Senior Analyst, Medical Affairs (Fixed Term 10-Month Contract)
Johnson & Johnson Inc.
Toronto ON
$90,300 – $140,300
Job Description
The Senior Analyst, Medical Affairs, plays a strategic role in transforming Medical Affairs through insights and analytics. This role involves identifying requirements, defining processes, and driving the strategy recommendations and the development of tools and technologies for data collection, analysis, and insights generation-leveraging advanced analytics, Gen AI, and other emerging technologies. The successful candidate will drive the development of the medical insights and analytics strategy in line with the business objectives, own the end-to-end delivery, measure the impact of insights on operational decision-making, and support the ongoing maintenance and enhancement of digital products aligned with business objectives and regulatory standards.
Leads the design, development, and deployment of digital tools and platforms (e.g., dashboards, AI models, Gen AI solutions) to facilitate efficient data collection, transformation, and analysis.
Qualifications
Bachelor’s degree in Business, Data Science, Information Technology, or a related field.
5+ years of experience in insights, analytics, or digital product management within healthcare or pharmaceutical sectors.
Proven experience managing digital products, processes, and tools to generate impactful insights.
Reporting and data analysis experience using analytics tools to deliver insights (e.g. Qlik, Power BI, Tableau, Cognos)
Experience with AI, NLP, and Gen AI platforms and their application within a pharmaceutical, healthcare industry or other regulated industries.
Hands-on expertise with data extraction, transformation, and loading (ETL) tools, such as SQL or Dataiku.
Working knowledge of Project Management Lifecycle Methodologies (Agile, waterfall).
Knowledge of enterprise technology platforms and tools: Veeva CRM/Salesforce.com, SharePoint, Veeva Vault.
(2) https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst–Wealth-Reporting-Analytics—Automation_R260019335
Senior Analyst, Wealth Reporting Analytics Automation
BMO Financial Group
Toronto ON
$56,000 – $103,500
Application Deadline: 08/16/2026
Description
Participates in the design, implementation and management of new analytics & reporting solutions.
Builds reports (regular and ad hoc) and visualization dashboards to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
Monitors and tracks dashboard/report performance, user acceptance testing, and addresses any issues.
Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
Documents and maintain operational procedures and processes relating to analytical and reporting processes.
Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
Qualifications:
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.
Knowledge and experience in data preparation, data analysis, ETLs, and statistical tool sets – SQL, Python, and SAS – In-depth.
Knowledge and experience in visualization tools, particularly Power BI
(3)https://canadiantirecorporation.wd3.myworkdayjobs.com/Enterprise_External_Careers_Site/job/Oakville-ON/Data-Scientist_JR163234
Data Scientist
Canadian Tire
Oakville ON
$53,000 – $88,000
End Date: August 21, 2026
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
Regularly review and document the predictive effectiveness of various statistical models
Create customer segmentation schemes that provide strategy teams with key customer insights
Deliver effective presentations of key design elements and model build results to senior management
Work on related tasks and ad hoc activities to support business objectives
What you bring:
University degree and 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
Proficient in SQL, Python and, ideally, SAS programming language
Experience with machine learning libraries like Pandas, XGBoost, scikit-learn, LightGBM
Hands-on exposure to modeling platforms like Enterprise Miner, Analytics Workbench or SPSS Modeler is a plus
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
(4) https://td.wd3.myworkdayjobs.com/TD_Bank_Careers/job/Toronto-Ontario/Manager–Physical-Risk-Measurement–5278-_R_1503733
Manager, Physical Risk Measurement (5278)
TD Bank
Toronto ON
$96,900 – $136,800
End Date: August 21, 202
Key Accountabilities
Develop physical risk methodologies for relevant acute and chronic hazards, including flood, wildfire, hurricane, and extreme heat.
Develop quantitative approaches to translate physical risk impacts into financial and credit risk measures, including collateral value, portfolio loss, probability of default (PD), loss given default (LGD), and expected credit loss (ECL).
Integrate and evaluate third-party climate and catastrophe models, including supporting data ingestion, model benchmarking, sensitivity analysis, and assessment of assumptions and limitations.
Develop scalable analytical workflows and data pipelines using tools such as Databricks, Python, R, SAS, and Power BI.
