Full-Time Power BI Specialist

Power BI Specialist Responsibilities:

• Develop, design, and optimize Power BI dashboards and reports based on business requirements.
• Transform raw data into meaningful insights through data visualization techniques.
• Work closely with stakeholders to understand reporting needs and deliver accurate, insightful reports.
• Ensure Power BI solutions are user-friendly and accessible to business users.
• Implement best practices in data visualization, including layout, drill-through, and interactivity.
• Optimize Power BI performance by managing dataset sizes, DAX optimization, and query efficiency.
• Maintain and enhance existing Power BI reports and dashboards as business needs evolve.

Data Engineering and Integration Responsibilities:

• Work with data sources such as SQL Server, PostgreSQL, and cloud-based databases.
• Develop and optimize SQL queries to extract, transform, and load data into Power BI.
• Ensure data accuracy and integrity by implementing proper data validation techniques.
• Collaborate with database administrators and data engineers to ensure efficient data pipelines.
• Integrate Power BI reports with other business intelligence tools or platforms as needed.

Stakeholder Collaboration & Business Intelligence Strategy:

• Act as a key point of contact for Power BI reporting needs within the organization.
• Gather and analyze business requirements to define reporting objectives and KPIs.
• Train and support business users in navigating and utilizing Power BI reports effectively.
• Work closely with leadership to align Power BI solutions with business objectives.
• Continuously assess and improve reporting solutions based on stakeholder feedback.

Expertise:

• Power BI, including data modelling, DAX, and dashboard design.
• Strong SQL skills for querying and managing data sources.
• Understanding of data warehousing principles and ETL processes.
• Excellent problem-solving and analytical thinking skills.
• Ability to communicate technical concepts to non-technical stakeholders.
• Attention to detail and commitment to data accuracy and integrity.

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