Data Analyst

As a Data Analyst, you are responsible for designing, developing and delivering interactive dashboards and reports using Power BI. You integrate various data sources and perform in-depth analyses to provide valuable insights to the organization. You work closely with your team and stakeholders and process feedback to make iterative improvements to dashboards and reports.

Responsibilities:

• Designing, developing, and implementing interactive dashboards and reports in Power BI.
• Connecting to various data sources and integrating them into Power BI for building comprehensive and optimized datasets.
• Teaming up with the Data & Analytics colleagues to align on deliveries and requirements.
• Performing in-depth data analysis to identify valuable insights, determine trends and anomalies in data.
• Actively participating in Agile sprints and stand-up meetings to discuss progress and address obstacles.
• Collaborating with product owners and stakeholders to understand data requirements for reports and dashboards.
• Guiding colleagues in the organization to adopt and maximize the use of Power BI in their daily tasks.
• Ensuring compliance with data security and privacy guidelines when dealing with and sharing sensitive information.

Required Skills:

• Power BI (Desktop, Service, Report Builder)
• SQL development for data modeling and transformation
• Experience with Azure data sources:
• Azure Storage (Gen2)
• Azure Databases (Azure SQL DB)

Nice to Have:

• Power BI Embedded (for integrating reports into external applications)
• Power Automate (for workflow automation and report refreshes)

Qualifications:

• Bachelor or Master degree in Computer Science, Data Analytics or similar
• Demonstrable experience in designing and developing datasets and reports in Power BI (DAX, Report Builder, Embedded) and scheduling options (Power Automate)
• Data querying and manipulation: SQL (mandatory), Python (is a plus)
• Strong analytical skills and ability to translate complex data into actionable insights (you are data science curious)
• Experience with Agile work methodology and working in cross-functional teams
• Good communication skills and the ability to explain data concepts and Power BI functionalities to non-technical audience
• Languages: English (mandatory)

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