2026-05-30 Data analysis Jobs
Credit Risk Strategist
Canadian Tire, Oakville ON
$53,000 – $88,000
End Date: June 9, 2026
What you’ll do
The Credit Risk Strategist position reports to the Manager, Late Stage Customer Management. The position is responsible for the development of credit risk strategies, customer segmentations & providing quality analytics required to build, execute & refine strategies.
Participate in the complete life cycle of credit risk management, including data mining, model building, decision optimization, strategy development & implementation
Develop, manage and monitor credit risk strategies related to account management and collections
Formulate plans to address customer needs, in the form of authorization decisions, reinstatement strategies, card reissuance, collections tactics and other related maintenance analytics.
What you bring
University degree in a quantitative discipline, Mathematics, Statistics, preferred
Demonstrated analytical, mathematical and problem-solving skills.
Proven ability to program in pertinent languages, including SAS, SQL, Python
Big picture thinking: Ability to step back and understand impacts on a larger scale and explain complex analytical recommendations to both technical and non-technical stakeholders
Knowledge of the credit card lifecycle & credit risk management is preferred
Knowledge of TSYS, TRIAD & BLAZE is an asset
Credit Risk Data Analyst Student (4 months) – Fall 2026
Canadian Tire
Oakville ON
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.
Maintain data models and supporting artefacts, including data glossaries, catalogues, data mappings, data lineage, classifications, and related documentation.
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.
Who you are
A clear and confident communicator with the ability to explain technical concepts to varied audiences.
A curious and creative thinker who identifies opportunities and can reason through abstract ideas.
Demonstrates transparency, accountability, agility, and openness to learning from others.
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.
(3) https://jobs.rogers.com/job/Toronto-Manager%2C-Collections-Strategy-ON/1349870700/
Manager, Collections Strategy
Rogers
Toronto ON
What you’ll do:
Design, implement and refine portfolio management strategies across credit card life cycle, focusing on collection, authorization.
Track and evaluate strategy performance metrics, identifying opportunities to mitigate risk and increase revenue
Partner with technology team to test and deploy strategies in portfolio management system
Quantify the impact of the proposed strategies on key revenue and loss metrics
Develop and maintain dashboards and visualizations to monitor collection composition changes and drive optimization through segmentation and treatment strategies
Build and maintain reports to track delinquency and charge off trends at vintage and segment levels to assist with loss forecasting and portfolio insights
What you bring:
Experience with TS2, Triad, Knowledge Studio, collection operation
Bachelor’s degree in mathematics, Statistics, Business, Finance, Economics
3+ years of experience in credit risk, collection strategy, or portfolio management (credit card experience preferred)
At least 5 years of experience in data analysis using programs such as Python, SQL, SAS, R
At least 3 years of experience in using data visualization tool such as PowerBI, Tableau
Highly proficient with Microsoft office applications – advanced Excel (knowledge of macros-VBA and pivot tables)
Highly motivated individual with strong desire to learn, to identify process gaps or opportunity for improvement, and succeed in a challenging fast-paced environment
(4) https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=192598&lang=en
Economic Consultant I
HDR, Inc.
Toronto ON
In the role of Economic Consultant I, we’ll count on you to:
Conduct research to aid in interpretation of and solutions for problems with economic and statistical relationships
Study economic and statistical data in area of specialization
Collect and compile data relating to a research area, utilizing knowledge of available sources of data and various econometric, statistical and sampling techniques
Implement programmatic coding of data in preparation of econometric or statistical analyses
Review and analyze data in order to prepare reports detailing results of investigation, and stay abreast of economic, policy or regulatory changes
Organize data into report format, and arrange for preparation of graphic illustrations of research findings
Perform other duties as needed
Qualifications
Master’s degree preferred in Economics, Statistics or related field
Experience in statistics or econometrics and programming in R, python, SPSS or SAS
Bachelor’s degree
Excellent knowledge of Microsoft Windows, Excel, PowerPoint, and Access
Background in statistics
Must have strong oral and written communication skills
Must be adept at working within a team environment
An attitude and commitment to being an active participant of our employee-owned culture is a must
(5) https://emplois.bnc.ca/en_CA/careers/JobDetail/P5A10-SCIENTIFIQUE-SENIOR-DE-DONNEES/32625
Senior Data scientist
National Bank of Canada
Montréal QC
Your job
Assess the conceptual soundness of models (mathematical specifications, regulatory compliance, limits, etc.)
