2026-02-10 Data analysis Jobs
Data Science and Evaluation Consultant
Acute Care Alberta —Edmonton, AB
$30.90–$53.08 an hour
Posting End Date: 17-FEB-2026
Description:
Under the supervision of a Senior Consultant, you will work collaboratively to support implementation, evaluation, and reporting on healthcare-related projects. 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)
Required Qualifications:
Master’s degree
Experience with macros, stored procedures and statistical software applications including SPSS, SAS and/or R. Experience in the application of information technology, database design and information management. 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. Proficiency in written and verbal communication is essential. Proficiency in quantitative and qualitative research methods is required.
Senior Consultant Opinion Research
Earnscliffe Strategy Group —Toronto, ON
$73,000–$90,000 a year
Responsibilities & Duties
Play a major role in proposal writing/assembly, research design, data collection, data analysis, reporting writing and preparation, including proofreading and formatting.
Support the design of quantitative and qualitative methodologies, including surveys, recruitment screeners, discussion guides, sampling approaches, and recruitment strategies.
Prepare clear, engaging client-ready deliverables, including topline reports, research reports, data summaries, charts, and presentations.
Lead the design of quantitative and mixed-methods studies, including sampling plans, weighting strategies, questionnaire design, and experimental or quasi-experimental approaches.
Ensure methodological rigour across surveys, trackers, segmentation studies, mixed-method studies, and qualitative approaches (e.g., focus groups, in-depth interviews, online communities).
Conduct and oversee advanced statistical and multivariate analyses such as: regression modeling; factor analysis; cluster/segmentation analysis; driver and key-influence analysis; trend and longitudinal analysis.
Education & Experience
Bachelor’s degree; 5-10 years of experience in opinion research, market research, public affairs research,
Experience with emerging research technologies including AI-assisted tools, mobile-first survey platforms, social listening tools, and digital dashboards.
Strong command of statistical software (e.g., SPSS, R, Stata, SAS, Python, Q or equivalent), fluent in Microsoft Office suite (Word, PowerPoint etc.) and proficiency with survey platforms (Survey Monkey, Qualtrics, etc.) an asset.
Fluency in English required; French considered an asset.
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Senior Analyst, Credit Risk Strategy Oversight
BMO Financial Group —Toronto, ON3.6
$56,000–$103,500 a year
Key Responsibilities
Support independent assessments of credit proposals, strategy updates, segmentation approaches, and ML‑enabled decisioning.
Conduct analyses on assumptions, data quality, performance monitoring, and portfolio impacts; identify issues and recommend escalation where appropriate.
Execute components of regulatory capital and stress‑testing analysis, including data preparation, scenario interpretation, and variable review.
Provide analytical support to partners in Credit, Product, Finance, Operations, and Data/Analytics, ensuring risk considerations are appropriately incorporated.
Support maintenance of credit governance documents, tracking requirements, and ensuring documentation accuracy and completeness.
Qualifications
Typically 4–6 years in lending, credit risk, analytics, portfolio management, or related functions within a financial institution.
Postsecondary degree
Applied analytics experience with Python, SQL, SAS, R, or similar tools; demonstrated ability to synthesize complex analysis into clear, decision‑ready narratives and visuals.
Working understanding of banking, credit risk concepts, and portfolio analytics gained through education and hands‑on experience.
Data‑driven decision making
Basic understanding of compliance and regulatory expectations
Machine‑learning awareness (bias, overfitting, explainability basics)
Data Analyst
MCDOUGALL ENERGY INC —Sault Ste. Marie, ON
ABOUT THE OPPORTUNITY:
Gather data from multiple sources, such as databases, spreadsheets, cloud platforms,
Ensure the integrity, accuracy, and completeness of data collected
Review data for errors, inconsistencies, and missing values
Apply statistical techniques to interpret data sets, paying attention to trends and patterns that could be valuable for diagnostic and predictive analytics
Summarize findings and create clear reports, charts, dashboards and other visual representations
Track key performance indicators and create regular performance reports to monitor business outcomes
Ensure all data handling complies with relevant data protection and privacy laws, such as Personal Information Protection and Electronics Document Act (PIPEDA), Personal Health Information Protection Act (PHIPA), or Payment Card Industry Data Security Standard (PCI DSS)
ABOUT YOU:
College Diploma or University Degree in an IT-related field such as Computer Sciences
Experience working with data analysis tools and programming languages such as SQL, Python, R, or SAS
Strong proficiency in Microsoft Excel and data visualization platforms, Tableau, Power BI, etc.
Familiarity with databases, data warehousing concepts, and ETL processes
Experience in Project Management techniques and phases
Working knowledge of reporting tools within a SQL environment
Knowledge of Informatica or other ETL tools is considered an asset
Operations Business Analyst
$60,000–$70,000 a year
About The Opportunity
Working in a customer-centric environment, the ideal candidate plays a critical role in optimizing and modernizing the business operations. The role ensures operational processes and controls support efficient, compliant and scalable deliverables.
