2026-10-26 Data analysis Jobs
(1)https://www.bnpparibas.ca/en/jobs/model-validator-credit-risk/
Model Validator – Credit Risk
BNP Paribas
Montréal QC
In detail
Conduct reasoned quantitative reviews of Credit Risk Models, including IFRS9 and Stress Testing,
Support the definition of global modelling convergence across entities to achieve full compliance with
Develop appropriate validation plans in partnership with validation managers to provide effective challenge commensurate with model risk levels.
Produce detailed documentation of the effective challenge process to support committees in their review and decision-making procedures.
Assess ongoing model performance through regular monitoring to ensure continued accuracy and reliability.
Requirements
Graduate degree in a quantitative field (e.g. Finance, Economics, Statistics).
Minimum 3 years of experience validating or developing Credit risk models.
Statistical expertise applied through time series analysis, inference, and probability
Programming proficiency in SAS, R, or Python to execute complex quantitative tasks.
Technical writing skills used to produce high-quality documentation for regulatory and internal review.
Regulatory knowledge of Basel and IFRS9 applied to ensure alignment with industry standards.
Machine learning or AI technique application to enhance modern modeling approaches.
Regulatory interaction experience used when participating in on-site inspection missions.
(2) https://jobs.scotiabank.com/job/Toronto-Manager%2C-Mortgage-Pricing-Analytics-ON-M5H-1H1/605279817/
Manager, Mortgage Pricing Analytics Job Details | Scotiabank
Scotiabank
Toronto ON
Is this role right for you? In this role, you will:
Support the management, configuration and execution of mortgage pricing activities:
- Monitor the competitive landscape, key performance indicators and impact of pricing strategies on growth and profitability
- Quantify, execute and monitor impact of pricing changes
- Manage reporting on the key performance indicators for the mortgage portfolio:
- Deliver business insights by effectively leveraging technical tools including SAS Enterprise Guide, Base SAS, Python and Power BI for all management reporting activities
- Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
- Champion a high performance environment and contributes to an inclusive work environment.
We’d love to work with you if you have:
- Bachelor’s degree ,2+ years of analytics experience
- Knowledge & experience of utilizing tools such as SAS Enterprise Guide, Base SAS, Python, Power BI and Tableau for reporting and analytics
- Knowledge of SQL, and experience of working on enterprise data warehouse platforms and enterprise data lake platforms (DB2/SQL Server/Hadoop)
- Ability to source and interpret data, perform analyses and make informed recommendations
- Good understanding of quantitative analytics and management reporting
- Nice to have: Pricing methodological knowledge including quantification of customer value and price elasticity of demand, Working knowledge of Sales Management and the Retail Sales Process
(3) https://goeasy.talentnest.com/en/posting//241108
Risk Analyst (Credit Risk)
goeasy Ltd.
Mississauga ON
$70,125 – $82,500
What will you be doing?
Conduct guided analytical dives to properly diagnose, document and report on the drivers of unexpected changes to portfolio/origination composition and credit performance across multiple lending channels including retail, online lending and alternative.
Assist Risk and Analytics leadership by supporting the development of risk models for the purposes of origination, account management and collections.
Perform analysis leading to credit strategy optimization, including but not limited to customer risk segmentation development that improves the portfolio’s risk-reward profile.
Maintain a standard set of risk and performance reports that evaluate the overall credit risk of the portfolio.
Conduct sensitivity and scenario analyses to understand the impact of exogenous factors, policy and operational changes on delinquency and charge off levels.
What experience do you have?
Possess a strong knowledge of quantitative methodologies, risk models, and tools.
Demonstrate strong technical knowledge of statistical analysis and modeling techniques.
Hold a University (an advanced degree is desired).
Exhibit superior analytical skills – the ability to understand complex problems, detect trends, and analyze data to develop solutions.
Understand data extraction/mining/modeling tools, including SQL; SAS knowledge.
Communicate complex information and concepts in understandable terms, tailoring messages and content to the intended audience.
Senior Data Analyst (Gaming)
Blazesoft Ltd.
Vaughan ON
Main Responsibilities:
Analyze game economies and metrics to understand their interdependencies
Develop models to forecast the impact of changes on player behavior, retention, and revenue.
Conduct financial performance evaluations, revenue forecasting, and cost optimization analyses.
