2026-02-14 Data Analysis Job List
Data Science and Evaluation Consultant
Acute Care Alberta —Edmonton, AB
Posting End Date: 24-FEB-2026
Required Qualifications:
Master’s degree.
Experience with macros, stored procedures and statistical software applications including SPSS, SAS and/or R. Demonstrated experience in applying statistical methods including multi-level modeling, generalized linear models, and survival analysis. Experience with Tableau, Oracle SQL and Python.
A minimum of three years of experience conducting research or evaluation related projects. A minimum of two years of experience within a healthcare environment is required.
Description:
Under the supervision of a Senior Consultant, you will work collaboratively to support implementation, evaluation, and reporting on healthcare-related projects. The work may be local to provincial in scope, dynamic, and fast-paced. The key responsibilities of this position include: generating scientific information customized to stakeholder needs to inform planning, practice improvement and better patient care; creating new information by linking methodology and multiple data types (e.g., wait time data, AHS DAD, NACRS, Admission/Discharge/Transfer data, Continuing Care data, Emergency Department data); providing recommendations on and developing performance measures; designing appropriate data extracts/scripts to pull required data and information from system-level data sources (e.g., Enterprise Data Warehouse, Connect Care, FSIS (Corrections), HCAHPs); interfacing and liaising with researchers, evaluation stakeholders, operational and clinical networks and various client groups; supporting research and evaluation projects using standard methodology, theory and practice; performing intermediate to advanced statistical analysis and data visualization (e.g., dashboards)
Data Solutions Developer – Intermediate
Intelliswift Software, Inc. —Toronto, ON3.8
$50–$55 an hour
Role Description
As a Senior Data Engineer, you will design, develop, and optimize data systems and pipelines to support CLIENT GAM’s analytics and reporting capabilities.
You will work closely with data analysts, BI engineers, and business stakeholders to ensure efficient data flow and enable data-driven decision-making.
MUST HAVE
5+ years of experience in Data Engineering and ETL development.
Strong proficiency in Python and SQL for data processing and automation.
Solid understanding of Data Modeling, Data Warehousing, and Analytics concepts.
Familiarity with AWS tools such as SageMaker, AWS Unified Studio, and other data services is highly desirable.
Proven experience in tech modernization/migration projects.
Strong problem-solving, communication, and collaboration skills.
Experience with SAS and WebFOCUS for advanced analytics and reporting.
Exposure to machine learning workflows and data science integration using AWS SageMaker.
Manager, Wealth Reporting Analytics & Automation
BMO Financial Group —Toronto, ON3.6
$69,000–$129,000 a year
The Wealth Reporting, Analytics and Automation will develop analytical and reporting solutions in close consultation with business stakeholders and functional partners, that are related to Wealth Analytics, reporting, automation and Legal, Regulatory and Compliance (LRC) requests 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.
This role will support Wealth Analytics, reporting, automation and Legal, Regulatory and Compliance projects and generally support advanced analytics and data management.
Qualifications:
7+ years of relevant analytical experience (preferably within FinTech or banking), supported by a post‑secondary degree in a related discipline or an equivalent combination of education and experience.
Advanced proficiency in SAS (including SAS Macros) and SQL.
Strong expertise in data visualization tools such as Microsoft Power BI and Fabric.
In‑depth experience with ETL processes, data preparation, data analysis, optimization, and automation.
Familiarity with additional statistical or analytical toolsets—such as Python, R, SPSS—considered an asset.
Demonstrated deep technical knowledge and analytical proficiency gained through extensive business experience.
Senior Data Analytics Investigator
Scotiabank —Toronto, ON3.8
Is this role right for you? In this role, you will:
Support the design and implementation of the overall enterprise insider threat program, user behavioral analytics and future data modelling and analytics initiatives in support of investigations, criminal activity and risk mitigation.
Contributes to the design of complex predictive models and pattern detection algorithms to detect suspicious digital fraud alerts and user behavioral activities
Experience with/or ability to explore a variety of machine learning, statistical analytics and data mining techniques with the objective of improving Corporate Security’s investigative capabilities
Keep abreast of emerging insider threat techniques, digital fraud trends, investigative techniques, evolving regulatory requirements and assess potential impact to the bank.
Champions a high performance environment and contributes to an inclusive work environment
Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:
Post-secondary degree and/or 3+ year similar hands-on work experience preferred.
Minimum 4+ years of experience in an analytical role, creating complex data models, dashboards, algorithms, rules, and/or alerts, preferably in the context of user behavioral analytics and monitoring.
Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, image)
Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
Strong verbal, written, presentation & communication skills.
Creative, out-of-the-box thinker with strong analytical and problem-solving skills.
Knowledge of project management, and software development process would be an asset.
Highly competent in using analytical and computing tools, such as SAS, Java, R, Python, Hadoop, HIVE, Spark, etc.
