Job Description :Our client is looking for a Business Intelligence in Regina, SK!

Must Have Primary Skills :
1. Communicating and Presenting Effectively: The Business Intelligence Analyst must be an expert communicator, capable of presenting complex information in a clear and tailored manner to various audiences.
2. Guiding Business Solutions: The role involves working closely with the Business Units to guide them through the entire solutioning process, from initial concept to final delivery.
3. Designing and Implementing Technology Solutions: The analyst will design and implement technology solutions that support SaskEnergy's digital transformation goals.
4. Applying Data Architectural Methodologies: Experience with data architectural methodologies is essential to ensure the integrity and efficiency of data systems.
5. Identifying and Mitigating Technical Risks: The analyst will identify potential technical risks and devise strategies to mitigate them, ensuring the success of projects.

Nice To Have Secondary Skills :
1. SQL Expertise: The ability to write and optimize SQL queries for data extraction andmanipulation is crucial. Additionally, the analyst should be able to create and maintain reportingand SQL scripts.
2. Power BI and Business Intelligence Tools: Extensive experience with Power BI and otherbusiness intelligence reporting environments is required. This includes strong knowledge ofPower Query and DAX within the Power BI environment.
3. Cloud Expertise: Proficiency in cloud services such as Power BI Service, Microsoft Azure, andDatabricks is necessary.
4. Lakehouse Architecture and Delta Format: Knowledge of Lakehouse architecture and Deltaformat is important for managing and analyzing large datasets.
5. Insight into Reporting Needs: The analyst should provide insights into the changing reportingneeds and requirements of the company and offer suggestions for technical solutions.
6. Data Analysis: The ability to analyze complex datasets and derive meaningful insights isessential for making informed business decisions.
7. Problem-Solving Skills: Strong logical and problem-solving skills are required to address data related challenges effectively.
8. Reporting Integration and Visualization: The analyst will oversee the integration and visualization of data from legacy and on-premises systems to new solutions.
9. Content and Data Management: Experience with content management and data management programs and governance is necessary.
10. Star Schema and Analytical Data Models: Knowledge of star schema and analytical data modelsis important for structuring data efficiently.
11. Compliance and Security Standards: Familiarity with the Personal Information Protection and Electronic Documents Act and industry security standards is required to ensure compliance and data security.

Proven Experience In :
Same as above 

IND1
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