2026-08-16 Data Analysis Opportunities
Senior Insights Modelling Analyst
Canadian Tire
Oakville ON
$64,000 – $106,000
End Date: August 19, 2026
What You’ll Do:
Analyze customer, operational, and financial data to uncover trends, risks, and opportunities across the business.
Develop and maintain forecasting models for enterprise KPIs to support strategic planning and performance tracking.
Deliver performance analytics and insights for key strategic initiatives, including loyalty programs and portfolio performance.
Monitor key business and financial KPIs, identifying drivers of variance and communicating implications to stakeholders.
Develop compelling presentations and leverage strong storytelling to translate complex data into clear, actionable insights that influence decision-making.
What You Bring:
University Degree
3–5+ years of experience in analytics, financial modelling, or related roles
Strong knowledge of forecasting and performance measurement
Advanced knowledge of Microsoft Excel & PowerPoint
Advanced knowledge of SQL
Advanced knowledge of data and analytical software (SAS, Python or R) considered an asset
Experience in building financial models and understanding key financial drivers
Expertise in data visualization and BI tools, preferably Power BI
Understanding of customer analytics and statistical modelling techniques
Senior Data Scientist, Statistics and Modeling
Canadian Tire
Toronto ON
$64,000 – $106,000
End Date: August 22, 2026
What you’ll do
Develop a deep understanding of our Retail business, Loyalty, Store Operations, and Marketing programs.
Research statistical methodology to aid in protocol development (study design and sample size calculation) and analyses planning.
Construct and improve predictive models to reduce test costs and improve result confidence.
Develop statistical, causal, and machine learning models to improve customer engagement and marketing program performance.
Design and deliver attribution, incrementality, and Marketing Mix Modeling frameworks to measure marketing and loyalty program impact at customer and channel level.
Design and implement agentic AI solutions to automate analytical workflows, insight generation, and decision support for business stakeholders.
What you bring
M.S or PhD, preferably in Statistics/Math/Economics/Computer Science
7+ years experience developing and implementing data science solutions. Experience in retail businesses, or loyalty programs preferred.
Proficiency in using industry standard programming languages, including Python, R, or SAS.
5+ years of experience querying and analyzing large datasets with tools such as SQL, Spark, etc.
Experience with deep learning frameworks (PyTorch, TensorFlow) and familiarity with agentic AI architectures and LLM-based solutions is an asset.
Familiarity with cloud-based data structures, including tools to extract, manipulate and transform data within the cloud. Experience with Databricks and Azure Synapse is an asset.
5+ years interpreting, synthesizing, and presenting complex models and analyses to business partners.
Data Scientist
Canadian Tire
$53,000 – $88,000
End Date: August 21, 2026
What you’ll do:
Lead machine learning projects that drive origination, credit limit and collection strategies including managing delivery timelines and coordinating team resources
Own the full cycle scorecard design and development from initial planning and data sourcing to data modeling and validation
Deploy new models, implement updates, track data transfers, oversee scoring activities, and manage reports, addressing system or procedural issues as they arise
Regularly review and document the predictive effectiveness of various statistical models and recommend the appropriate course of action
Create customer segmentation schemes that provide strategy teams with key customer insights
Deliver effective presentations of key design elements and model build results to senior management
Work on related tasks and ad hoc activities to support business objectives
What you bring:
University degree in STEM or data science. Postgraduate degree is preferred
Three plus years of professional experience focused on developing predictive scorecards and building ML models from real-world data. Work in credit risk management or the credit card industry is an asset
Solid understanding of machine learning steps and modeling metrics is a must
Proficient in SQL, Python and, ideally, SAS programming language
Experience with machine learning libraries like Pandas, XGBoost, scikit-learn, LightGBM or other similar ecosystems
Hands-on exposure to modeling platforms like Enterprise Miner, Analytics Workbench or SPSS Modeler is a plus
Comfortable with cloud-based data structures and tools like Azure, AWS and Databricks is a plus
Background in manipulating large relational databases with detailed and granular information
(4) https://emplois.bnc.ca/en_CA/careers/JobDetail/P4R33-ANALYSTE-SENIOR/34064
Senior Analyst
National Bank of Canada
Toronto ON
Your job:
Develop and recalibrate IFRS-9 and stress testing models for the Bank’s wholesale and retail portfolios. Document the data selection, modeling techniques and implementation.
