2026-09-12 Data Analyat Jobs
Data Scientist, Statistics and Modelling – 2 Year Contract
Canadian Tire
Toronto ON
$32.82 – $54.34/hr
End Date: September 19, 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.
What you bring
M.S or PhD, preferably in Statistics/Math/Economics or a related quantitative discipline.
3+ 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.
3+ years of experience querying and analyzing large datasets with tools such as SQL, Spark, etc.
Demonstrated understanding of statistical techniques to programmatically select (and justify) the right approach given specific business problems and data/technology constraints.
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.
Data Analyst Student – (4 Months) – Winter Term 2027
Canadian Tire
Oakville ON
End Date: September 24, 2026
What you’ll do
Promote and support data governance and data management standards, policies, procedures, and controls across the organisation.
Assess the current state of the data environment to identify improvement opportunities, including inefficient table structures, ineffective load processes, redundant, obsolete, or trivial (R.O.T.) data, and metadata or reference data gaps.
Proactively monitor data, metadata, and reference data, and support the data stewardship community in addressing data quality and data integrity issues.
Support data integration initiatives by acting as a liaison between IT, business data owners and stewards, and subject matter experts; perform data profiling and data discovery as required.
What you’ve done
Currently enrolled in a Computer Science or related academic programme.
Proficient Microsoft Office user, including Visio, PowerPoint, Excel, and Word.
Foundational knowledge of programming concepts and languages.
Hands‑on experience with structured relational databases and writing SQL queries; experience with Oracle databases is preferred.
Exposure to one or more of the following tools or technologies is considered an asset:
Hive, Snowflake, Python, R, shell scripting, SAS, basic Linux commands, Databricks, IBM Knowledge Catalog.
Senior Analyst
Canadian Tire
Oakville ON
End Date: September 24, 2026
Responsibilities
Analyze customer, operational, and financial data to uncover trends, risks, and opportunities across the business.
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.
Reconcile and align data across sources to ensure consistency with financial reporting
Apply statistical and analytical techniques to enhance insights.
Provide proactive analysis on areas impacted by economic, market, and customer behavior trends.
What You Bring:
University Degree in Business, Accounting, Finance, Economics, Mathematics, Statistics,
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
Experience in retail, financial services, or loyalty analytics is an asset
(4) https://sgico.wd10.myworkdayjobs.com/sgi/job/Regina-SK/Data-Scientist_R7017
Data Scientist
SGI
Regina SK
Posting Close Date: September 24, 2026
Key Accountabilities
Liaises with lines of business and corporate functions on data science requirements.
Mines and analyzes data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
Uses predictive modeling to increase and optimize customer experiences, revenue generation, workflow decisions, and other business outcomes.
Develops A/B testing framework to test model quality.
Creates automated anomaly detection systems and tracks its performance.
Conducts complete advanced analytics project cycle from end to end: idea generation;
Enhances data collection procedures to include information that is relevant for building analytics systems.
Provides information in a clear, relevant format, such as a dashboard, graph, report, or presentation,
Consults with Data Engineer to create and improve data assets and pipelines that improve the advanced analytics process.
Education and Experience
A four-year degree from an accredited post-secondary educational institution
Three to Five years of experience in a data science, research, and/or equivalent role.
Three years of experience in Property and Casualty insurance with superior understanding of the business domain is an asset.
Knowledge of advanced machine learning algorithms and mathematical and statistical concepts and techniques (e.g., clustering, decision tree learning, artificial neural networks) and their real-world advantages and drawbacks.
Skill in using common data science toolkits and statistical programming languages (e.g., R, Python, SAS, SQL) to manipulate data and draw meaningful insights from large datasets.
Skill in processing high-level requirements from stakeholders to develop the required data extraction program and visualization needed for high-priority projects using industry standard reporting tools.
