2026-10-11 Data Analysis Job opportunities
Decision Support Consultant – Decision Support
London Health Sciences Centre / LHSC
London ON
$49.27 – $61.59/hr
Deadline: October 16, 2026
Remote – Predominately
Resposibilities
The Decision Support Consultant ensures strategic alignment and standardized approaches to ensure data quality is maximized. They provide education to improve data knowledge, analysis and stewardship of resources for clinical programs and corporate projects. They perform aggregation and presentation of clinical, financial and utilization data to inform strategic planning
The Decision Support Consultants liaise with other resources within the Decision Support Department to ensure operational needs of stakeholders/ programs are met. These operational needs include regular and ad hoc reporting, planning and forecasting, assessing data quality issues and solutions, and education regarding the resources and tools which are available across the organization.
Qualifications
Successful completion of Master’s Degree in Business
Minimum three (3) years recent, related job experience with hospital/healthcare including clinical and financial data and consultative skills
Advanced proficiency in Microsoft Excel, Access, PowerPoint and Word with ability to adapt easily to new software
Advanced proficiency of statistical tools (for example Minitab, SPSS or SAS) and data management and presentation tools (for example Visio, Tableau, Crystal Report Writer)
Excellent facilitation skills and proficiency in preparing and delivering presentations to large and small audiences
Business Data Analyst
Canadian Tire
Oakville ON
$53,000 – $88,000
End Date: October 21, 2026
Job Decription
Promote and contribute to continuous improvement of data governance and data management standards, policies, procedures and controls
Continuously assess the current state of our data environment to identify process improvement opportunities such as inefficient table structures, ineffective load processes, R.O.T. or metadata and reference data enhancements
Proactively monitor data, metadata and reference data and support the data stewardship community in resolving identified data quality and data integrity concerns
Maintain data models as well as metadata and documentation such as data glossaries and catalogs, data mappings, data lineage and data classifications
Participate in data integrations as the liaison between I.T., business data owners\stewards and subject matter experts and conduct data profiling and data discovery to support these efforts
What You Bring:
Post-secondary education in Computer Science or related program
Proficient in PL/SQL and confident working in a structured data environment
Exposure to some of the following tools or technology: Oracle, Databricks, IKC, Azure, GCP, Big Query, Hadoop, Hive, Python, R, Shell Scripting, SAS, basic Linux commands
Clear understanding of data management concepts: Big data/Hadoop, data lake, data warehouse, data mart, relational databases, data ingestion/ETL, master data
Advanced working knowledge of Microsoft tools including Visio, PowerPoint and Excel
(3) https://careers.aircanada.com/ca/en/job/39489/Data-Solutions-Analyst
Data Solutions Analyst
Air Canada
Dorval QC
Responsibilities:
Design, build, and maintain enterprise data solutions for operational and customer data.
Develop scalable data pipelines and curated data models for organizational consumption.
Automate data processes and reporting to improve efficiency and scalability.
Source and integrate data from key operational systems and datasets.
Develop manual data extraction methods where automated access is unavailable.
Identify, investigate, and resolve data anomalies and integrity issues.
Implement data validation rules, controls, and monitoring mechanisms.
Enable reporting, analytics, and advanced visualization through well‑designed data assets.
Support dashboards, KPIs, scorecards, and reports by delivering trusted modeled data.
Promote sustainable, well‑documented, and supportable data solutions.
Qualifications
University degree or college diploma in Computer Science, Data Management, or a related discipline.
Minimum 3 years of relevant work experience.
Experience working with enterprise data platforms, including data integration, data management, and data warehousing solutions.
Experience with data processing and storage platforms such as Microsoft Fabric, Azure Data Factory, Talend, and Snowflake.
Experience with statistical or data analysis tools such as SAS, or other data mining and analytical programming tools.
Proficiency in data and query languages, including SQL/T‑SQL, Python, DAX, and other database or scripting languages.
Ability to understand the operational and financial implications of data‑driven decisions and support cost‑benefit analysis.
Credit Risk Modelling Data Scientist
Desjardins Group / Mouvement Desjardins
Montréal QC
More specifically, you will be required to :
Design, use and improve mathematical models for risk management and prepare associated documentation diligently
Lead or contribute to projects, initiatives or activities in your field of expertise
Monitor the industry to understand and anticipate trends in your field of expertise to develop and update relevant best practices for the organization.
