2026-08-22 Data Analyst Jobs
Manager, Real Estate Secured Lending Acquisition
BMO Financial Group
Toronto ON
$69,000 – $129,000
Application Deadline: 08/27/2026
Key Responsibilities
Contribute to the design and implementation of end‑to‑end acquisition strategies, including underwriting criteria, pricing logic, risk segmentation, treatment rules, and automation pathways.
Assist in building and refining decision‑engine logic (decision trees, rule sets,)
Apply secured‑lending risk tools—including credit scores, automated valuation models (AVMs), collateral risk tiers, and early‑warning indicators—into acquisition
Conduct analyses to identify opportunities to improve risk differentiation, funnel efficiency, pricing
Support structured test‑and‑learn initiatives for alternative offers, underwriting pathways, automation logic, documentation requirements, and referral triggers.
Monitor acquisition funnel metrics—application mix, approval quality, funding ratios, turnaround times, documentation exceptions, collateral trends, and competitive dynamics.
Prepare regular reporting packages for senior leaders summarizing funnel performance
Ensure acquisition strategies and changes comply with credit policy, mortgage regulatory requirements
Support audit, model‑validation, and regulatory review activities as required.
Qualifications & Experience
3 to 5+ years of experience in Real Estate Secured Lending, mortgage underwriting, credit strategy, originations, or acquisition‑focused risk management.
Strong foundational understanding of mortgage underwriting principles, borrower risk assessment, collateral valuation, and secured‑lending regulatory frameworks.
Experience using or interpreting models such as credit scores, AVMs, pricing/segmentation models, or early‑warning indicators.
Working proficiency with decision‑tree platforms (e.g., SAS, FICO, or equivalent).
Familiarity with MIS, funnel analytics, credit decisioning systems, or originations platforms.
Manager, Sales Force Analytics
BMO Financial Group
Toronto ON
$69,000 – $129,000
Application Deadline: 08/29/2026
Key Responsibilities
Support target setting activities by developing analytical inputs, validating assumptions, assessing distribution fairness, and preparing scenarios for business review.
Produce Financial Planner performance analytics, including YTD / in-month trends, plan vs. actual performance, product mix, productivity, portfolio, tenure, and regional comparisons.
Translate business needs into analytical requirements, reporting logic, and dashboard specifications.
Design, develop, and maintain recurring reports, dashboards, and decision-support tools
Identify emerging issues, trends, gaps, and opportunities through analysis;
Document methodologies, business rules, data sources, operating procedures, and change impacts for key analytics and reporting processes.
Qualifications
Post-secondary degree or advanced degree considered an asset.
2–3+ years of experience in data manipulation, analytics, business intelligence, performance reporting, sales analytics, finance analytics, or compensation analytics.
Familiarity with Financial Planning, Investments, sales force performance , target setting, scorecards
Strong technical capability in SQL, SAS, Excel, Power BI, SSRS, Python, Tableau,
Ability to translate complex data and business rules into clear insights, recommendations, reporting logic, and stakeholder-ready narratives.
Campaign Analytics Manager
BMO Financial Group
Toronto ON
$69,000 – $129,000
Application Deadline: 09/09/2026
Responsibilities
Identifies emerging issues and trends to inform decision-making.
Recommends and implements solutions based on analysis of issues and implications for the business
Designs, develops, and implements innovative analytical solutions.
Designs and produces regular and ad-hoc reports, and dashboards.
Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
Cleanses, manipulates, and transforms data through programming / scripting
Automates validation tests to improve quality and efficiency of the validation process.
Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
Qualifications:
Typically between 5 – 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Knowledge and experience in data preparation, data analysis, and statistical tool sets including Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, or SPSS
Deep knowledge and technical proficiency gained through extensive education and business experience.
Junior Analyst
Canadian Tire
Oakville ON
End Date: September 5, 2026
What you will do:
Manage Audit, Compliance and Enterprise Risk Management requirements for Credit Risk and Banking Operations.
Deliver accurate, timely reports on portfolio performance and risk monitoring processes.