Track key business metrics to assess the effectiveness of gaming products/features/events, marketing campaigns, and revenue-generating initiatives.
Collaborate with the team to optimize acquisition, retention, and monetization strategies
Provide recommendations to enhance game features and in-game economies based on analytical findings.
Requirements
Bachelor’s degree
3-5+ years in similar analytical roles in the social casino/iGaming industry.
Proficient in SQL and experience with complex data queries.
Strong analytical and problem-solving capabilities and attention to detail.
Passion for the social gaming industry and an adaptable attitude.
Experience with PowerBI
Familiarity with statistical tools and models (R, SAS)
(5) https://bccfe.ca/careers/statistician/
Statistician
BC Centre for Excellence in HIV / AIDS
Vancouver BC
$63,484 – $79,355
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.
Ability to develop complex and customized queries and reports
Demonstrated knowledge of statistical software packages including SAS and R.
Ability to perform complex statistical analyses based on the design of study.
Advanced knowledge of Microsoft Office Suite.
Your Day to Day:
Provides support for the development and maintenance of data collection and recording systems such as databases. Performs data retrieval for studies by writing computer programs and macros
Provides analytical support for research by using quantitative data analysis using descriptive and statistical methodologies.
Performs quantitative data analyses using advanced statistical methodologies and statistical software.
Identifies and provide advice about data limitations and ensure adequate data quality for analytic purposes; serves as a resource on experimental design, statistical methodology
Collaborates on writing scientific papers and abstracts by providing statistical results, writing methods and results and preparing tables and figures.
Collaborates on writing grant proposals, providing a priori power and sample size calculations.
Business Consultant, Process and Change Management (12 Month Contract)
CIBC
Toronto ON
What you’ll be doing
As a member of CIBC’s team, the Consultant, Business Analytics is responsible for supporting the delivery of advanced consulting advice in data analytics, providing research and insights, and ensuring senior management has the relevant information to make informed decisions. The role applies advanced concepts to utilize various advanced analytical techniques such as statistical modeling, data mining, and machine learning. The Consultant, Business Analytics provides insights that inform decisions influencing department strategy, performs in-depth analysis of research information to identify opportunities, develops proposals and makes recommendations for management’s use. The role works autonomously on day-to-day work, researching industry best practices, tools, and systems for reporting and data analysis, identifying and recommending enhancements to automated systems used to create a standardized reporting system. The role uses independent judgement to determine methods and approaches to work and acts as a resource integrator for their area.
Who you are
You can demonstrate experience with: programming languages and have experience using modern big data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, Hadoop, Spark, Alteryx, Tableau, Cognos).
You have a degree in a quantitative field (or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, MBA).
You demonstrate knowledge in organization’s Information Technology (IT) environment and understand the integration / interdependencies of various processes across a line of business.
You have stellar communication skills. You have the ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation.
Senior Developer, Business Intelligence
Atlantic Packaging Products Ltd.
Scarborough ON
$93,000 – $110,000
What You’ll Do
Collect, study, analyze and understand business requirements in context to business intelligence
Design intuitive and visually appealing user interfaces for web and mobile applications
To design, develop, and deploy Power BI scripts and perform efficient detailed analysis.
Utilize Power BI to build interactive and visually appealing dashboards and reports.
To create charts and document data with algorithms, parameters, models, and relations explanations and verify all data with business subject matter experts prior to publishing reports.
Ensure all reports and visualizations follow the corporate standard.
To identify KPIs with clear objectives and monitor them consistently.
Build multi-dimensional data models.
Develop strong data documentation about algorithms, parameters, models and conduct knowledge sharing sessions as required within the Atlantic’s analytics team.
Perform detailed analysis on tested and deployed Power BI scripts.
Run DAX queries and functions in Power BI
To perform SQL querying for best results
To define and design new systems by analyzing current ETL processes.
What You Bring
University Degree in Computer Science or Statistics, or related major.
5+ years’ experience using Power BI tools and BI systems.
Ability to use Power Automate and other Power BI tools to build robust reporting.
Skilled in building rich dashboards, writing DAX expressions, and implementing security.
Experience with big data architectures and data modeling to efficiently process large volumes of data.
Experience in ELT and ETL data processing.