What you bring to the table
Bachelor’s degree in math, statistics, economics, finance or a related field
A minimum of six years of relevant experience
Experience in credit risk management and quantification
Knowledge of French is required
Intermediate advanced proficiency of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
Proficiency with SAS, SQL and Python programming tools
Knowledge of Basel standards
Knowledge of IFRS standards
Provincial Product Analytics Consultant
Allstate Insurance Company of Canada
Toronto ON
Remote
Accountabilities:
Compiles, cleans, organizes, and analyzes data to support business objectives and decision-making.
Analyzes business performance to identify trends, risks, opportunities, and emerging issues.
Develops and enhances reports, dashboards, and analytical solutions that support performance monitoring and insight generation.
Translates data and analytical findings into clear, actionable recommendations for stakeholders.
Contributes to the advancement of analytical capabilities through reporting modernization, automation, visualization, and process improvement initiatives.
Qualifications:
3+ years of experience in analytics, reporting, business intelligence, or related disciplines.
Experience with Power BI and data visualization.
Strong analytical and problem-solving skills with experience using data to inform business decisions.
Experience extracting, analyzing and interpreting complex data to identify trends, opportunities, and actionable insights.
Experience developing reports, dashboards, or performance monitoring solutions.
Manager, Wealth Reporting Analytics Automation
BMO Financial Group
Toronto ON
$70,000 – $150,000
Date limite pour présenter sa candidature :10/30/2026
Responsibilities
The Wealth Reporting Analytics and Automation understands and articulates the business case of business questions and the estimated value being delivered. Develops analytical and reporting solutions in close consultation with business stakeholders and functional partners, that are related to Wealth Analytics, reporting insights, automation as well as supporting broader data analytics responsibilities of the team. They will have strong ownership over all deliverables and guide on the configuration, applicability, and usability of data management, data analytics, and data visualization solutions to support these deliverables.
Cleanses, manipulates, and transforms data through programming or scripting to support model development and validation.
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:
7+ years of relevant analytical experience (preferably within banking or FinTech), supported by a post‑secondary degree in a related discipline or an equivalent combination of education and experience.
Advanced level of proficiency in SQL and SAS (SAS Macros, Proc SQL etc.)
Strong expertise in data visualization tools such as Microsoft Power BI and Fabric, data storytelling and illustration
Knowledge and expertise in AWS, PySpark and Python. Good to have experience in AWS migration.
Good to have Power Query and Power Automate knowledge
In‑depth experience with requirements gathering, data preparation, ETL development, insights design, data analysis, optimization, and automation.
Advanced analytical, problem-solving, and data-driven decision-making capabilities.
Demonstrated deep technical knowledge and proficiency gained through extensive business experience.
Consultant, Risk Analytics and Credit Decisioning
CIBC
Toronto ON
End Date: October 17, 2026
How you’ll succeed
Analysis – Design and execute data solutions to provide insightful analysis on all existing portfolios and new initiatives. Focus on Credit Card new account adjudication strategy for both pre-approved and non pre-approved with balanced risk and reward tradeoffs that maximize the revenue while minimize the loss with data driven analytics. Ensure successful implementation through detailed validation and tracking. Handle ad-hoc requests on the secured and unsecured personal lending portfolios as required
Insights – Design, schedule and run queries which provide insights into the performance of the assigned portfolios. Assist with designing and building new tracking and reporting capabilities to evaluate the performance of Credit Card portfolio segments or past strategy actions; this includes vintage-based performance tracking as well as approval rate trend and portfolio risk quality tracking.
Data – Recommend alternative approaches to achieve business objectives based on data analysis and knowledge of various sources of data. Build strong understand towards data and help to validate during system migration.
Who you are
You can demonstrate experience. In retail credit risk management and/or data analytics focused roles. Experience in data mining, data manipulation, and data analysis. Experience with SAS and Excel used to perform data driven analytics.
You have a degree/diploma. In Business, Finance, MBA or equivalent, education background in quantitative background such as Math, Statistics, Computer Science or Engineering a definite asset.
You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way.
You love to learn. You’re passionate about growing your knowledge, and you know that there is no limit to what you can achieve.