Junior Data Science Analyst, Modelling and Best Practices
Desjardins —Toronto, ON3.8
$65,338–$95,829 a year
More specifically, you will be required to:
Develop and maintain analytical workflows and tools to support home and auto insurance segmentation initiatives
Assist in building, testing, and monitoring statistical models used for actuarial models
Contribute to data architecture and analytical workflows by preparing and maintaining data sources, transformations, and dependencies used in production pipelines
Support model orchestration by preparing and maintaining orchestration pipelines, performing testing and validation, merging changes through DevOps/Git workflows, and producing technical documentation to ensure models are production‑ready
Contribute directly to statistical modelling and analytics, applying and continuously improving best practices in model development, documentation, and performance monitoring
What you bring to the table
Bachelor’s degree in data science, statistics, mathematics or computer science
A minimum of two years of relevant experience
Please note that other combinations of qualifications and relevant experience may be considered
Knowledge of French is required for positions in Quebec
Advanced experience building and maintaining analytics workflows in Microsoft Azure (e.g., Azure Data Factory, Databricks, Synapse), with solid Git/DevOps practices.
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
Advanced programming proficiency in Python and R (and/or SAS)
Data and Project Coordinator- HPE Ontario Health Team
Gateway Community Health Centre —Tweed, ON
$60,155–$70,770 a year
Position Responsibilities:
· Develop and maintain data collection and reporting methods to facilitate reporting from partner organizations for performance monitoring, quality improvement, and accountability purposes
· Coordinate the preparation of OHT reports in collaboration with all stakeholders and HPE OHT Backbone staff
Collaborate with partners to identify key data needs and coordinate the development of key performance indicators and metrics
Develop communication tools, strategies and visualizations (e.g. dashboards, summary reports, graphs)
Coordinate the implementation of strategic initiatives across the OHT such as implementation of the information sharing and data trust framework (e.g., launching data sharing agreements, coordinating privacy training) .
Coordinate adoption and optimization of shared digital assets across OHT members (e.g., online appointment booking)
Qualifications
Post-secondary degree and (Master’s preferred).
3+ years of recent and relevant experience in decision support, health data analytics, population health assessment, and project coordination.
Strong data cleaning, manipulation, and analysis skills using statistical tools (e.g., R, Python, SAS, Power Query).
Proficiency in quantitative analysis and report writing, with the ability to translate complex data into actionable insights using visualization tools (e.g., Excel, Power BI, Tableau).
Advanced computer skills and experience using technology to support team workflows (e.g., MS Office Suite, SharePoint, CRM software).
Strong communication, facilitation, and problem-solving skills; commitment to equity and continuous improvement.
Experience with data governance, privacy, security, quality management, and documentation practices (e.g., metadata).
Knowledge of the health sector, including primary care, acute care, home care, long-term care, and community support services.
IT Analyst II
Alberta Health Services —Calgary, AB3.7
$38.54–$52.03 an hour
Posting End Date: 23-FEB-2026
Your Opportunity:
Join our Reporting and Analytics team and play a critical role in delivering trusted data that supports clinical, operational, and financial decision-making. Your responsibilities will include system and application administration, development, monitoring, and support of data integration pipelines, and ensuring data accuracy, reliability, and auditability. You will design, implement, and maintain solutions across cloud-based and on-premises environments, with a strong emphasis on data quality, security, and regulatory compliance in a healthcare setting. In this role, you will troubleshoot and resolve complex technical issues, lead assigned technical project tasks and contribute to continuous improvement and system enhancements. You will also participate in strategic initiatives and may be required to take part in an on-call rotation to support after-hours operations and ensure continuity of critical reporting systems. This position is based in Calgary or Edmonton, with the possibility of a hybrid remote work arrangement.
Required Qualifications:
bachelor’s degree in Computer Science or Information Technology or equivalent.
Strong proficiency in Python for healthcare data integration, validation, and automation. Advanced proficiency in SQL for querying, validating, and optimizing large clinical datasets. Hands-on experience with Microsoft Fabric supporting production data pipelines and lakehouse architecture. Experience developing and maintaining Power BI reports used by operational, clinical, or financial stakeholders. Experience supporting mission-critical healthcare data systems where accuracy, reliability, and auditability are essential.
Experience integrating data via REST APIs from clinical or vendor systems. Familiarity with healthcare data engineering practices, including incremental loads and medallion architecture. Experience with Microsoft Fabric administration. Experience using Git for version control. Working knowledge of Windows batch scripting. Experience with Apache Spark or Airflow, and supporting SAS or SSIS workflows. Epic training or experience with Epic EHR (Clarity/Caboodle).
Manager, Business Process Analytics
BMO Financial Group —Toronto, ON3.6
$69,000–$129,000 a year
Key Accountabilities
Understand business KPIs, and relevant drivers and factors that can help reach business objectives.
Internalize and understand the larger context of data elements at different levels (e.g. transaction, account, product, customer, employee, channel, line of business) and leverage a strong awareness of how these attributes intersect.
Analyze large, complex datasets (from multiple sources, both structured and unstructured) to drive insights and recommendations.
Be a practitioner of data best practices including QA, stable design, code optimization, and automation techniques.
Design and Delivery of Performance Reporting and Dashboards
Responsible for performance measurement reporting and visualization that monitors overall and incremental impact on process health in quantity and quality.
Refine design proposals in collaboration with various stakeholders in Personal and Business Banking.