(5) https://emplois.bnc.ca/en_CA/careers/JobDetail/P5A10-SCIENTIFIQUE-SENIOR-DE-DONNEES/35311
Senior Data Scientist
National Bank of Canada
Edmonton AB
Posting date : 10-Sep-2026
Your job:
Define the approach, direct and develop regulatory models of probability, loss and exposure at default
Explain and defend the models developed with internal partners and regulatory authorities
Actively participate with it partners and business lines to ensure the models developed are understood and implemented
Quickly identify issues and problems related to models, develop appropriate solutions and ensure stakeholder buy-in
Contribute to advancing the sector in terms of the evolution of modelling and model development techniques in line with regulatory requirements and industry advances.
Prerequisites:
Diploma in mathematics, statistics, financial engineering, econometrics or a related field with 5 to 7 years of relevant experience
Modelling or statistical and probabilistic validation experience
In-depth knowledge of credit risk management, the Basel Accord, and OSFI CAR and E-23 guidelines
Solid knowledge of programming, preferably SAS or SQL
Solid knowledge of IFRS9 and its application, an asset.
Strong interest in Artificial Intelligence (AI)
(6) https://jobpostings.alberta.ca/job/Edmonton-Compliance-Analyst/606007517/
Compliance Analyst
Alberta, Government of
Edmonton AB
$2,935.39 – $3,850.29/bwk
Posting Date: Sep 10, 2026
Key Responsibilities:
Identify, assess, and prioritize potential areas of non-compliance, fraud, waste, or abuse within practitioner payment systems using data analytics, risk assessment, and business knowledge.
Extract, query, manipulate, validate, analyze, and report on large health data sets, including Alberta Health Care Insurance Plan claims data, to support audit and compliance review work.
Develop queries, analyses, reports, dashboards, and other analytic products to detect anomalies,
Contribute to proactive risk management, stakeholder education, process improvements, policy enhancements, and system controls to reduce future non-compliance and inappropriate payments.
Collaborate with internal stakeholders, the Business Intelligence Environment team, application support areas, and external service providers to resolve data quality, reporting, and system issues.
Qualifications
University graduation in a related field, , plus 2 years of progressively responsible related experience; or equivalent as described below.
Equivalencies: Directly related education or experience considered on the basis of:
1 year of education for 1 year of experience; OR
1 year of experience for 1 year of education.
Preferred Experience for Compliance Analyst:
Experience extracting, querying, manipulating, validating, analyzing, and reporting on large data sets using database concepts and analytic tools.
Experience using SAS, SQL, R, or Python to query, extract, manipulate, and analyze data from a relational or cloud data warehouse.
Experience with Snowflake or a comparable cloud data platform is an asset.
Experience with SAS Visual Analytics, R Shiny, Tableau, Power BI, or similar visualization tools.
Experience applying data analysis, statistics, risk assessment, or data mining approaches to identify trends, anomalies, outliers, or compliance risks.
Knowledge of health claims data, medical terminology, claims processes, fraud, waste, and abuse principles, control frameworks, or public-sector compliance/audit activities.
Statistical Programmer I
Everest Clinical Research Inc.
Markham ON
Accountabilities:
Statistical Programming:
Under supervision, may develop and review SDTM and ADaM dataset specifications, annotated Case Report Forms (CRF) and other related documents (e.g., define.xml, reviewer’s guide) based on Statistical Analysis Plan (SAP), Everest company Standard Operating Procedures (SOPs) and Working Instructions (WIs), industry data standards, regulatory requirements, and trial Sponsor-specific requirements.
Program and validate SDTM and ADaM datasets following approved dataset specifications; perform CDISC conformance checks on generated SDTM and ADaM datasets and address conformance findings.
Develop SAS programs to generate and validate statistical output reports of trial data based on the SAP and TLGs mock-up shells.
Provide statistical programming support to Clinical Study Reports, clinical trial efficacy and safety data integrations (Integrated Summary of Safety and Integrated Summary of Efficacy), as well as other data analysis and reporting needs such as regulatory required safety reports (e.g. Development Safety Update Report, 120 Day Safety Update, etc.), ad-hoc requests, and exploratory data analyses.
