Client: SaskEnergy
Role: Business Intelligence Analysts
RFP No.: SX7227
Location: On-Site Regina,SK
Contract Term: Initial 15 months with an extension
Start Date: January 2026
End Date: The Contract will be effective for an initial term commencing on the date of award and ending on March
31, 2027. The Contract will automatically renew for successive one (1) year terms, a maximum of four
(4) times
Due to Client: December 24th 2025, 2:00 PM MDT
Due to BQ: Dec 24th 2025, 12:00 PM MDT
Please Include: Resume, References, Skills Matrix
Rate Range or Guidance: Best Available
Mandatory Requirements (Pass/Fail)
Candidate must have a minimum 10 years experience, within the last 15 years working with modern
data management principles, in a Business Intelligence Analyst or similar role.
Candidate must have a Degree or Diploma in Computer Science / Engineering, Data Sciences or a
related discipline, or minimum 10 years related work experience.
Candidate must be able to work and be located full-time on site at SaskEnergy Head Office in
Regina, Monday to Friday 8 am to 5 pm.
SaskEnergy is seeking two (2) Business Intelligence Analyst Resources with a broad-based background
of technical experience and deep technical expertise in data management principles, business
intelligence tools, and data architectural methodologies. As a data-driven organization, SaskEnergy
leverages advanced analytics and business intelligence to enhance decision-making and drive
operational excellence. The Business Intelligence Analyst role is pivotal in transforming data into
actionable insights that support SaskEnergy’s strategic objectives and digital transformation goals.
The role involves designing and implementing technology solutions that enable SaskEnergy to achieve 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.
Business Intelligence Analysts at SaskEnergy apply their expertise in Power BI, Power Query, DAX, and
other business intelligence reporting environments to deliver tailored content and effective
presentations. They work closely with the Business Units to guide them through the solutioning process
and into final delivery, ensuring that the solutions meet the business needs of the organization. The
skills required for the Business Intelligence Analyst role are broad and encompass technical disciplines
such as cloud expertise in Power BI Service, Microsoft Azure, and Databricks, as well as knowledge of
Lakehouse architecture and Delta format. Strong logical and problem-solving skills are essential to
address data-related challenges and derive meaningful insights from complex datasets.
Business Intelligence Analysts are engaged in enterprise design and development, overseeing the
reporting integration and visualization of data from legacy and on-premises systems to new solutions.
Additionally, the role requires commitment to operational excellence in delivering customer-focused
experiences, adherence to industry security standards, and compliance with the Personal Information
Protection and Electronic Documents Act.
Description of Requirements
Typical activities in this role include but not limited to:
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.
The proposed Business Intelligence Analyst resource candidate will preferably have the following skills
and experience listed below:
1. 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.
2. 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.
3. Cloud Expertise: Proficiency in cloud services such as Power BI Service, Microsoft Azure, and
Databricks is necessary.
4. Lakehouse Architecture and Delta Format: Knowledge of Lakehouse architecture and Delta
format is important for managing and analyzing large datasets.
5. 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.
6. Data Analysis: The ability to analyze complex datasets and derive meaningful insights is
essential for making informed business decisions.
7. Problem-Solving Skills: Strong logical and problem-solving skills are required to address datarelated 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 models
is 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.
NOTE: Above should be clearly detailed within submitted Resume.
CONTRACT DURATION
The Contract will be effective for an initial term commencing on the date of award and ending on March
31, 2027. The Contract will have the option to renew for successive one (1) year terms, a maximum of
three (4) times