2026-06-13 Data Analysis Jobs
Research Assistant 2
McGill
Montréal QC
End Date: July 27, 2026
Position Summary:
Assist in participant recruitment and data acquisition, as well as manage day-to-day operations for a new study launched in September 2025
Assist in data management and cleaning using statistical software (Stata, SAS, and/or R)
Perform statistical analyses for studies led by the Division of Cancer Epidemiology
Produce written/tabular/visual materials for research reports/manuscripts/presentations
Qualifications:
Master’s degree in epidemiology
Proficiency with advanced methods of statistical analysis of epidemiologic data (essential)
Proficiency with common statistical software (Stata, SAS, and/or R) (essential)
General knowledge of common epidemiological and clinical study designs (randomized controlled trials, cohort studies, case-control studies, cross-sectional studies) (essential)
Experience in cancer research (preferred)
Senior Decision Scientist
Canadian Tire
Oakville ON
$64,000 – $106,000
What you’ll do:
Lead machine learning projects that drive origination, credit limit and collection strategies
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
Create customer segmentation schemes that provide strategy teams with key customer insights
Collaborate closely with internal customers, retail-side partners and subject matter experts to understand data, interpret results, translate business needs and synthesize solutions
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
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
Analyst, eComm Fraud Strategy
Canadian Tire
Oakville ON
$53,000 – $88,000
End Date: June 23, 2026
What you’ll do:
Analyze high-risk E-Commerce orders and chargebacks and share feedback on fraud trends to mitigate future fraud risk
Complete ad-hoc analysis involving large data sets and correlate actionable insights and operational improvements
Forecast future Cancellations and Chargeback levels
Manage the intake, triage and resolution of inbound E-Commerce fraud inquiries and incidents
Fraud detection support/backup for Triangle Rewards program
What you bring:
Desire to join an agile, and fun team!
Passion for data and problem solving and an entrepreneurial and goal driven mindset
Strong analytical skills with the ability to tell a compelling story with data
Strong skillset across the MS Office Suite, including a intermediate to advanced knowledge of Excel
Proficient knowledge of one or more programming languages (SAS, SQL and Python) is essential
Prior exposure to payments, disputes and chargebacks processes
Prior exposure to fraud detection platforms would be an asset
Senior Analyst, Customer Insights Analytics
Canadian Tire
Oakville ON
$64,000 – $106,000
End Date: June 19, 2026
What you’ll do:
Analyze customer and financial data to uncover trends and opportunities.
Deliver performance analytics and insights for strategic initiatives, including loyalty programs.
Create compelling reports and visualizations that influence decision-making across the organization.
Apply statistical techniques (e.g., hypothesis testing, clustering, segmentation) to enhance insights.
Partner with data teams to improve data infrastructure and reporting capabilities.
What you bring:
Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics).
3+ years of experience in data analytics.
Retail or banking industry experience is an asset.
Strong data skills: SQL, Python, SAS (certification is a plus).
Expertise data visualization and experience with BI tools.
Experience with big data technologies (Hadoop) and familiarity with cloud platforms (Azure preferred)
Ability to translate complex data into clear, actionable insights.
Knowledge of statistical modeling and customer analytics techniques.
Excellent communication and collaboration skills.
Comfort with emerging technologies and enthusiasm for AI-driven solutions.
(5) https://jobs.dayforcehcm.com/en-US/heartland/CANDIDATEPORTAL/jobs/3490
Senior Data Analyst
Heartland Farm Mutual
Waterloo ON
$76,000 – $114,000
What you will do…
Design, develop, and maintain ETL programs to our Analytics databases.
Create and manage robust, scalable data marts including transactional, in force, new business, quote, claims, billing, and experience datasets.
Develop processes to ensure data integrity, quality, and availability across all Actuarial databases.
Present findings clearly, using appropriate data visualization and narrative storytelling techniques.
Assist with model input/output processes and ensure integration with actuarial tools
Recommend and implement improvements to existing data workflows, tools, and systems.
What you will bring…
University degree (Computer Science, Data Science or a related discipline).
A minimum of 2 years experience in a data analysis role, preferably with P&C insurance exposure or a significant educational background in a related discipline.
Proficiency with SAS, SQL and Database Design concepts.
Knowledge of Guidewire and P&C insurance is highly preferred.
Manager, Business Performance Insights, Scotia iTRADE Job Details | Scotiabank
Scotiabank
Toronto ON
Accountabilities
- Play a central role in portfolio performance management, including dynamic forecasting, annual planning, monthly business performance analysis, portfolio cost and expense re allocation, and review of monthly and quarterly results for the Direct Investing business.
- Partner closely with Product Management by delivering actionable insights on campaign performance, revenue sizing for new initiatives, and analysis of the financial impact of potential pricing or product changes.
- Monitor, assess, and evaluate portfolio trends and KPIs, providing ongoing insights to track performance against annual portfolio growth targets.
- Ensure strong data integrity, governance, and controllership, adhering to regulatory requirements, internal policies, and established processes.
- Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
- Champions a high-performance environment and contributes to an inclusive work environment.
- Enterprise level ownership of iTRADE business performance.
- Drive a high performance, data driven, and collaborative culture.
Education, Experience and Other Information:
- University degree in Business, Commerce, Analytics, Statistics,
- 3+ years’ experience in sales analytics, performance management, forecasting, or planning within financial services.
- Strong analytical, problem solving, and communication skills, with the ability to translate data into actionable business insights.
- Advanced proficiency in Microsoft Excel, PowerPoint, Word, and Access.