Conduct model backtesting, monitor model performance and propose appropriate model actions
Conduct IFRS-9 ECL impact assessment for parameter recalibration, economic scenario change, model updates, data migration and process changes.
Operate and maintain the IFRS-9 ECL reporting processes to produce timely and accurate ECL results.
Provide in-depth analysis on IFRS-9 results and identify key drivers for ECL movements.
Prepare IFRS-9 ECL results, analysis and materials for IFRS-9 stakeholders, External Audit and regulators.
Develop, manage and monitor IFRS-9 PCL budget and limit for the bank.
Provide support for ad-hoc requests required by IFRS-9 stakeholders and senior management in a precise and efficient manner.
Develop and maintain the IFRS-9 related documentation. Review and evaluate the technical implementation and results.
Prerequisites:
Masters in a relevant field
Completion or progression in CFA and/or FRM would be an asset.
Completion of SAS certification would be an asset.
Professional experience in quantitative model development.
Hands-on experience in managing, reconciling, and interpreting large and complex enterprise level data sets.
Knowledge with IFRS-9 and regulatory requirements.
Hands-on experience with SAS, SQL, MS Excel (VBA) or Python.
Knowledge of AI and Machine Learning would be an asset.
Excellent analytical skills to identify the causes of risk changes and impact to business and strategy.
(5) https://jobpostings.alberta.ca/job/Edmonton-Resource-Analyst/604719617/
Resource Analyst
Alberta, Government of
Edmonton AB
$3,165.58 – $4,088.56/bwk
Closing Date: August 24, 2026
This role:
Supports the collection, maintenance, analysis, documentation, and use of permanent sample plot and related monitoring data across Alberta’s Crown forestlands.
Compiles, validates, analyzes, summarizes, and reports on permanent sample plot data to support growth and yield analysis, model development, forest management planning, and sustainable forest management reporting.
Provides technical advice on plot standards, field procedures, sampling design, data quality, monitoring priorities, data interpretation, and the appropriate use of permanent sample plot information.
Qualifications
Minimum Requirements A four (4) year university degree
Related experience includes data management, forest management, forest mensuration, sampling design, statistical analysis, yield estimation, regression analysis, growth modeling, reforestation standards, and/or forest resource analysis
Graduate-level education
Knowledge of Alberta forestry legislation, forest management planning,
Knowledge of permanent sample plot and temporary sample plot programs
Knowledge of data governance, metadata, data sharing, data quality, open data, restricted data, authoritative datasets, and Government of Alberta information management practices.
Experience using tools such as R, SAS, Python, SQL, ArcGIS, Excel, Access, or comparable technologies to manage, analyze, summarize, and report on forest monitoring or natural resource datasets.
Knowledge of remote sensing products, forest ecology, silviculture, stand dynamics, sustainable forest management reporting, cross-jurisdictional initiatives, or industry-led monitoring programs.
Manager, Client Engagement Analytics Job Details | Scotiabank
Scotiabank
Toronto ON
Accountabilities
Champions a customer focused culture to deepen client relationships ,develop, operationalize, and secure data processing systems on Google Cloud Platform.
Work closely with data warehouse and IT teams to manage development of analytical infrastructure comprising of databases, data infrastructure and analytical tools to provide sound infrastructure for reporting, portfolio management, analytics, segmentation and statistical modeling.
