWS, Azure, Google Cloud).
- Knowledge of data modelling and data governance practices.
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