Titre du poste ou emplacement

RQ10945 - Business Intelligence Specialist - Senior

Maarut - 33 emplois

East York, ON

Détails de l'emploi :

70,00 $ - 75,00 $ / heure
Temps plein
Niveau d`entrée

Scope:

The Office of the Public Guardian and Trustee (OPGT) requires a Senior Business Intelligence Specialist to help enhance the audit and reporting functionality in a Microsoft Dynamics MVP (minimum viable product).

Assignment Deliverables:

As a member of the PGTIMS Support and Data Reporting team, you will be responsible for helping to define enhancements to MVP audit and reporting functionality. A high-level list of deliverables for audit and reporting follows:

  • Collaborate with cross-functional teams: work with teams across departments to understand business requirements and deliver data-driven solutions.
  • Database management: work with databases and the data warehouse to extract, transform, and load data for analysis.
  • Data analysis: analyze and interpret complex data sets to provide valuable insights into business performance and trends.
  • Data Modeling: create logical and physical data models that align with the organization's reporting and analytical needs.
  • Data Security and Governance: apply security controls to protect sensitive data.
  • Reporting and Visualization: develop reports, dashboards and visualizations per user requirements.
  • Data accuracy: Ensure the quality, accuracy and integrity of reports.
  • Performance Optimization: fine-tune data warehouse and reporting processes to optimize query performance and overall system efficiency.
  • Other duties as assigned.

You 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 you become aware of them
  • Submit Deliverables for 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 designated Cluster/Ministry staff.
  • Comply with the Ontario Government I&IT Directive, Operational Policy on the I&IT Project Gateway Process, and other applicable Guidelines, Standards and Procedures.

Requirements

Experience and Skill Set Requirements:

Skill Set Requirements:

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
  • 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. Proven experience with ETL tools and technologies, such as Azure Synapse
  • Proven experience producing reports from data from Dynamics 365 Customer Experience (CE) and Finance (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.
  • 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. Proven experience with ETL tools and technologies, such as Azure Synapse
  • 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.
  • 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, SQL4CDS
  • Proven experience producing reports from data from Dynamics 365 Customer Experience (CE) and Finance (F&O).

Data Warehouse/Lakehouse:

  • Demonstrated experience developing reports in a Data Warehouse/ Lakehouse.
  • Data Warehouse/Lakehouse Concepts: Strong understanding of data warehousing principles, including data modeling, ETL processes, data integration, and data governance.

Power BI Experiences:

  • Demonstrated 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 Synapse
  • Proficiency in designing logical and physical data models, understanding relationships, defining hierarchies, and ensuring efficient data storage and retrieval.

Data Integration and Extraction:

  • Demonstrated 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 Synapse
  • Proficiency in designing logical and physical data models, understanding relationships, defining hierarchies, and ensuring efficient data storage and retrieval.

D365/Azure Knowledge:

  • Proven experience producing reports from data from Dynamics 365 Customer Experience (CE) and Finance (F&O).
  • Experience with SQL Server Management Studio, Azure data management tools, SQL4CDS
  • 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.

Foire aux questions