Lead advanced analytics use cases for lead generation and customer experience; utilize test and learn methodologies to measure results
Lead the creation of daily, weekly, monthly and quarterly reporting of business results
Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team
We’d love to work with you if you have:
Bachelor’s Degree in Computer Science, Finance, Economics or Statistics
MBA (Finance or Marketing) or MMA – preferred
5+ years of experience in Analytics or MIS/Reporting
5+ years of experience in programming, application development and/or data warehousing
Detailed experience in R or Python, SQL, SAS
Strong working knowledge of Tableau and PowerBI
Strong communication skills essential with clients, vendors and management
(7) https://islandhealth.hua.hrsmart.com/hr/ats/Posting/view/234070
Data Analyst
Island Health
Royal Jubilee Hospital (RJH) – Victoria, BC V8R 1J8 CA
$39.03 – $56.11/hr
Close Date: Aug. 21 2026
Job Description
The Data Analyst reports to the Director, and is an integral member of the team. The Analyst assists in the creation and dissemination of surveillance and performance measurement information to Island Health, provincial, and national stakeholders. This work involves operation and maintenance of surveillance and performance measurements databases, development and maintenance of associated supporting documentation, research, data quality audits and statistical analysis under limited supervision and in accordance with established standards and procedures. Performs data analysis, prepares and submits statistical reports and promotes the use of best practices in data management and data quality.
The Analyst provides planning and analytical support for specific provincial/national requirements, projects and initiatives as determined by the clinical team in consultation with the medical lead and Director.
QUALIFICATIONS:
A level of education, training and experience equivalent to a Bachelor’s degree in Health Science or other relevant discipline or field of study, and three years’ recent related experience working within the health system in an analytical or planning capacity.
Understanding of relevant clinical terminology.
Ability to find, collect, analyze and interpret data, use basic statistical concepts, and prepare written reports.
Knowledge of and demonstrated ability to use advanced computerized databases including SQL Server, MS Access, Excel and more advanced features of Microsoft Office.
Proficiency with statistical programs (e.g. SAS, SPSS, R)
Knowledge and demonstrated use of Tableau is an asset.
Modelling / Forecasting Senior Analyst (Quants)
TD Bank
Toronto ON
$81,600 – $115,200
End Date: September 4, 2026
Job Description:
Assist in Model Monitoring code development, maintenance, and enhancements, including code reviews, as required.
Assist in the development and ongoing improvement of MGM’s Model Monitoring and Governance Framework. This includes monitoring activities relating to the execution and documentation of:
Model Performance Monitoring (Accuracy, Discrimination, Performance Trending Analysis)
Population and Characteristic Stability Analysis
Support Annual Model Reviews and Ongoing Model Validations, ensuring concise and accurate quantitative analysis and documentation is delivered in a timely fashion for MD, MV, and MRM for review.
Support coordinating the collecting of evidence and closure of MV, Audit and Regulatory findings.
Adhere to TD and industry best practices and standards for project management (PMLC).
Assisting in other areas within the Model Governance & Compliance space, as requested
In addition to BAU work, MM will be focused on the following transformative initiatives:
Exploring MGM’s model monitoring mandate to cover other risk models within CBAW RM.
Migrating from existing SAS platform to the new MLE platform in 2024-2025.
Job Requirements:
Strong working knowledge and preferably three or more years of extensive hands-on experience using SAS, SQL, and Python in the context of data manipulation, data mining, and statistical analysis.
Experience working in both operational and project environments
Strong problem-solving skills
Good inter-personal skills to build and maintain productive working relationships with various business partners across the Bank and on different levels of organization.
Ability to manage multiple initiatives and priorities, ensuring critical deadlines are met
Understanding of basic retail credit risk drivers would be an asset
Understanding of scorecard models would be an asset
Understanding of account management, adjudication, and collection strategies would be an asset
Understanding of regulatory programs such as Basel and IFRS9 would be an asset
Undergraduate degree in Mathematics, Statistics, Economics, Engineering, or similar disciplines. Postgraduate degree would be an asset.
SAS certification would be considered an asset.