- Clinical Data Acquisition and Cleaning Support:
Develop and maintain SAS programs to perform database integrity checks and work with Data Managers to address data issues and queries for ongoing data cleaning and review.
Support data acquisition of non-CRF data by developing SAS programs to reconcile the CRF and non-CRF data and performing data integrity checks of the non-CRF data.
Develop SAS programs to generate data listings, summary tables, and graphs for ongoing data cleaning and scientific data surveillance reviews (safety, missing data, trending and signaling, etc.).
Develop SAS programs to generate Patient Profiles to support trial subject case review activities.
Document data and programming information in accordance with Everest company SOPs and WIs; and achieve audit readiness during and at the end of the clinical trials for internal and external quality and compliance audits.
Requirements:
A Master’s or Ph.D. Degree in statistics, biostatistics, epidemiology, public health, bioinformatics, mathematics, or computer sciences, with SAS certified Base/Advanced. Clinical trials programmers are highly preferred; exposure/experience in clinical trial statistical programming and/or data analysis is desirable.
(9) https://careers.regionofwaterloo.ca/RoW/job/Waterloo-Student%2C-Health-Information-ON/605178817/
Student, Health Information
Waterloo, Regional Municipality of
Kitchener ON
Duties/Responsibilities
Extracts, manipulates, analyzes, and interprets data from health information systems.
Identifies and assesses data analysis, data management, and project-related issues (e.g., data quality, software issues) and recommends solutions to program areas and management.
Designs and develops data visualization dashboards to display and analyze health and performance indicators.
Develops and customizes user guides, standard operating procedures, and protocols for health information systems.
Writes briefs, reports, and other documents.
Performs quality assurance activities.
Assesses and analyzes program information for compliance with standard operating procedures, protocols, and user guides.
Knowledge, Skills, and Abilities
Knowledge and skills in health information systems and database development, management, and analysis are acquired through current enrollment in a related post-secondary program.
Knowledge of and ability to comply with corporate polices, procedures, and legislation
Ability to create process maps, flowcharts, workflows, and project timelines.
Ability to extract, collate, analyze, and interpret data from health information systems.
Ability to identify data quality and software issues, and recommend solutions.
Ability to readily learn new systems and programs.
Familiarity with equity-related approaches to data disaggregation and data governance principles when working with priority populations (e.g., First Nations Principles of OCAP).
Computer skills with ability to use software such as Microsoft Office applications, including Excel and PowerPoint, SQL, statistical software (e.g. SAS, SPSS), and data visualization software (e.g. Tableau, Power BI).
Associate, Marketing Client Strategy
CIBC
Toronto ON
End Date: September 17, 2026
How you’ll succeed
Marketing Strategy – Help to define and own the product marketing plans for the Wealth Solutions business. This will include the strategic planning and execution of the tactics within the plan to support the ongoing growth of our Wealth Solutions products. This includes support for the development of marketing content, the production and distribution of that content: marketing collateral (brochures, monthly newsletters, etc.), digital content on the website, enhancements to achieving optimal SEO and AI related search. Planning for and the execution of direct marketing programs including email marketing (leveraging a marketing platform, i.e. braze), social media marketing, digital advertising,
Marketing Reporting & Analytics – Production of monthly, quarterly and year-end reporting for marketing, related activities (website traffic, email campaigns, etc.) and ad hoc analytics requests. Competitive intelligence gathering, providing reporting on competitive activity and relevant insights.
Who you are
You can demonstrate experience. 5 years+ experience in a Digital Marketing or Marketing Strategy role. You have demonstrated experience in executing marketing campaigns and seeing creative concepts come to life. You have the ability to manage the development of a broader range of marketing assets and experience in financial services marketing. Proficiency with various analytical and marketing platforms including Excel, braze, Google Analytics, Google Adword, LinkedIn, etc. Strong knowledge and/or experience working in the investment products and services and capital markets is a strong asset.
You have a degree. In Marketing, Communications, and/or related field.
You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