Coordinate updates of Operating Directives and Standard Operating Procedures.
Provide operational support to Credit Risk in areas such as TSYS, New Account Processing, Credit Bureau Accessing/Reporting, and Bankcard Account Management.
Monitor profile approvals of Credit Risk systems and data access.
Provide disaster recovery and business continuity support.
What you bring:
Post-Secondary Education (Mathematics, Statistics, Business, or quantitative discipline)
Outcome focused, critical thinkers with the ability to analyze and visualize,
Collaborative team players with superior influencing skills, who build relationships easily across various stakeholder groups to move initiatives forward.
Computer experience, specifically with the Microsoft Office Suite – Excel, Word, PowerPoint.
Programming knowledge SAS and/or SQL
Knowledge of Risk Management and Credit Cards.
Knowledge of Credit Bureau facilities.
Knowledge of TSYS system and capabilities.
Business Intel Engineer, WW Promotions and Events Data and Insights
Amazon Canada
Vancouver BC
$76,400 – $127,600
Key job responsibilities
- Support business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate Insights and drive growth discussions with Product teams.
- Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improving back-end data sources for increased accuracy and simplicity.
- Recognize and adopt best practices in reporting, analyses, data quality and modeling.
development, machine learning models, and business analytics across the organization.
Qualifications
– 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
– 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
– Bachelor’s degree or Master’s degree, or 2+ years of Amazon RME (BB/3P)
– Experience with data modeling, warehousing and building ETL pipelines
– Experience in Statistical Analysis packages such as R, SAS and Matlab
– Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
– Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
– Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Business Intelligence Engineer II, SCOT – Fulfillment Optimization (FO)
Amazon Canada
Vancouver BC
$76,400 – $127,600
Key job responsibilities
– The ideal candidate is a highly analytical and critical thinker with advanced problem-solving, data mining, and scripting (Python or Scala) skills.
– They enjoy collaborating with top economists, research scientists, data engineers, product managers and software developers to make decisions for Amazon’s retail and operations teams.
– The candidate will be responsible for metrics, dashboards, and measurement across Promise platforms and fulfillment signal products to help improve evaluate inventory, fulfillment capabilities,
– Your work will have a direct impact on Amazon’s business and customer promise.
Qualifications
– 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
– Experience with data visualization using Tableau, Quicksight, or similar tools
– Experience with data modeling, warehousing and building ETL pipelines
– Experience in Statistical Analysis packages such as R, SAS and Matlab
– Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
– Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
(7) https://bccfe.ca/careers/statistician/
Statistician
BC Centre for Excellence in HIV / AIDS
Vancouver BC
$63,484 – $79,355
What You Will Do
The Statistician is responsible for independent and collaborative analyses, interpretation and reporting of HIV data collected in the provincial HIV registry. This role provides statistical support to medical fellows, physicians, researchers and students on HIV research related projects, supporting the development of data collection, providing analytical support, performing quantitative analyses, and collaborating on scientific papers, abstracts and grants.
What You Bring
Master’s degree and five (5) years of related experience, including data analysis, and writing statistical analysis, plans and reports.
Advanced knowledge of descriptive statistics, statistical inference and modelling.
Knowledge of database management principles.
Strong analytical, problem solving and system analysis skills including the ability to comprehend complex issues and related data/information and present information in concise meaningful ways.
Ability to develop complex and customized queries and reports
Demonstrated knowledge of statistical software packages including SAS and R.
Ability to synthesize data and present results effectively to various audiences.
Ability to perform complex statistical analyses based on the design of study.
Advanced knowledge of Microsoft Office Suite.
Modelling/Forecasting Analyst
TD Bank
Toronto ON
$69,700 – $98,400
End Date: September 4, 2026
Job Description:
Execute validation testing plan to validate different Liquidity Risk Management (LRM) models, according to the enterprise model validation procedures.
Review US LRM’s assessment of the measurement choices / definition and liquidity assumptions or business assumptions / decisions adopted by LRM model and Business Requirement Document (BRD) for model implementation to assess the consistency between BRD and US LRM approved approach.
