Business Intelligence Analyst

Visionpool Business Services Inc; Regina; On-site; CAD 70,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled Business Intelligence Analyst to drive digital transformation initiatives. This role involves designing technology solutions, optimizing SQL queries, and providing insights into reporting needs. The ideal candidate will possess extensive experience with Power BI, cloud services, and data management principles. Join a dynamic team where your analytical skills will shape business decisions and support innovative solutions. If you are passionate about data and technology, this opportunity is perfect for you.

Qualifications

• 10+ years of experience in Business Intelligence or similar roles.
• Expertise in SQL for data extraction and manipulation.

Responsibilities

• Design and implement technology solutions for digital transformation.
• Guide business units through the solutioning process.

Skills

SQL Expertise

Data Analysis

Problem-Solving Skills

Communication Skills

Cloud Expertise

Education

Degree in Computer Science

Degree in Engineering

Degree in Data Sciences

Tools

Power BI

Microsoft Azure

Databricks

Job description

Visionpool Business Services is hiring a Business Intelligence Analyst. This opportunity role involves designing and implementing technology solutions that enable achieving its digital transformation goals. This includes the development and optimization of SQL queries for data extraction and manipulation, creating and maintaining reporting and SQL scripts, and providing insights into changing reporting needs and requirements. THIS OPPORTUNITY IS LOCATED ONSITE IN REGINA,SK

Typical Duties:

• 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 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.

Qualifications:

• Minimum 10 years experience working with Modern Data Management principles in a Business Intelligence Analyst or similar role
• Degree in Computer Science, engineering or Data Sciences
• 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 is 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.