
Power BI Technical and Functional Consultant
4 weeks ago
Power BI Development:
- Design, develop, and deploy interactive dashboards and reports using Power BI.
Data Analysis:
- Perform data modeling, cleansing, and transformation to ensure the accuracy and usability of data.
Business Requirements Gathering:
- Collaborate with stakeholders to understand business needs and translate them into technical requirements.
Technical Support:
- Troubleshoot Power BI issues and provide solutions to optimize performance and user experience.
Integration:
- Connect Power BI to various data sources, including SQL databases, cloud platforms, and APIs.
Training & Documentation:
- Conduct end-user training sessions and create documentation for Power BI solutions.
Advanced Analytics:
- Implement DAX (Data Analysis Expressions) calculations and advanced Power Query features.
Collaboration:
- Work closely with cross-functional teams, including IT, Data Science, and Business Units, to deliver insights-driven solutions.
Education Requirements:
- Bachelor's degree in computer science, Information Systems, Business Analytics, or a related field.
- A master's degree in data analysis or related line is a plus.
Certifications:
- Microsoft Certified: Power BI Data Analyst Associate (mandatory). PL-300
- Microsoft Certified: Azure Enterprise Data Analyst Associate (Advanced). DP-500
- Microsoft Certified: Power Platform Solution Architect Expert. PL-600
- Microsoft Certified: Database Management. DP300
- Microsoft Certified: Security, Compliance, and Identity Fundamentals. SC-900
- CBIP
- Data Visualization specialist certification.
- SQL Certification
- DAX (Data analyses Expressions) Training.
Required Skills and Experience:
- Minimum 10 years of experience in data analysis, visualization, and reporting.
- At least 5 years of hands-on experience with Power BI platform development.
- Strong expertise in DAX and Power Query.
- Proficiency in integrating Power BI with various data sources (SQL Server, Azure, APIs, etc.).
- Excellent understanding of ETL processes and data warehousing concepts.
- Strong knowledge of business intelligence tools and methodologies.
- Exceptional problem-solving and analytical skills.
- Strong communication and presentation abilities to articulate technical concepts to non-technical audiences.
Preferred Skills:
- Knowledge of machine learning and predictive analytics.
- Familiarity with Agile development methodologies.
- Experience in a consulting environment.
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