Assess the data quality and input control / governance process to ensure the acceptance of the model inputs.
Develop a comprehensive issue log for questions / limitations identified
Support senior management to prepare responses to requests from both Canadian and U.S. regulators, internal and external audit in their review / audit of risk models and vetting / validation process and procedures.
Job Requirements:
Advanced quantitative skills with post-secondary degree.
CFA / FRM charter holder or candidate preferred
Experience developing AI agent workflows to increase productivity is considered an asset.
Strong technical knowledge and proficiency in programing languages, such as Python, SQL, SAS, and VBA. Familiarity with JSON and Scala is an asset.
Hands-on experience in developing and implementing statistical forecasting models (e.g., time-series model).
Solid knowledge in financial products / portfolios regarding cash flow patterns, key factors impacting cash flows, and their pricing / valuation approach. Knowledge in financial / regulatory reporting in liquidity risk management is a plus.
Data Scientist
Winnipeg, City of
Winnipeg MB
Closing Date: Friday, September 18th, 2026
As a Data Scientist you will:
Conduct large-scale and targeted statistical data analysis to identify trends, and for reporting
Contribute subject matter expertise to promote a data culture within the organization and enhance organization-wide capacity for accurately collecting, analyzing, and acting on data.
Your education and qualifications include:
Bachelor’s Degree in Computer Science, Statistics or related field.
Certificate in Business Intelligence is an asset.
Master’s Degree is an asset.
Minimum 48 months progressive experience in:
– SQL, RStudio, and/or Python
– Statistical Analysis System (SAS), Statistical Package for Social Sciences (SPSS),
– Data analytics, interpretation of data and statistical modelling
Minimum 48 months experience with databases, performing Extract/Transform/Load (ETL) from various data sources, and data warehousing integration including organizing, compiling, manipulating, analyzing and summarizing large datasets.
Experience with Artificial Intelligence, Machine Learning or Neural Networks is an asset.
Knowledgeable in utilizing data repositories and integrating open-source programming and tools to address specific requirements.
Practical experience with graphic design principles for Power BI dashboard creation.
Skilled in using business intelligence platforms and tools such as Power BI SAS, SPSS, Power Query, and Data Analysis Expressions (DAX).
Proficient in Geographic Information Systems (GIS),
(10) https://jobs.toronto.ca/jobsatcity/job/Toronto-HEALTH-INFORMATION-ANALYST-ON-M/605234517/
HEALTH INFORMATION ANALYST
City of Toronto
Posting Period: 17-Aug-2026 to 31-Aug-2026
Major Responsibilities:
Retrieves, organizes, analyzes, interprets and reports data using appropriate methods to support timely analysis and reporting for operational planning and organizational performance management initiatives,
Designs new health information systems/databases and coordinates the maintenance of existing ones, including extracting data, deriving new variables, and combining data from multiple databases to create relevant datasets for analysis.
Develop documentation and procedures for databases and health information systems.
Writes and executes computer programs for data extraction, and data set creation and analysis by using statistical software packages (e.g. SAS &/or SPSS &/or Stata, R, ArcGIS programs, etc.).
Prepares and disseminates health status information in various forms including reports, charts, graphs,
Responds to enquiries regarding health status data and related information systems. This includes defining data needs and selecting methods and procedures for data collection and data analysis.
Liaises with City divisions and external agencies to obtain and/or share health-related data.
Key Qualifications:
University degree in Computer Science, Health Sciences, Statistics
Considerable experience using statistical software to conduct analyses of large health datasets with proficiency in at least one of SAS, SPSS, R or Stata.
Experience working with health information systems/databases (e.g. HCD-ISCIS, TCHIS, CCM) and/or standard population health data.
Experience using data visualization tools (e.g., Tableau)
Knowledge of foundational statistical methods.
Familiarity with current public health issues, epidemiological concepts, trend analysis and forecasting techniques.
Proficient in Word, Excel, PowerPoint and other software packages relevant to the analysis and presentation of population health.
