Experience and Skillset Requirements

Must haves:

Power BI: Proficiency in Power BI, including data modeling, creating interactive reports and dashboards, and utilizing advanced features.

·        Demonstrated experience with data analytics and reporting from Dynamics 365 CE and/or F&O.

·        Data Warehouse/Lakehouse Concepts: Strong understanding of data warehousing principles, including data modeling, ETL processes, data integration, and data governance.

 

Nice To have:

 

Azure cloud certifications (e.g. Azure fundamentals, Azure Power BI Data Analyst Associate)

·        Experience with PowerApps platform, Power Automate, Dynamics CE and F&O

Mandatory Requirements

 

• Power BI: Proficiency in Power BI, including data modeling, creating interactive reports and dashboards and utilizing advanced features.
• Demonstrated experience with data analytics and reporting from Dynamics 365 CE and/or F&O.
• Data Warehouse/Lakehouse Concepts: Strong understanding of data warehousing principles, including data modeling, ETL processes, data integration, and data governance.

 

Nice to Have Requirements

 

• Azure cloud certifications (e.g. Azure fundamentals, Azure Power BI Data Analyst Associate)
• Experience with PowerApps platform, Power Automate, Dynamics CE and F&O

 

Desired Skills and Experience

 

• Data Warehouse/Lakehouse Concepts: Strong understanding of data warehousing principles, including data modeling, ETL processes, data integration, and data governance.
• Power BI: Proficiency in Power BI, including data modeling, creating interactive reports and dashboards, configuring data gateways, and utilizing advanced features such as DAX and Power Query.
• Knowledge of technologies commonly used with Dynamics 365, such as DataVerse / Common Data Service (CDS), Data Entities, and APIs.
• SQL and Query Optimization: Strong SQL skills for writing complex queries, optimizing database performance, and troubleshooting query performance issues. Understanding of indexing, partitioning, and query execution plans.
• Data Modeling and Design: Proficiency in designing logical and physical data models, understanding relationships, defining hierarchies, and ensuring efficient data storage and retrieval.
• Data Visualization: Ability to create visually appealing and informative reports and dashboards using Power BI, understanding best practices for data visualization, and storytelling with data.
• Data Security and Governance: Knowledge of data security principles, data governance practices, data quality management, and data lifecycle management.
• Analytical and Problem-Solving Skills: Strong analytical thinking and problem-solving abilities to identify business requirements, analyze data, and provide meaningful insights to stakeholders.
• Communication and Collaboration: Effective communication skills to interact with stakeholders, gather requirements, and present findings. Collaboration skills to work with cross-functional teams, such as data engineers, data analysts, and business stakeholders.
• Familiarity with version control systems (e.g., Azure Repos) and collaboration tools (e.g., Azure DevOps) for managing code, tracking changes, and collaborating with team members.
• Experience with SQL Server Management Studio, Azure data management tools, data modeling tools 
• Experience with SSIS, SSRS