2026-07-11 Data Analysis Jobs
(1)https://www.amazon.jobs/en/jobs/10376330/bie-ii-fulfillment-optimization
BIE (II), Fulfillment Optimization
Amazon Canada
Vancouver BC
76,400.00 – 127,600.00 CAD annually
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, and carrier capabilities.
– Your work will have a direct impact on Amazon’s business and customer promise.
Basic 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
– Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
(2) https://www.cofomo.com/en/jobs/85496
SAS Platform Administrator
Cofomo Inc.
Montréal QC
Here’s a brief overview of the tasks and responsibilities you’ll be able to:
Create and maintain CI/CD pipelines in Azure DevOps;
Develop and update framework-as-code scripts with Terraform;
Automate environment configuration using Ansible;
Develop scripts in Bash or Python to automate operational tasks;
Administer and support SAS Viya platforms on Azure (AKS);
Ensure performance, stability and evolution of environments;
Participate in the implementation of DevOps and automation solutions.
The profile you are looking for is as follows:
Experience with Azure DevOps, including setting up CI/CD pipelines;
Master Terraform in an infrastructure-as-code context;
Have experience with Ansible for configuration management;
Have scripting skills with Bash or Python;
Have experience with Kubernetes (AKS) in Azure;
Know SAS Viya, including its configuration and administration;
Master Azure environments (KeyVault, networks, Synapse, etc.);
Have a good knowledge of Linux environments and automation;
Senior Data Analyst
BMO Financial Group
$56,000 – $103,500
Application Deadline:07/30/2026
Key Responsibilities
Analyze and visualize trends across the end-to-end collections process to identify performance gaps, emerging risks, and opportunities
Evaluate third-party agency performance and uncover optimization opportunities in assignment strategies
Support the design and refinement of employee incentive programs to drive desired performance outcomes
Develop dashboards and reporting (e.g., Power BI) to provide actionable insights to stakeholders
Partner with operations, strategy, and risk teams to translate analytical findings into business actions
Documents data flow, systems and processes to improve the design, implementation
Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.
Qualifications:
1–3 years of relevant experience in analytics, with a post-secondary degree
Proficiency in statistical and analytical tools such as SAS, SQL, and Python
Experience developing Power BI dashboards strongly preferred
Strong analytical thinking and problem-solving skills
Ability to translate complex analytical insights into clear, actionable recommendations for a broad audience
Manager, Credit Risk Strategy Oversight
BMO Financial Group
Toronto ON
$69,000 – $129,000
Date limite pour présenter sa candidature : 08/02/2026
Key Responsibilities
Provide independent, evidence‑based challenge on credit proposals, strategy changes, segmentation approaches, ML‑enabled decisioning, and underwriting policies
Assess conceptual soundness, key assumptions, data integrity, and directional risk impacts across origination, account management, and collections strategies;
Monitor portfolio performance, early‑warning indicators, and emerging risks;
Present analytical findings to first‑ and second‑line stakeholders in a clear, structured, and decision‑ready manner.
Provide analytical and consultative support to partners in Credit, Finance, Product, Legal, Operations, Data & Analytics, and Modeling, embedding risk considerations early in design.
Maintain and enhance credit risk governance artifacts (roles, authorities, controls) in alignment with enterprise risk and model risk management standards.
Qualifications
Typically 5–7 years in risk analytics, portfolio management, credit strategy, or related analytical roles within a financial institution.
Postsecondary degree
Strong applied experience with analytical tools such as Python, SQL, SAS, or R; ability to translate complex analysis into clear, concise insights for senior audiences.
Solid understanding of credit risk principles, portfolio analytics, governance expectations, and regulatory concepts gained through hands‑on experience.
(5) https://emplois.bnc.ca/en_CA/careers/JobDetail/P4R33-ANALYSTE-SENIOR/34064
Senior Analyst
National Bank of Canada
Toronto ON
Posting date: 10-Jul-2026
Your Role:
Develop and recalibrate IFRS-9 and stress testing models for the Bank’s wholesale and retail portfolios. Document the data selection, modeling techniques and implementation.
Conduct model backtesting, monitor model performance and propose appropriate model actions when necessary.
Conduct IFRS-9 ECL impact assessment for parameter recalibration, economic scenario change, model updates, data migration and process changes.
Operate and maintain the IFRS-9 ECL reporting processes to produce timely and accurate ECL results.
Validate the process inputs and outputs for quality control and governance.
Develop, manage and monitor IFRS-9 PCL budget and limit for the bank.
Collaborate with IFRS-9 stakeholders, including Economics, Finance, IT, Credit Risk Models, Model Validation Group, and Internal Audit.
Provide support for ad-hoc requests required by IFRS-9 stakeholders and senior management in a precise and efficient manner.
Prerequisites:
Masters
Completion or progression in CFA and/or FRM would be an asset.
Completion of SAS certification would be an asset.
Hands-on experience in managing and interpreting large and complex enterprise level data sets.
Knowledge with IFRS-9 and regulatory requirements.
Hands-on experience with SAS, SQL, MS Excel (VBA) or Python.
Knowledge of AI and Machine Learning would be an asset.
Excellent analytical skills to identify the causes of risk changes and impact to business and strategy.