Prepare and maintain model documentation, methodology papers, controls, and supporting evidence in accordance with model risk management, audit, and regulatory requirements.
Support independent model validation by responding to challenges, completing sensitivity testing, and addressing validation findings, while preserving validation independence.
Contribute to climate risk regulatory reporting and remediation, including activities related to OSFI Guideline B-15 and other applicable requirements.
Required Qualifications, Education & Experience
Master’s degree or PhD in a relevant quantitative discipline, with at least three years of related professional experience; or a bachelor’s degree in a relevant quantitative discipline, with at least five years of related professional experience.
Proficiency in Python, R, SAS, or similar programming languages.
Experience with geospatial analysis, large datasets, and quantitative model development.
Experience with catastrophe or physical climate risk models covering flood, wildfire, hurricane, extreme heat, or other climate hazards.
Knowledge of credit risk, stress testing, expected credit loss, or capital assessment.
Familiarity with climate scenarios, Databricks, Power BI, and model governance.
Knowledge of OSFI Guideline B-15
(5) https://td.wd3.myworkdayjobs.com/TD_Bank_Careers/job/Toronto-Ontario/Senior-Business-Intelligence-Analyst_R_1500836
Senior Business Intelligence Analyst
TD Bank
Toronto ON
$81,600 – $115,200
End Date: August 14, 2026
Key Accountabilities include:
As a member of the Retail Risk team, you will support the Small Business Banking team through comprehensive reporting and analytics.
Execute with excellence on key programs / plans and data requests accurately
Develop analysis and dashboards to illustrate business trends and identify areas of opportunities
Continuously enhance knowledge /expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques
Establish effective relationships across multiple businesses, technology partners, program and project managers etc.
Work in partnership with various functional areas to provide day-to-day support and delivery of analytics
Support a positive work environment that promotes service to the business, quality, innovation and teamwork; ensure timely communication of issues/points of interest
Identify and recommend opportunities to enhance productivity, effectiveness, and operational efficiency
Job Requirements:
Degree in Computer Science, Math, statistics, engineering, or other quantitative discipline
5+ years relevant experience working with Python, SQL Server, Advanced SAS, and Excel
3+ years relevant experience with visualization tools such as Power BI, Tableau
Knowledge of Akora platforms and data accessing methods considered an asset
Experience with Spark, Scala, Hive, and Impala is an asset
Retail Banking Product knowledge and experience is an asset
(6) https://careers.cmhc-schl.gc.ca/job/Ottawa-Analyst%2C-Business-Systems/605029617/
Analyst, Business Systems
CMHC
Calgary AB
$62,393.30 – $77,991.60
What you’ll do:
Provides analytical support for the creation of reports and quality control checks.
Performs data output and statistical analysis.
Performs data quality verification activities to ensure system outputs.
Provides expertise on statistical reporting tools and applications.
Performs a review of access to business systems on a regular basis.
Administers and maintains access to all business systems on a regular basis.
Responds to data requests from clients.
What you should have:
A post-secondary and A bachelor degree will be an additional asset.
A minimum of three years of relevant experience in statistical analysis.
Detailed knowledge and experience in programming languages for data manipulation and analysis such as R or Python or SAS.
Good oral and written communication skills and interpersonal skills (tact, judgment and diplomacy).
Qualitative and quantitative analysis skills.
(7) https://jobpostings.alberta.ca/job/Edmonton-Senior-Economist/605015817/
Senior Economist
Alberta, Government of
Edmonton AB
$3,148.20 – $4,126.82/bwk
Posting Date: Aug 7, 2026
In this role, you will have the opportunity to:
Lead the development of current-state economic analysis that provides the necessary baseline economic information in support of strategic decision-making and program and policy development.
Lead the completion of economic impact analyses, economic modelling, cash flow/financial and business case modelling that inform strategic decision making and policy recommendations.
Provide expert advice and assistance on the use and interpretation of economic/industry data various financial, industry and economic databases, economic models, statistical methods, and analytical approaches.
The ideal candidate will demonstrate:
Economic and technical expertise and understanding of the structure and performance of the Alberta economy and an understanding of the Canadian and global economies.
Experience in leading and developing economic studies.
Experience in developing and using complex economic models (e.g. input-output models, structural models, etc.) and their application to inform decisions to support Alberta job creators and encourage investment.