In-depth knowledge of Microsoft Business Intelligence stack like Power Platform (BI, Automate), SSRS, SSIS and SSAS.
Well versed in programming languages like SAS, R, Python, VBA and Excel.
Proficient in database management of SQL and NoSQL.
(8) https://careers.niagarahealth.on.ca/erecruit/VacancyDetail.aspx?VacancyUID=000000041084
Sr Case Costing Performance Advisor, Ft
Niagara Health
St Catharines ON
$55.32/hr
Posted Date: 10/23/2026
JOB TASKS AND RESPONSIBILITIES:
Contribute to the core functions of our case costing processes and Ontario Case Costing Submission
Dentify and champion innovative approaches for the effective utilization of patient-specific costing and MIS Statistical data
Utilize advanced data visualization skills, tools, and techniques to communicate complex findings in a clear and meaningful manner
Develop and implement strategies to ensure transparency and traceability in case costing and MIS statistical reporting
Implement and manage robust audit protocols to identify and address data integrity issues promptly
Ensure the reliability, accuracy, and consistency of MIS statistical and workload data, fostering a culture of data quality across the organization
Play an active role in various ad-hoc projects, leveraging your expertise to provide valuable insights and support
QUALIFICATIONS:
University Degree or Masters in Health Informatics, Health Administration, or a related field. Alternatively, possession of a Professional Accounting Designation (CPA) is highly valued
A minimum of 3 years of experience in Finance and/or Decision Support is preferred, though candidates with a strong analytical background from diverse fields are encouraged to apply
Previous experience with Case Costing or Cost Accounting is an asset
Demonstrated familiarity with data analytics, statistics, and financial modeling,
Advanced computer skills, including proficiency in Excel, Power Point, and experience with report writers or statistical packages (e.g., SAS, SQL, Crystal)
Knowledge of Ministry of Health Information Standards (MIS/OHRS) is an asset
Senior Python Developer
CGI Inc.
Toronto ON
$85,000 – $135,000
Position Description:
We are seeking a Senior Python Developer with 8+ years of experience in Python scripting, data engineering, and SQL. The successful candidate will collaborate with business users, support code migration and refactoring, and help drive technical decisions.
– Develop and maintain Python scripts and solutions.
– Support data engineering activities and SQL-related tasks.
– Perform code migration and refactoring, including documentation.
– Collaborate with line-of-business (LOB) users to understand needs and drive technical decisions.
Required qualifications to be successful in this role:
– 8+ years of experience in Python development.
– Knowledge of Python and SAS scripting.
– Experience with Anaconda.
– Experience in data engineering and SQL.
– Experience with code migration, refactoring, and documentation.
– Strong communication skills and the ability to work with business users and drive decisions.
(10) https://jobs.dayforcehcm.com/en-US/corusortho/CANDIDATEPORTAL/jobs/9621
Senior Business Analyst – Power BI
Corus Orthodontists Inc.
Calgary AB
$70,000 – $85,000
What You Will Love Doing
Advise orthodontic practices on operational performance through benchmarking, workflow analysis,
Own the design and evolution of practice and corporate performance scorecards and dashboards.
Ensure all reporting clearly answers: ‘What happened?’, ‘Why?’, and ‘What should we do next?’
Prioritize visual clarity, limited segmentation, and decision-focused comparisons (e.g., Actual vs Target or vs SMLY).
Build and maintain forecasting models for starts, production, collections, exams, and NPE.
Perform Forecast vs Actual and Budget vs Actual variance analyses, identifying root causes and operational levers.
Own Power BI dashboards and analytics roadmap.
All About You:
Bachelor’s degree in Business, Finance, Economics, Analytics, Engineering, Data Science
3-5+ years of progressive experience in operations analytics, business analytics, FP&A, strategy & operations, consulting or a comparable analytical role.
Demonstrated experience building financial and operational models used for forecasting, scenario planning, growth, recovery or performance improvement.
Strong experience analyzing cost, efficiency, profitability and operational performance drivers.
Advanced Power BI and Excel skills, including experience developing dashboards and reporting used by business leaders.
Experience presenting findings and recommendations to senior leaders and influencing business decisions through data.
Demonstrated experience using AI and emerging analytical tools to improve analytical workflows, insight generation, automation or reporting.