Assess the quality and relevance of input data, verify assumptions and the treatment of outliers
Assess the accuracy and performance of models (robustness, stability, sensitivity analyses, backtesting, benchmarking)
Identify uncertainties and assess the risk associated with the models
Documenting analyses findings and conclusions in validation reports
Interact with stakeholders (model developer/owner, governance committees, senior management)
Prerequisites
A Bachelor’s degree in statistics, actuarial, finance, mathematics or a related field and 5 years of relevant experience or a completed master’s degree and 3 years of relevant experience
Master credit risk parameter estimation models
Understand and interpret Basel II Accord
Be aware of the risks related to financial crime
Proficient SAS Base, SAS EG, Python, Matlab, R
English, French
Manager, Campaign Strategy and Optimization
BMO Financial Group
Toronto ON
Application Deadline: 06/18/2026
What you will be doing:
Accountable to deliver analytics, insights and reporting in line with both immediate and long-term business objectives
Conduct optimization or trade-off analysis between programs and channels
Develop and maintain ongoing dashboards to support the business
Comfortable with building fully automated user managed tables that drive omni-channel customer contact analyses, and automated dashboard reporting
Provide business and technical specifications to develop customer communication programs, product/services and channel enhancements/integration points
Proactively identify opportunities to improve execution efficiency and accuracy
The ideal candidate will have the following experience and skills:
Solid working knowledge with statistical/data analysis tools, including SAS, SQL, R, Python
Experience with working in both cloud and on-prem data environments
Work experience to create effective visualizations, reports and dashboards such as Tableau, Power BI, SAS Visual Studio, R
Strong grasp of Marketing and Business KPIs across physical and digital channels
Working ability to manage ambiguous, complex requirements with innovative and creative thinking
Numerate and comfortable with financial calculations and building business cases
Strong analytical aptitude with 5+ years of work experience in data and analytics role
An undergraduate/masters level background in an analytical discipline
Work experience in Business Analytics, Marketing, Digital Marketing an asset
(7) https://jobs.fdu.edu/postings/10965
Institutional Research Analyst — Vancouver
Fairleigh Dickinson University
Vancouver BC
$70,000 – $90,000
PRINCIPAL DUTIES :
- Develop, update, and perform quality assurance on institutional reports using data visualization techniques to track and present key performance indicators.
- Develop and maintain internal student information datasets and dashboard reports, respond to internal data requests, and update and disseminate reports used for institutional reporting, planning and accountability.
- Develop and maintain survey guidance and guidelines for use by the campus community; assist with survey tool development, implementation, and analysis.
- Design and implement data collection and interpretation methodologies to support evaluation of and decision making in program assessment, regulatory compliance, and program development.
- Maintain student career outcome and satisfaction databases/dashboard and generate reports as requested.
Required Qualifications:
Bachelor’s degree and Master’s degree in such fields preferred.
Three or more years of demonstrated success in institutional research, business analytics, enrollment management, financial aid, or another data-driven administrative or information management office.
Substantial experience using statistical analysis software and data visualization applications including Tableau and Tableau Prep, R for Statistics, MS Excel, and MS Power BI. Examples of statistical analyses and/or dashboards will be required.
Experience with enterprise data management and quality assurance processes (Ellucian Colleague preferred) or statistical software (e.g., SAS , SPSS , STATA , R for Statistics, Tableau Prep) required.
Experience creating, defining, coding and documenting data automation processes using stages, record types, and validation rules for quality control checks of data.
Knowledge of survey research processes and design platforms (Qualtrics, Survey Monkey, etc.).
(8) https://jobpostings.alberta.ca/job/Edmonton-Manager%2C-Data-Analytics-%26-Monitoring/602840917/
Manager, Data Analytics Monitoring
Alberta, Government of
Edmonton AB
$3,920.66 – $5,276.07/bwk
Posting Date: May 26, 2026
Responsibilities
the Manager, Data Analytics and Monitoring, promotes and develops robust data analytic and statistical methodologies used to identify high risk areas in the health system, and inform the selection of future projects, audits and compliance reviews.
The Manager, Data Analytics and Monitoring, is responsible for providing data analytics expertise and services that contribute to success of the branch’s audit and monitoring functions;
The Manager combines creativity with logical analysis to look for non-obvious patterns and correlations that may indicate non-compliance.
