2026-05-25 Data Analyst Jobs
(1)https://jobs.scotiabank.com/job/Toronto-Manager-ON-M5C2R9/602761817/
Manager Job Details | Scotiabank
Scotiabank
Toronto ON
Is this role right for you? In this role you, will:
Assist Senior Manager to execute independent validations of quantitative models (e.g., asset and liability management, liquidity risk, interest rate risk in the banking book, funds transfer pricing components, non-maturity deposits, and stress testing models) in accordance with internal policy and regulatory expectations.
Perform in-depth technical reviews of model methodology, assumptions, data inputs, limitations, governance, and outcomes; design and execute quantitative tests such as replication, sensitivity analysis, benchmarking, and back-testing/performance monitoring (as applicable).
Document work in clear, well-structured validation reports that articulate findings, model risks, and practical recommendations for both technical and senior stakeholders;
Assess stress testing model governance and controls (data lineage, change management, model use and limitations, and documentation standards) and ensure validation evidence is fit for internal audit
We’d love to work with you if you have:
Advanced degree in a quantitative discipline
2–3 years of relevant experience in model validation, model development, or quantitative risk management within a financial institution; experience with Treasury/ALM, liquidity and cashflow management, interest rate risk (e.g., SIRR/IRRBB), and/or enterprise stress testing is strongly preferred.
Working knowledge of model risk management practices and relevant regulatory guidance (e.g., OSFI B-12 and B-15), with the ability to apply requirements to validation testing and documentation.
Proficiency with analytical/programming tools (e.g., Python, SAS, R, SQL, MATLAB, C++) and advanced Excel; able to independently design and execute validation tests.
Strong analytical and problem-solving skills, attention to detail, and ability to manage multiple priorities with sound judgment and accountability.
(2) https://jobs.gsk.com/en-ca/jobs/441489?lang=en-us
Clinical Data Lead – Mississauga, ON
GSK
Mississauga ON
Posted Date: May 22 2026
Details (Your Responsibilities)
Electronic Case Report Forms (eCRFs), vendor data, and other clinical outcome assessments
Defining and executing the Data Management strategy, including data ingestion, cleaning, and reconciliation
Archival of all Data Management documents within the eTMF
Archival of study databases and provision of clinical data to study sites
Leading day-to-day DS&M operational study activities for in-house studies and serving as the single point of contact for all Data Management matters
Providing Data Management operational input into study design, protocols, study planning, study documents, and study risk registers
Providing reports, status updates, feedback, and guidance to key study stakeholders on study progress
Why you?
Bachelor’s degree in a scientific, health-related, or business discipline
Experience with Clinical Data Management processes, standards, and clinical systems
Proficiency in Microsoft Excel and validation methodologies
Basic knowledge of PL/SQL and SAS is considered an asset
Understanding of data flow processes and database architecture concepts
Good understanding of regulatory requirements and industry standards, including ICH-GCP, 21 CFR Part 11, and CDISC
Comprehensive understanding of the clinical drug and vaccine development lifecycle
Manager Data Analytics and Reporting
BMO Financial Group
Toronto ON
$69,000 – $129,000
Date limite pour présenter sa candidature : 06/09/2026
Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
Develops data visualizations of “large” amounts of data that facilitate the intuitive presentation
Documents data flow, systems and processes to improve the design,
Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.
Qualifications:
Foundational level of proficiency:
Proficient in SQL and SAS coding
Technical design optimization
Decision Making
Systems Thinking
Data visualization (Power BI)
Data storytelling
Typically between 4 – 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Intermediate level of proficiency:
Insights design
Insights development and reporting
Verbal & written communication skills
Manager, Unsecured Lending Portfolio Management
BMO Financial Group
Toronto ON
$69,000 – $129,000
Date limite pour présenter sa candidature : 06/20/2026
Key Responsibilities
Design and implement customer-level account management strategies using decision tree and optimization platforms, aligning actions to growth, profitability, and risk objectives.
Act as a key model user, applying models and scores within strategy logic, ensuring proper interpretation and segmentation to differentiate risk across the portfolio.
Identify opportunities for new segmentation approaches, behavioral scores, and analytical enhancements to improve predictive power and strategy performance.
Collaborate with Technology and Analytics teams to translate strategy logic into deployable decision rules, ensuring technical feasibility and operational integrity.
