Business Intelligence Specialist
1 week ago
CB Canada is seeking a highly skilled Business Intelligence Specialist to join our team. As a key member of our organization, you will be responsible for designing, developing, and implementing business intelligence solutions to drive business growth and improvement.
Key Responsibilities:- Business Analysis: Conduct business analysis at varying levels of projects and phases of project to assess clients' business problems or opportunities; document the business requirements that makes sense to both Business and IT.
- Reporting and Analytics: Evaluate existing reporting, analytics, and BI platforms, and come up with recommendations and migration plan based on company requirements and business growth.
- Technical Support: Provide technical support on the platform and data management processes related to solution architecture and incoming and outgoing data integration.
- Infrastructure Development: Develop and modify the infrastructure and architecture of the platform, from model management to data integration.
- Data Governance: Work with Application support vendors, users, and source system experts to establish data governance, and resolve any data quality issues or technical problems related to data integration.
- Test Strategies: Create test strategies and test plans to ensure data integrity, accuracy, and completeness.
- Education: Bachelor's degree in Computer Science, Information Systems, or related degree.
- Experience: Minimum of 10 years Business Intelligence Solution Design experience in a multi-platform IT environment and in business process improvement.
- Skills: Expert in Advanced Analytics - Power BI / Data Visualization / UI/UX design, Expert MS Data Platform: SSIS, SSAS, SSRS / SharePoint / Power APP / Power Automate, Expert in SQL Server Database including Stored Procedures, Functions, and optimizing execution plans, Solid experience Building and maintaining Data Warehouse / Tabular Models / Cube, Solid experience MS Excel including Macros and VB scripts, Solid understanding of Kimball's Data Warehousing architecture, In-depth knowledge of everything related to data, data profiling, and data integration, ability to determine client needs and explain technical concepts to non-technical and technical audiences.
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