Data Analyst

Work closely with stakeholders across the organisation to identify reporting requirements and translate business needs into technical specifications.
Ensure data accuracy and integrity by implementing quality controls and validation processes.
Manage the full lifecycle of BI projects, from requirements gathering to implementation and user training.
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&039;s BI needs.
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.
Provide technical guidance and support in the selection and integration of BI tools and software.

Proven experience as a Data Analyst, with extensive experience in using Power BI for dashboard and report development.
Proficient in SQL and familiar with other programming languages (e.g., Python, R) for data manipulation and analysis.
Excellent problem- solving skills and the ability to work independently on complex projects.
Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or a related field.
Strong communication skills, with the ability to articulate technical concepts to non technical stakeholders.
Excellent English skills (written and spoken) to communicate with native English- speaking teams.
Solid understanding of BI and data analytics concepts, with the ability to translate business requirements into technical solutions.
Minimum 3 years’ experience in analytical background.
Strong background in data warehousing principles and practices, with hands- on experience in setting up a data warehouse from scratch.

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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Cập nhật gần nhất lúc: 2024-10-04 02:55:03