Deliver data-driven insights on portfolio performance and emerging trends; recommend proactive adjustments to maintain performance within risk appetite.
Ensure strategies comply with credit policy, regulatory requirements, and model governance standards, including documentation and monitoring.
Qualifications & Experience
5+ years of experience in Credit Card and/or Unsecured Lending account management or lifecycle strategy.
Strong understanding of credit risk concepts and practical experience as a model user.
Proficiency with decision engines, decision tree software, and analytical platforms (e.g., FICO, SAS, ML scoring systems).
Demonstrated ability to translate analytical insights into executable strategies.
Experience managing cross-functional projects and influencing stakeholders.
Familiarity with credit policy, regulatory frameworks, and model governance.
Clinical Research Coordinator II
University Health Network
Toronto ON
$40.34 – $50.43/hr
Status: Temporary Full Time (1 year contract)
Closing Date: June 20, 2026
Duties
Coordinating ongoing and new research studies and projects, including REB submissions, amendments, renewals, and closures
Monitor and oversee data entry and database maintenance related activities
Recruitment of study participants as needed (e.g., identifying and screening potential subjects and obtaining informed consent)
Coordinate patient study visit schedules as per study protocol
Performs data transcription from health records or other sources, as per approved study protocol and authorized access
Administer in person and telephone interviews and cognitive testing to collect basic study participant data using established criteria
Execute study-related administrative tasks, such as collection and maintenance of regulatory documents, ethics submissions, etc.
Maintain electronic & paper information filing/retrieval methods, systems and/or formats
Conduct scientific literature searches, manuscript preparation, abstract writing and conference/workshop presentation preparations, etc.
Performs source documentation in UHN’s electronic medical record (Epic) and data collection according to UHN policy and study protocol
Qualifications
At minimum, a bachelor’s degree,
Postgraduate certificate in clinical research or graduate work is an asset
Minimum three (3) years of clinical research experience and minimum of one (1) year clinical research coordination experience
Certification as a Clinical Research Professional (i.e. SOCRA, ACRP), preferred
Proficiency in basic medical terminology
Experience with patient contact and informed consent in a clinical setting
Experience with REDCap or other databases an asset
Experience with manuscript and grant writing
Excellent organizational and time management skills
Able to operate effectively in an interdisciplinary team
Strong Proficiency with MS Office software, Microsoft Teams, Outlook, SharePoint
Proficiency with statistical analysis software (R, RStudio, SAS, SPSS, etc.)
(6) https://www.eluta.ca/search?q=SAS+sort%3Apost+salary_type_id%3A1+remote_jobs%3Alocal&pg=4
Statistical Analyst (I)
McMaster University
Hamilton ON
$34.99 – $49.20/hr
Duties and Responsibilities:
Apply established statistical methods and techniques to analyze and interpret data.
Identify the appropriate method of statistical analysis and apply statistical techniques to interpret data.
Compile and analyze data and interpret trends, fluctuations, and other changes that may emerge.
Oversee the design and maintenance of databases, data collection forms, error checking methods, and related programs for collection, analysis, and reporting.
Document new designs, codes, and modifications.
Develop test cases and test system upgrades and enhancements.
Coordinate and manage the collection, delivery, entry, verification, analysis, and reporting of data.
Recommend modifications to processes related to data collection and data entry conventions and develop implementation plans.
Review case report forms, determine possible protocol deviations, discrepant data, and inconsistent reporting.
Qualifications:
Master’s degree in Statistics or related field of study.
Requires 2 years of relevant experience.
Familiarity with PHIPA, secure environments supporting clinical or high-integrity data, and with data governance frameworks.
Familiarity with the long-term care sector and health services research.
Knowledge of MLOps, model lifecycle management, and production of AI/ML systems.
Proficiency in Python and SAS coding is considered a strong asset, particularly for automated data integration.
Ability to balance Platform stability with innovation, including AI/ML enablement.’
Data Scientist, Partnerships
Canadian Tire
Toronto ON
$33 – $54/hr
What You’ll Do:
Establish a strong understanding of financial and customer related data sources
Support the development of sound analytical models utilizing various data sources. Understand the statistical significance of various model outputs and how to interpret them for creating business value.
Enhance analysis with the use of statistical methods to provide support for findings.
Extract, manipulate and interpret data to isolate on key trends. Summarize findings into concise and informative reports and presentations, which can be easily interpreted by business partners across the organization.
