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Business Intelligence Analyst
Business Intelligence AnalystVisionpool Business Services • Regina, SK, Canada
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Business Intelligence Analyst

Business Intelligence Analyst

Visionpool Business Services • Regina, SK, Canada
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

Job Description

Job Description

Visionpool Business Services is hiring a Senior Business Intelligence Analyst who will connect business needs with data capabilities, ensuring that the analytical approach of a project or initiative aligns with the organization’s goals. Business Intelligence Analysts will  offer stakeholder management, data planning, business capability development, and road mapping, as well as high-quality and efficient analytical services. THIS IS LOCATED ON SITE IN REGINA SASKATCHEWAN.

QUALIFICATIONS :

  • Minimum 10 years experience, within the last 15 years working with modern data management principles, in a Business Intelligence Analyst role
  • Degree or Diploma in Computer Science / Engineering, Data Sciences.

Technical Qualifications :

  • SQL Expertise :  The ability to write and optimize SQL queries for data extraction and manipulation is crucial. Additionally, the analyst should be able to create and maintain reporting and SQL scripts.
  • Power BI and Business Intelligence Tools :  Extensive experience with Power BI and other business intelligence reporting environments is required. This includes strong knowledge of  Power Query and DAX  within the Power BI environment.
  • Cloud Expertise :  Proficiency in cloud services such as Power BI Service, Microsoft Azure, and Databricks is necessary.
  • Lakehouse Architecture and Delta Format : Knowledge of Lakehouse architecture and Delta format is important for managing and analyzing large datasets.
  • Insight into Reporting Needs :  The analyst should provide insights into the changing reporting needs and requirements of the company and offer suggestions for technical solutions.
  • Data Analysis :  The ability to analyze complex datasets and derive meaningful insights is essential for making informed business decisions.
  • Problem-Solving Skills :  Strong logical and problem-solving skills are required to address data related challenges effectively.
  • Reporting Integration and Visualization :  The analyst will oversee the integration and visualization of data from legacy and on-premises systems to new solutions.
  • Content and Data Management :  Experience with content management and data management programs and governance are necessary.
  • Star Schema and Analytical Data Models : Knowledge of star schema and analytical data models is important for structuring data efficiently.
  • 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.
  • Relevant Skills :

  • Expert level communication (ability to communicate and present effectively, create effective tailored content).
  • Experience working closely with the stakeholders to guide them from start to finish through the solutioning process and into final delivery.
  • Experience designing and implementing technology solutions that enable an organization to achieve its digital transformation goals.
  • Experience with data architectural methodologies application.
  • Experience in identify potential technical risks and devise strategies to mitigate them, ensuring the success of projects.
  • Canadian federal, provincial, municipal government or similar work experience.
  • 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.
  • 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.
  • Designing and Implementing Technology Solutions :  The analyst will design and implement technology solutions that support the digital transformation goals.
  • Applying Data Architectural Methodologies :  Experience with data architectural methodologies is essential to ensure the integrity and efficiency of data systems.
  • Identifying and Mitigating Technical Risks :  The analyst will identify potential technical risks and devise strategies to mitigate them, ensuring the success of projects.
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