Qualifications:
BS/BA in Commerce, Finance, Statistics, Quantitative Methods, Math, Computer Science, Marketing,
3+ years of applicable experience.
Strong foundation in data and analysis.
Ability to pull data from multiple sources and formulate comprehensive and actionable reports.
Expert proficiency in SQL, Excel, and PowerPoint.
Proficiency in SAS EG coding.
Experience in data visualization preferred, including visualization software such as Power BI, Microsoft Reporting Services, Spotfire or Tableau.
Specialist, Channel Compensation
Bell —Calgary, AB3.7
$80,000–$105,000 a year
Application Deadline: 02/26/2026
Key Responsibilities
Design and develop current, existing and future compensation plans
Ability to work with big data in various systems and technologies
Expert in MS PowerPoint, Excel and Word
Ability to pull own queries using Teradata, SQL, SAS, Oracle and others
Ability to design compensation plans using various scenarios and strategies while driving our goals but doing it responsibly
Ability to dig beneath the surface and find those outliers, issues, items, etc.
Familiar with Consumer Electronics portfolio as well as service related products
Works well and drives our financial packages when dealing with the Finance team
Builds concepts at the design phase and works all the way to execution, reporting, communication and payment
Will be responsible for working on Internal Channels (ex. Corporate, Best Buy Express)
Critical Qualifications
2-3 years of compensation, finance, mathematics, statistics, social science or relevant work experience designing and managing compensation plans
Self starter capable of driving projects to completion
Outstanding problem solving skills
Project management skills and ability to collaborate across many areas of the business (eg. Sales, Finance, Operations, Business Intelligence, etc)
Decision Support Analyst
Lakeridge Health —Whitby, ON3.9
$41.70–$56.77 an hour
DUTIES AND RESPONSIBILITIES:
The Decision Support Consultant leverages strong analytical skills and knowledge of patient-related and hospital utilization data to support evidence-based decision making, to monitor performance against corporate and program-level goals and targets, as well as identify and evaluate trends and potential opportunities for improved health system performance. The Consultant supports various hospital clinical programs and the senior management team through the extraction, analysis, interpretation, presentation and dissemination of data-driven insights. This includes extracting data from Epic health information system and other data sources as well as developing and maintaining reporting content within Epic using tools such as Radar Dashboards, Report Workbench and SlicerDicer.
” Maintain, troubleshoot, investigate, and develop reporting products and tools.
” Design and develop dashboards, reports, metrics in Epic & Power BI reporting systems.
” Extract data from SQL databases, both Epic (Clarity & Caboodle) and non-Epic sources.
” Create, maintain, and enhance documentation on reporting solutions and processes.
” Apply data governance principles to all reporting and data assets.
” Attend meetings, courses, and workshops as needed.
QUALIFICATIONS:
” Bachelor-level degree in an area of Science, Health Informatics, or similar degree is required; a master’s degree or higher-level education is considered an asset.
” 3 years of progressive experience working in data or analytics services or equivalent role, or combination of experience and graduate-level education.
” Knowledge and experience with Epic health information system and its reporting modules (Cogito, Clarity, Caboodle) is preferred. Active certification in these modules or ability to achieve certification is required.
” Working knowledge of Wait Time Information System (WTIS) and national/provincial datasets (e.g. DAD, NACRS, CCRS, NRS, OMHRS, etc.).
” Knowledge and experience with analytic tools, including but not limited to Microsoft Power BI, SQL, IntelliHealth, and Excel.
” Advanced expertise in data science techniques (e.g. machine learning, predictive analytics, NLP, etc.) is a strong asset.
” Proven ability to manipulate and analyze data using various software tools and to present complex ideas clearly to non-technical stakeholders.
Analyst, Business Systems
Fraser Health —Surrey, BC3.7
$34.67–$49.83 an hour
Full job description
Build your career experience as you focus on some of the following key roles and responsibilities:
Understand the end-to-end clinical workflows and get involved in test cases preparation and hands-on testing for applicable in-scope test types
Become proficient in using the Power Automate scripting tool, Power BI for reports, contribute to improving processes
Be the go-to person for all ongoing scripting/automation activities & upcoming initiatives
Offer analytical support to clinical users by extracting, cleaning and modeling data from electronic health records systems like MEDITECH, utilizing software such as Excel and Microsoft SQL Server
Collaborate with Health Informatics departments, partner organizations, infrastructure support teams and external vendors as required
Work closely with the Sr. BA and Test Lead on all scripting initiatives
Are you motivated to join us? We will be looking for you to have the following:
Bachelor’s degree
At least three (3) to five (5) years recent related experience
Hands-on Automation & Scripting (preferably using the Power Automate tool)
Experience with Power BI
Experience with health and corporate information systems
Proven work experience and strong proficiency in SQL, R, Python, Power BI and Power Automate
Good knowledge of extracting, cleaning, and modeling data from electronic health records systems like MEDITECH, utilizing software such as Excel and Microsoft SQL Server
Proficient Excel, PowerPoint and Visio skills
Ability to support the Sr. BA and Test Lead in day-to-day deliverables
