Job Title: RQ09455 - Business Intelligence Specialist - Senior
Client: Ministry of Public and Business Service Delivery and Procurement
Work Location: 595 Bay Street, Toronto, Ontario, Hybrid
Estimated Start Date: 2025-08-18
Estimated End Date: 2026-03-31
Business Days: 229.00
Extension: Probable after the initial mandate
Hours per day or Week: 7.25 hours per day
Security Level: CRJMC + Credit Check
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
Description
The Office of the Public Guardian and Trustee (OPGT) requires a Senior Software Developer to help build a new data warehouse/lakehouse and deliver the reporting MVP (minimum viable product).
Assignment Deliverables
As a member of the data team, you will be responsible to help define the MVP for reporting, build the new data warehouse/lakehouse and deliver the required reporting. A high-level list of deliverables for the data migration team follows:
Data Warehouse Design: analyze business requirements and design an efficient data warehouse/lakehouse/golden layer on Microsoft Azure
Data Integration and ETL: help develop and automate ETL processes to load data from Dynamics 365 CE and F&O into the new data warehouse/lakehouse (bronze/silver/golden layers). Help integrate data from diverse sources into the new data warehouse.
Data Modeling: create logical and physical data models that align with the project’s reporting and analytical needs.
Data Security and Governance: implement appropriate security controls to protect sensitive data within the data warehouse.
Reporting and Visualization: develop reports, dashboards and visualizations as per reporting MVP. Ensure the quality, accuracy and integrity of reports.
Performance Optimization: fine-tune the data warehouse and reporting processes to optimize query performance and overall system efficiency.
Other duties as assigned.
The Vendor’s Personnel will also be required to:
Complete work and achieve milestones within the assigned deadlines.
Notify the Cluster/Ministry project Manager in writing of any issues or other material concerns related to the Assignment Deliverables, as soon as he/she becomes aware of them
Submit Deliverables for the Cluster/Ministry approval as they are completed.
Comply with the Ontario Government and the Cluster/Ministry security procedures and practices
Comply with the Ontario Government and the Cluster/Ministry architecture/technology standards and best practices
Comply with the Ontario Government and the Cluster/Ministry Conflict of Interest and Confidentiality Guidelines
Provide knowledge and skill transfer to a designated Cluster/Ministry staff; and
Comply with the Ontario Government I&IT Directive, Operational Policy on the I&IT Project Gateway Process, and other applicable Guidelines, Standards and Procedures.
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