- Working experience with SAS, SQL, and other analytical or data tools.
Manager – Analytics Reporting
BMO Financial Group
Toronto ON
$69,000 – $129,000
Application Deadline: 06/28/2026
Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualization techniques.
Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
Develops data visualizations of “large” amounts of data that facilitate the intuitive presentation of data to decision makers.
Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
Qualifications:
Typically between 5 – 7 years of relevant experience and post-secondary degree in related field of study Advanced knowledge and understanding of key financial products and P&L related processes.
Strong proficiency with Excel, programming knowledge in VBA and SQL, and experience with database maintenance and navigation
Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Power BI, Tableau, SQL, SAS, R, Python, MATLAB, SPSS – In-depth.
Experience applying AI and automation tools (e.g., Microsoft Copilot, RPA) to drive operational efficiencies and improve data processes.
Strong prompt‑engineering skills and ability to translate business needs into effective AI-enabled solutions.
Ability to coach and enable others in the effective use of AI tools.
Institutional Analyst
Brock University
St Catharines ON
$62,115 – $99,384
Post End Date: June 26, 2026
The Institutional Analyst will:
Produce accurate and timely enrolment reports, dashboards and analytical summaries;
Analyze enrolment trends across programs, cohorts, and student populations;
Apply governance‑approved definitions and standards in all reporting outputs;
Document enrolment metrics, methodologies, and analytical assumptions;
Ensure analytical work is reproducible and transparent;
Contribute to enrolment forecasting and long‑range planning activities;
Clearly communicate modelling assumptions, limitations, and potential impacts;
Maintain comprehensive documentation of forecasting models and assumptions;
Key Skills and Experience:
Degree in a related analytical and/or research discipline
Experience in data analysis, institutional planning, or performance measurement;
Proficiency in Microsoft Excel, relational databases, and data visualization tools, including Tableau or Power BI;
Experience with statistical analysis software (e.g., SPSS, SAS, R, or Python) and data querying techniques (e.g., SQL);
Advanced ability to analyze complex data sets and translate findings into actionable insights;
Strong problem-solving skills with a focus on continuous improvement and process optimization;
Detail-oriented, ensuring data integrity and accuracy in all reports and analyses.
Manager, IFRS 9 Modelling Analytics (contract) Job Details | Scotiabank
Scotiabank
Toronto ON
Is this role right for you? In this role, you will:
Develop credit risk models for the IB retail and small business portfolios that predict probability of default or loss given default for IFRS 9 provisioning and financial reporting
Document all models and processes developed and work with the model validation team to ensure timely and satisfactory validation
Support the integration of new models into IFRS 9 and Enterprise-Wide Stress Testing analytics and reporting processes
Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
Do you have the skills that will enable you to succeed? We’d love to work with you if you have:
Advanced degree in Economics, Finance, Statistics
Predictive modelling or machine learning, statistical, and programming skills gained through work experience, a graduate degree, or other advanced training in a quantitative discipline
Knowledge about credit risk models/scorecards and IFRS 9 modelling is an asset
Highly proficient in one or more programming languages (Python, R, SAS etc.), SQL and multiple environments (Unix, Linux and Windows)
Experience with version control software such as Git is required
Experience with cloud platform such as GCP and Azure is an asset
Experience with Power BI and Tableau for data visualization and interactive dashboards is an asset
Senior Analyst, Data request Services
Job Type: Contract
CIHI
Location: Ottawa, Toronto, Ontario, Canada
$79,277.00 – $93,267.00/year
Date posted: June 12, 2026
What you’ll do
- Work with the Lead to manage CIHI data, ensuring it is fit for purpose, and to support the production of key deliverables for internal and external dissemination. Key deliverables include relevant documentation, data tables, custom data requests, and topical analytical reports.
- Conduct data management and analytical activities including writing and updating statistical code required for the development, computation, analysis, and/or verification of key deliverables. This may include support for the release of data and information through private and public reporting tools, including leading the execution of test strategies / test cases to ensure accuracy of the reported results in adherence with CIHI’s corporate information quality framework.
- Maintain detailed knowledge of data, tools, and analytical techniques used to produce standard and ad-hoc outputs.
- Conduct environmental scans and literature reviews to support the development of reports, statistics, and indicators.
- Contribute to the development of materials (e.g., analytical reports, methodology or technical notes, presentations, educational, media, etc.) for dissemination of findings and knowledge translation, and reviews written products for analytic accuracy and quality.
- Maintain current knowledge of CIHI’s data holdings, trends in health services research and health policy, and stakeholder information needs to support current work and contribute to the development of new analytic proposals.
What you’ll bring to the table
- Undergraduate degree in Health Information, Statistics, Data Science,
- 3–5 years experience working with relational databases / large datasets, including manipulating, maintaining, and preparing data and presenting analyses and reports for different audiences.
- Experience with CIHI or other health-related data sources.
- Advanced proficiency with data manipulation and statistical software, such as Python, R, or equivalent tools.
- Proficiency in use of Microsoft Office applications.
- Proven experience working with large relational datasets and performing rigorous data quality checks.
- Familiarity with cloud analytics, reproducible workflow tools and version control (Git).
- Experience producing stakeholder facing data visualizations.
- Analytical rigor, methodological soundness and quality focus.
- Adaptability and commitment to continuous learning (new tools/techniques).
- Knowledge of the health care system.
- AI, Health Data Analytics, SAS, SQL, 政府与银行 offer, 数据分析师, 新移民, 零基础