Working collaboratively across the ACAU with audit, clinical advisors and business procedure teams, this role is critical in leading a dynamic data analytics strategy and managing a team of highly specialized data analysts.
Qualifications
University graduation, or supplemented by four years of related experience.
- Demonstrated leadership experience.
- Knowledge of the Alberta Health Care Insurance Plan, healthcare billing and physician claims.
- Ability to apply knowledge of data analysis and statistics in a range of contexts.
- Experience with R, SAS, or other analytic tools.
- Knowledge of PPHS data (claim and non-claim data) an asset.
- Understanding of the principles of Fraud Waste and Abuse.
- Ability to make sound decisions in a timely manner in line with existing policies and legislation and in consideration of relevant information.
- Working knowledge of applicable legislation including: Alberta Health Care Insurance Act and Regulations, Schedule of Medical Benefits, Claims for Benefits Regulations, and the Health Information Act.
(9) https://jobs.scotiabank.com/job/Toronto-Marketing-Campaign-Operations-Manager-ON-M5C2T6/601182317/
Marketing Campaign Operations Manager Job Details | Scotiabank
Scotiabank
Toronto ON
Is this role right for you? In this role, you will:
Lead offer configuration and design for mass and targeted marketing campaigns on a vendor managed offer management platform (Zafin). This includes offer constructions, set up fulfilment payout criteria, monitoring on offer performance, management of customer inquiries and investigations around offer payouts.
Partner with stakeholders across Campaign Execution, Marketing, Business Product Lines, Technology, QA, channel partners in cross functional agile teams to configure, test, and deploy offers in market.
Define and maintain offer design standards, reusable templates, naming conventions, and governance controls to enable scalable, consistent execution across products and offer types.
Monitor in-market offer enrollment / payout performance and operational health of offers (e.g., configuration defects, incident trends, fulfilment exceptions); support issue triage/escalation and dispute resolution, and implement corrective actions to protect customer experience.
Identify and support process and operational efficiency opportunities by optimizing technology, centralizing core processes, and re-engineering workflows (e.g., intake, testing, release, and reporting).
We’d love to work with you if you have:
5+ years of related experience needed, preferably within marketing operations or marketing analytics support
Demonstrated experience configuring and designing offers for mass and targeted marketing campaigns using offer management/decisioning tools (e.g., Zafin zPlatform or similar tools like Salesforce offer management). Direct experience with Zafin tooling is preferred.
Experience in campaign execution / marketing operations dealing with offer / incentive management (eligibility, fulfilment, customer communications).
Working knowledge of relational databases and SQL; experience with large data sets and tools/environments such as DB2, SAS, Python, and/or Google Cloud Platform is an asset.
Hands-on experience supporting testing (QA/UAT) and release readiness, including test case creation, defect triage, and validation of fulfilment outcomes.
Senior Data Analyst, Indigenous Wellness
Providence Health Care
Vancouver BC
$38.88 – $55.89/hr
In this role, you will:
Lead the design, maintenance, and enhancement of data systems, reporting tools, and databases
Analyze and manage health care data to support evaluation, research, and quality improvement initiatives
Develop reports, dashboards, visualizations, and presentations for leadership and stakeholders
Ensure data quality, integrity, privacy, and compliance with Indigenous data governance principles
Support continuous improvement through data analysis, reporting, and system enhancements
Promote a safe, respectful, and inclusive working environment
Perform other related duties as assigned.
What You Bring
Bachelor’s Degree.
Minimum of five (5) years’ recent related experience with data modelling or data visualization and managing and working with large complex datasets (data extraction, cleaning, merging, analysis).
Experience with Indigenous health data, IDG principles and culturally safe data practices.
Knowledge of data administration and management functions (collection, analysis, distribution etc.), with attention to security and confidentiality.
Knowledge of modern database and information system technologies.
Demonstrated ability to work with large data sets and extrapolate conclusions from large data sets and multiple data sources.
Demonstrated high proficiency in MS Office (Excel, Access, Word etc.) and statistical software (e.g., R, SAS or SPSS); demonstrated ability to work with SQL; demonstrated ability to work with data analytic/visualization tools (e.g., Power BI, Tableau and RShiny).
Experience working with both qualitative and quantitative data an asset.
Excellent oral and written communication, organizational, multi-tasking and problem-solving skills.
Ability to teach, coach and mentor others.
Strong interpersonal relationship management skills, a team player with a client/user orientation.
