Business Intelligence Specialist – Senior
Government client
Reliability Clearance
Toronto – 3 days a week
2024-12-02 – 2025-03-31
Mandatory Requirements

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 and utilizing advanced features
Experience with SSIS, SSRS

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.
Microsoft Azure Synapse: In-depth knowledge and experience with Azure Synapse Analytics, including its architecture, data storage options (e.g., SQL Data Warehouse, Data Lake Storage), data ingestion mechanisms (e.g., Azure Data Factory, Azure Databricks), and security features.
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.
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 Integration: Knowledge of various data integration techniques, including data extraction from different sources (e.g., databases, APIs, flat files), data transformation, and loading into a data warehouse. Familiarity with ETL tools and technologies, such as Azure Data Factory or SSIS (SQL Server Integration Services).
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 (preferably, ERWIN).
Experience with SSIS, SSRS