(9) https://careers.mpac.ca/job/Pickering-Quality-Management-and-Data-Support-Specialist-ON/1291462147/
Quality Management and Data Support Specialist
Municipal Property Assessment Corporation
Pickering ON
$96,105 – $113,072
Closing Date: August 27, 2026
You have:
Completion post-secondary (college or university) education
A minimum of 7 years progressively responsible experience in data management and analytics in a similar industry with a minimum 5 years’ experience in quality control
Proven experience in one or more statistical programming languages such as R, SAS, SPSS, etc.
Knowledge and experience with assessment terminology, policies and procedures
Excellent interpersonal and collaboration skills
Strong time management and organizational skills to meet tight deadlines and integrate multiple work assignments
Proficient use of Microsoft suite applications: Word, Excel, PowerPoint
Completion of post-secondary (college or university) education in: Statistics, Mathematics, Computer Science, Business Administration
Working toward or the completion of a property valuation designation AIMA, MIMA, AACI FRICS, and/or Data Governance related designation
Experience in at least one general programming and/or scripting language such as Java, Python, C++, SQL, etc; and proficient with GIS and visualization tools such as QGIS, ArcView, Qlikview, Tableau and PowerBI
What you will do:
Promote efficient, accurate records, and effective information management across MPAC, to achieve data standardization, transparency and traceability
Perform enterprise data quality health checks and analysis, identifies and evaluates concerns in governing data and suggests observations and/or work edits enhancements to management
Maintain data integrity and improves data quality throughout the data lifecycle in the development of deliverables and ingestion of data into existing systems
Support corporate stakeholders in building a strong data governance foundation by evaluating data sets including data usability, consistency, readiness, security and integrity
Design and automates the development of control structures; and conducts periodic data reviews to identify data anomalies to mitigate corporate risks
Lead efforts to develop scalable, innovative approaches to extracting, managing, analysing and interpreting historical data results to identify trends or patterns in complex data sets
Serve as core team member on corporate projects, participate as a subject matter expert, and provide support to ensure data governance framework compliance
(10) https://careers.uoguelph.ca/job/Guelph-Evaluation-Lead-and-Data-Analyst-ON-N1G-2W1/1291458047/
Evaluation Lead and Data Analyst
University of Guelph
Guelph ON
Closing Date: 08/24/2026
Duties and Responsibilities
Reporting to the Senior Director, Student Affairs, and working in close collaboration with the Associate Director, Student Wellness, the Evaluation Lead and Data Analyst provides leadership in evaluation, data analysis, and knowledge mobilization to support projects across Student Wellness Services.
The position is responsible for compiling and analyzing large volumes of complex data from multiple systems and sources, and for translating findings into clear, accessible reports, dashboards, and other knowledge-sharing products
The Evaluation Lead and Data Analyst provides strategic advice and recommendations to SWS and Student Affairs leadership, synthesizing complex quantitative and qualitative evidence into actionable insights that inform priorities, service planning, and policy direction.
The position requires a strong understanding of integrated data systems and data governance practices, ensuring data quality, consistency, and appropriate use of data across sources. The role also supports survey and evaluation design using rigorous methodological approaches, and may contribute to grant development, ethics review processes, and dissemination of findings within and beyond the institution.
The position routinely works with sensitive and confidential data, including personal and health information, and requires a high degree of discretion, sound judgment, and compliance with applicable privacy legislation (e.g., PHIPA, FIPPA). The role operates with a high level of independence, responding to both planned and ad hoc requests, often within tight timelines.
Requirements
Master’s degree in Public Health, Epidemiology, Statistics, Data Science, Program Evaluation or a related discipline.
3-5 years of applied data analysis or program evaluation experience.
Experience working with large survey datasets, administrative data, and program‑level evaluation.
Excellent quantitative, analytical and problem-solving skills and an aptitude for research and analysis.
Ability to program and work in SAS, R, and SQL to write macros, perform queries, data analysis, etc.
Strong written and verbal communication skills and demonstrated experience translating technical and statistical findings into clear, actionable information for non‑technical audiences.
Experience in health care context, sensitive data management.
