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Job Description & How to Apply Below
Business Consulting Manager‑Data Scientist
Location:
Regina, SK
Number of Positions: 1
Salary: $86,109 - $114,811 (Based on education and experience)
Type of Position: Permanent Full Time
Closing Date: 03/05/2026
General Accountability
This position leverages advanced analytics and data reporting to enhance the customer experience, identify cost reduction strategies and explore new revenue opportunities. Through the combination of business knowledge and technical skills, this position provides insight into business issues. This position is responsible for data quality and integrity through consistently applied standards to produce analytics & reporting.
Specific Accountabilities
Descriptive Analytics:
Oversees the development of datasets/databases for reporting on operational results. Use algorithms and programming tools to efficiently explore and mine large datasets and apply treatments, filters and conditions to the data.
Predictive/Diagnostics Analytics:
Delves deeper into the data to determine root cause analysis. Collaborates with business units to promptly flag issues, anomalies and gaps in existing campaigns, processes and procedures. Uses results to make projections on possible business outcomes.
Prescriptive Analytics:
Quantifies the impact of future decisions, changes and strategies to the business. Proposes courses of action based on simulations and modeling. Work in partnership with the business to make recommendations on what actions should be taken and forecasts the anticipated outcomes.
Continuous improvement:
Performs original research to create opportunities that increase business intelligence maturity and ultimately Sask Tel’s competitive position.
Human resources:
Develops and guides advanced reporting and analytics teams by instruction, coaching and mentoring.
Change Management:
Influences change with strong communication, presentation and people skills.
Creates meaningful data visualizations that communicate findings and demonstrate how the insights are meaningful to the business unit(s). Use compelling communication techniques to allow for storytelling with the data.
Designs and implement repeatable processes to clean and verify the integrity of data ensuring information is available to build analytic systems.
Researches, develops and implements new statistical analysis methodologies as needed.
Extends Sask Tel’s data with third party sources of info when needed.
Maintains confidentiality of highly sensitive issues and information.
Qualifications
Bachelor’s degree in Business, Math, Statistics, Computer Science, Data Science, or Economics, with a preference for an advanced degree.
Thorough, applied knowledge of statistical concepts and calculations, data analysis, predictive modeling, machine learning, data mining techniques and data warehousing, including:
Data visualization techniques and tools
Machine learning techniques and algorithms
Statistical software tools such as R, SAS, Splunk, or Power BI
SQL and other database querying languages
Ability to apply advanced data‑mining and modeling techniques against diverse and disparate data sources.
Knowledge of and demonstrated ability to develop and apply best practice both from an industry and departmental perspective.
Ability to understand various data structures and common methods in data transformation.
Problem solving skills and an ability to creatively analyze new business problems.
Excellent communication skills, both verbal and written, and the ability to influence others, particularly when explaining complex methodologies and solutions
Leadership Accountabilities
Builds and leads a high performing workforce by demonstrating the characteristics of a great leader at Sask Tel:
Inspires Trust, Brings Passion & Energy, Sees the Big Picture, and Drives Results.
Fosters employee engagement and purposefully reinforces and role models Sask Tel’s…
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