Business Intelligence Specialist Senior

Experience and Skill Set Requirements

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

Resumes Evaluation/Criteria:

Criteria 1: Data Warehouse - 25 Points

Demonstrated experience developing reports in a Data Warehouse/ Lakehouse. Experience with supporting a data warehouse in a production environment

Demonstrated experience working with Azure Synapse workspaces including knowledge of pipeline creation data flows integration runtimes triggers and monitoring.

Demonstrated experience with data warehousing modelling concepts such as star and snowflake schemas and data modelling tools.

Criteria 2: PowerBI - 25 Points

Demonstrated experience working Power BI creating interactive reports and dashboards configuring data gateways utilizing advanced features such as DAX and Power Query.

Criteria 3: SQL / DB - 20 Points

Demonstrated experience with data manipulation languages (T-SQL PL/SQL) data definition languages query performance analysis & tuning

Demonstrated experience with SQL Server Oracle Azure SQL Databases

Experience with SSIS SSRS

Criteria 4: Dynamics 365 - 20 Points

Strong understanding of the Dynamics 365 data model entities and relationships.

Experience developing reports from source data from Dynamics 365 CE or F&O.

Familiarity with Dataverse and Power Platform application development.

Criteria 5: Azure Platform - 10 Points

Experience with Azure Data Factory (ADF) and Synapse Workspaces

Demonstrated experience Azure data management tools DevOps

Azure cloud certifications

Knowledge Transfer

What needs to be KT

Document the tasks executed and in process of execution as a member of the data migration team using the approach and tools required by the project manager.

To whom

Project Manager / Team members

When

1:1 meetings / team meetings / documentation in DevOps Wiki and boards throughout the duration of the project life cycle.

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