Thorough knowledge of a range of statistical and modelling techniques.
Advanced experience using programming languages such as R, Python, or SAS and modern data platforms.
Experience developing data visualizations and dashboards using tools such as Power BI, R Shiny, or Python.
Extensive experience in using Statistics Canada data.
(8) https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager–Sales-Force-Analytics_R260021278-1
Manager, Sales Force Analytics
BMO Financial Group
Toronto ON
$69,000 – $129,000
Application Deadline: 08/29/2026
Key Responsibilities
Act as a trusted analytics advisor for Financial Planner
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.
Design, develop, and maintain recurring reports, dashboards, and decision-support tools using appropriate analytics and visualization tools.
Integrate data from multiple sources to streamline reporting, automate manual processes, and improve reporting consistency and efficiency.
Perform data validation, reconciliation, quality checks, and user acceptance testing to ensure reporting outputs are accurate, reliable, and fit for purpose.
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 management, target setting, scorecards, or incentive compensation is a strong asset.
Strong technical capability in SQL, SAS, Excel, Power BI, SSRS, Python, Tableau, or similar analytics / reporting tools.
Ability to translate complex data and business rules into clear insights, recommendations, reporting logic, and stakeholder-ready narratives.
Demonstrated ability to promote reporting automation, self-serve analytics, and data-driven decision-making.
Experience with target allocation, compensation modelling, scorecard design, scenario analysis, and business impact assessment.
(9) https://tre.tbe.taleo.net/tre01/ats/careers/v2/viewRequisition?org=SIMOFRAS&cws=37&rid=7278
Quantitative Analyst
Simon Fraser University
Burnaby BC
$79,884 – $95,287
Closing Date: August 20, 2026
About the Role
The Quantitative Analyst is responsible for the development and delivery of statistical modeling and forecasting, data analysis, and providing assessment information to support strategic planning, decision making, policy development, and business process improvement for Student Services. Acting as a data scientist, the Quantitative Analyst designs research and statistical methodology, provides in-depth data analysis, in-depth statistical analysis, quantitative and qualitative analysis and reporting for Strategic Enrolment Management (SEM) functions. The Quantitative Analyst maintains expertise in all aspects of student records and student success outcomes; assists in the oversight of Business Analysis and Assessment (BAA) reporting infrastructure; and prepares, delivers, and evaluates training on the use of reporting and other software systems. The Quantitative Analyst assists in the development, updating, and management of data and information in the Student Services databases. The role extracts data and information from other internal and external sources to prepare ad hoc and recurring reports and assessments.
Qualifications
Bachelor’s degree in Statistics or a related quantitative science and three years of relevant experience in developing statistical and data analysis and survey methodologies, or an equivalent combination of education, training, and experience.
Excellent knowledge of query and programming languages, and relational databases (e.g. R, Python, SQL, SAS, Stata).
Excellent knowledge of desktop and web-based business intelligence and visual analytics tools (e.g., Tableau, Qlikview).
Knowledge of best practices and principles of student records and student success.
Advanced quantitative problem-solving skills, knowledge of research methodologies, data analysis, and report writing skills.
(10) https://sunnybrook.ca/join-our-team/current-opportunities/?JobId=15402&session=7d27efc684f648429ad7c8240b2dc52c&p=%2fCands%2fJob.aspx#careersIFrame
Data Analyst – Odette Cancer Centre
Sunnybrook
Toronto ON
Date Posted: 8/6/2026
Key responsibilities include:
Managing Cellular Therapy Program databases and registries
Extracting, validating and analyzing clinical, operational and quality data
Supporting FACT-JACIE Accreditation, CIBMTR reporting and other regulatory reporting (if applicable)
Developing dashboards, KPIs and routine reports
Supporting quality improvement, research and program planning initiatives
Collaborating with physicians, nursing, quality, research, transplant coordinators and leadership
Performing data quality audits and ensuring data integrity
Supporting performance measurement and strategic reporting
Qualifications:
Masters degree in Health Sciences, Epidemiology, Biostatistics,
Experience working with clinical databases and electronic medical records
Advanced Excel plus experience with SQL, Power BI, Tableau, R, SAS, or similar analytical tools
Experience in oncology or cellular therapy preferred
Knowledge of clinical research methods, quality improvement and healthcare data standards preferred