What You Bring:
University Degree in Economics, Mathematics, Statistics, or other quantitative discipline
2- 3 years experience building machine learning models that address business needs
Sound knowledge of statistical models and machine learning
Advanced knowledge of Python, SQL, and/or SAS
Advanced knowledge of Microsoft Excel & PowerPoint
Experience with extracting and working with large customer and retail data sets
Draw meaningful conclusions/insights from large amounts of data
Working knowledge of data management and design
Experience in Retail or Banking Industry an asset in any of the following areas: marketing or sales support, operations, finance
Data Governance Analyst, Property and Casualty Insurance
Desjardins Group / Mouvement Desjardins
Lévis QC
you will be required to:
Advise data producers and users to ensure data can be exploited to its full potential with an eye to sound data governance, for the benefit of members and clients.
Conduct complex data quality analyses that include profiling, identifying gaps and correcting data from multiple sources.
Document the data flows and data transformation logic from capture to delivery.
Develop and maintain data governance logs, tools and dashboards.
Advise teams on how to apply data management processes and controls properly.
Apply pragmatic data governance approaches that improve operational activities and implement continuous improvement processes for data quality management.
Carry out projects related to the development of data governance.
What you bring to the table
Bachelor’s degree in a related field
A minimum of four years of relevant experience
Please note that other combinations of qualifications and relevant experience may be considered
Knowledge of French is required
Intermediate advanced proficiency of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
Expertise in data mining and manipulation
Proficiency in a query language such as SQL, SAS or Python for exploratory analysis and profiling tasks
Proficiency in visualization language like Power BI to monitor data quality
Knowledge of a specialized tool in data governance and data cataloging
(9) https://ia.ca/en/carrieres/job/JR10026142
Business Intelligence Advisor
Industrial Alliance Insurance and Financial Services Inc.
Québec QC
Here are the main responsibilities:
Gather and analyze business intelligence needs from various audiences and propose appropriate solutions.
Develop selected solutions in collaboration with technology teams and other BI stakeholders.
Act as a trusted advisor to our business partners to support their understanding and optimal use of data.
Perform in-depth analyses aimed at improving the efficiency of distribution teams.
We’re looking for someone who:
Is known for their versatility, autonomy, and curiosity, as well as the ability to manage multiple tasks and projects simultaneously.
Stands out for their analytical skills, enabling the understanding, analysis, and synthesis of complex situations in order to provide accurate diagnoses and recommend innovative solutions to business partners.
Demonstrates a high level of proactivity in identifying solutions and continuously improving business processes.
Is recognized for their strong communication skills, particularly the ability to explain and simplify complex concepts, along with a solid knowledge of the Microsoft Office suite and working knowledge of SAS and Power BI.
Has 4 to 7 years of relevant experience in business intelligence or management information.
Holds a bachelor’s degree in business intelligence, actuarial science, statistics, mathematics, or a related field.
(10) https://careers.wrha.mb.ca/job/Winnipeg-Supply-Chain-Analyst-MB/602637817/
Supply Chain Analyst
Winnipeg Regional Health Authority
Winnipeg MB
The Supply Chain Analyst will:
Conduct cost and data analyses required to support SCMSS deliverables relating to category management and contracting, client services, procurement, data management, distribution and logistics, and value analysis.
Support the execution of the SCMSS strategies and plans by gathering technical, business or clinical requirements and supply functionality.
Gather, interpret and summarize data, conduct comprehensive financial analyses and develop reports and presentations to inform business or procurement decisions delivering best overall value.
Experience
3 years of experience working in a supply chain environment, preferably within the health or public sector, including an appropriate combination of:
Supporting contracting and contract management.
Conducting cost/data/spend analyses and interpretations to inform supply chain decisions.
3 years of experience working with analytical and reporting tools, preferably Python or R but additional exposure to SQL, SAS, ArcGIS, BOBJ or Cognos Tableau, Power BI is an asset.
3 years of experience working with supply management modules in enterprise resources planning systems (e.g. Great Plains and SAP), electronic data interchange platforms, and contract management software applications and using advanced skills with general office software (e.g. Spreadsheets and word processing, presentation program and data visualization).
Experience with supply chain services in the public sector is an asset.
Post-secondary certificate or diploma in relevant disciplines such as supply chain management, data management, business administration or analysis, commerce, computer sciences or a related field from an accredited post-secondary education institution.