(6) https://jobs.rogers.com/job/Toronto-Senior-Credit-Risk-Analyst-ON/1405607000/
Senior Credit Risk Analyst
Rogers
Toronto ON
What you’ll do:
Develop and implement statistical/machine learning models to support business decisions (credit risk, marketing, fraud, collection etc.)
Assist with IFRS 9 expected credit loss (ECL) model update and maintenance
Test and validate statistical models to ensure accuracy and reliability
Create clear and concise documentation of statistical models, including assumptions, limitations, methodology, and interpretation of results.
Develop dashboards and visualizations to communicate insights from the models,
Conduct statistical analysis to identify factors that predict customer behaviour including payment behavior, purchase activity, delinquency trends and write-offs
Quantify impact in key revenue and loss metrics resulting from potential/actual changes to risk strategy and process
Understand data flows and processes from various business areas to support reporting, analysis and modelling
What you have:
Bachelor’s degree in Mathematics, Statistics, Business, Finance, Economics
Work experience within finance / credit card environment is preferred
Knowledge on IFRS 9 ECL calculation is preferred
Data analysis skills must include at least 2 years of experience using statistical programs such as SAS, Python, R, Knowledge Studio, or similar
Strong analytical and statistical knowledge with an ability to combine quantitative and common-sense problem-solving skills
Highly proficient with the use of database querying tools such as SQL
Highly proficient with Microsoft office applications – advanced Excel (knowledge of macros-VBA and pivot tables)
Data visualization tool such as PowerBI is preferred
Manager, Sales Practice Analytics
BMO Financial Group
Toronto ON
$69,000 – $129,000
Application Deadline: 07/29/2026
Your Role
Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
Works with different teams, management and stakeholders to enhance the usability and aesthetic
Develops data visualizations of “large” amounts of data that facilitate the intuitive presentation of data to decision makers.
Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
Provides specialized consulting, analytical and technical support.
Qualifications:
Technical design optimization.
Decision Making.
Data visualization.
Data storytelling.
Data mining.
Illustration.
Creative thinking.
Problem Solving.
Analytical and problem solving skills.
Data driven decision making.
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.
Strong proficiency in SAS, SQL programming and Excel analysis
Power BI and advanced modelling experience preferred
Deep knowledge and technical proficiency gained through extensive education and business experience.
(8) https://www.amazon.jobs/en/jobs/10375105/data-scientist-private-brand-analytics
Data Scientist, Private Brand Analytics
Amazon Canada
Vancouver BC
85,200.00 – 142,300.00 CAD annually
Key job responsibilities
The ideal candidate has strong fundamentals in forecasting and applied ML, experience with Python and SQL, comfort working with large-scale retail datasets, and the ability to communicate findings clearly to non-technical partners.
Qualifications
– 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
– 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
– 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
– Master’s degree in Science, Technology, Engineering, or Mathematics (STEM),
– Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
– Knowledge of machine learning concepts and their application to reasoning and problem-solving
– Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
– Experience working with or evaluating AI systems
(9) https://syreon.bamboohr.com/careers/69
Biostatistician
Syreon Corporation
Vancouver BC
Description
Candidates will work within multidisciplinary research teams, providing biostatistical expertise, including SAS programming, modeling, analysis, and reporting across a variety of clinical and economic programs. The position requires extensive statistical skills and the ability to communicate statistical ideas to those with little or no statistical training. An understanding of clinical study design, advanced informatics, and clinical and epidemiological research is necessary.
The role is intended to help fulfill the Biostatistics Division’s overall responsibility for maintaining the highest statistical standards in the design and conduct of our research programs, and works closely with the Clinical Project Management, IT, and Data Management Divisions.
Qualifications & Experience:
Advanced degree (MSc or PhD) in a related field from an accredited college or university
Expertise in advanced informatics, biostatistics, and related programming platforms
Comprehensive understanding of clinical and epidemiological research
Strong command of medical terminology ensuring effective communication within interdisciplinary teams
Familiarity with Electronic Data Capture (EDC) systems and processes
Strong interpersonal skills including adaptability, flexibility, professional integrity
(10) https://ices.bamboohr.com/careers/169
Data Quality Analyst
ICES / Institute for Clinical Evaluative Sciences
Toronto ON
$68,000 – $78,000
Responsibilities of the position include, but may not be limited to:
Create research-ready, user-friendly, standardized SAS datasets for the ICES Data Repository;
Create and maintain SAS macros and other tools to facilitate and standardize data use;
Create and maintain documentation of data, macros, and processes;
Assess and report on data quality issues, and to continually enhance the ICES data infrastructure;
Gain and share expertise in specific data holdings;
Participate actively in the ICES Data Issues Group;
Other duties as may be assigned within the scope of this position.
Knowledge, skills, and abilities required:
Master’s degree in a quantitative discipline
Advanced knowledge of SAS and other data management tools, at the “Certified SAS Advanced Programmer” level;
Facility with macro writing and SQL;
Creativity in developing data quality measures, and initiative in resolving data anomalies;
Ability to integrate data and research concepts, and to exercise good judgment;
Knowledge of the Ontario health care system would be an asset;
Proficiency in using Python to process and analyze data from SAS and SQL databases is an asset;
Experience applying natural language processing (NLP) techniques to analyze free-text data would be an asset.