This role focuses on process improvement, compliance and digital transformation among the different departments supported by operations
Analyze end-to-end operational process
Collect, analyze and report on operational data
Monitor day-to-day operational performance and identify trends or issues
Support process improvement initiatives through data analysis
Ensure data accuracy and consistency across reports
Support testing, implementation, and rollout of operational changes
Essential Qualifications
Undergraduate degree
At least 1 year of experience in a business analysis role with strong data analysis skills
Demonstrated proficiency in Excel and basic data analysis tools
Demonstrated ability to communicate well at all levels internally and externally
Well-developed investigative and analytical skills, with a track record of solving problems and analyzing information
Demonstrated ability to create effective presentations, reports, and training materials
Works efficiently and independently, prioritizing requests from various sources
Direct working knowledge of SQL, Python, or SAS
Campaign Management Analyst
BMO Financial Group —Toronto, ON3.6
$56,000–$103,500 a year
What you will be doing:
Review and analyze campaign business requirements and produce Technical Implementation Plans
Prepare customer lists with campaign management toolset to meet the requirements of documented technical requirements
Build potentially recurring campaigns with automation in mind and automate campaigns as required
Identify issues and make recommendations for campaign improvement
Conduct campaign technical audits and review data output to ensure accuracy
Ensure campaign requirements have documented business partner approval prior to file development and execution.
What we are looking for:
Minimum 3 years of campaign or database marketing experience
Working knowledge of customer relationship management, campaign design and development
Experience in data analytics, developing and executing direct marketing campaigns, analyzing marketing campaigns and initiatives
Knowledge of financial services industry preferred
High level of proficiency in SAS, SQL, Unica Campaign or equivalent
Solid organizational and time management skills and ability to multi-task
Ability to prioritize, handle multiple tasks, quickly shift between competing and sometimes conflicting priorities in a high pressure, fast-paced environment
Manage expectations and multiple complex projects simultaneously
Manager, Model Validation (1-year contract)
Scotiabank —Toronto, ON3.8
Is this role right for you? In this role, you will:
Support the model validation team to mitigate the model risks
Discovers and diagnoses modeling related risks including input data, assumption, concept, methodology, process and implementation
Provides subject matter expertise on models’ strength and weakness and recommend practical solutions
Validates models assigned by model governance committee
Discusses validation results with model owners and governance team to gain consensus and create strategies to implement changes if needed
Utilizes express mode validation for new model development, facing legal and compliance related modeling issues, quick model fixes, etc.
Review model documents and conduct test runs on model codes
Work on model validation reports with hiring manager and provide ad hoc support as necessary
Do you have the skills that will enable you to succeed in this role? – We’d love to work with you if you have:
1-2 years relevant experience in quantitative risk management field is preferred.
Experience with AIRB credit risk models is preferred.
Proficient in mathematics, econometric models and statistics.
Strong analytical, numerical, research and problems solving skills.
Experience with financial statements analytics is an asset.
Software skill: Python, SQL, SAS, R and Matlab.
Senior Consultant, Channel Strategy and Analytics – Secondment 12 Months
CIBC —Toronto, ON3.7
How you’ll succeed
Insights and analytics – Use a variety of analytical methods (descriptive, diagnostic, and predictive) such as causal inference, time series analysis, and hypothesis testing to find actionable insights.
Data collection/acquisition – Identify gaps and establish the business cases for additional data collection and acquisition requests.
Stakeholder management – Support relationships with key business stakeholders to develop, execute and monitor complex insights and analytical solutions to business problems using a variety of analytical approaches and methodologies.
Who you are
You have a degree. BA/BSc or above
You can demonstrate 2 to 5 years of work experience in Statistical Analysis with proficiency in statistical methods and techniques to analyze data and derive meaningful insights. You also have strong experience in programming skills in languages such as Python, R, SAS, SQL for data manipulation, model development and automation.
You can demonstrate 2 to 5 years of work experience in model development to lead the design, development, and deployment of advanced analytical models, including predictive and prescriptive analytics, to drive business insights. You have excellent proficiency with data visualization tools like Tableau and Power BI.
You can demonstrate 2 to 5 years of work experience in dashboard creation, design and develop interactive Tableau dashboards that present complex data insights clearly to stakeholders.
Data Scientist I
CMHC —Ottawa, ON3.8
$71,761.28–$89,701.60 a year
What you’ll do:
Translate complex data into clear business insights by analyzing trends, identifying opportunities, and supporting strategic decision‑making across the organization. Leverage CMHC’s datasets and tools across multiple systems and programs to understand CMHC’s business and recommend actionable solutions
Support the development and continuous improvement of analytics practices by sharing knowledge, recommending improved methodologies, and establishing repeatable processes and best practices for analysis, reporting, and insight generation.
Conduct advanced data analysis and apply appropriate statistical techniques when needed to build or enhance analytical tools and business-facing solutions.
Ensure reports and underlying data are well governed by regularly reviewing them for accuracy, consistency, and relevance, and adjusting them as business needs and strategic priorities evolve.
What you should have:
An undergraduate degree in Statistics, Mathematics, Computer Science, Finance,
A minimum of 3 years working with advanced analytics and data science technologies.
A demonstrated proficiency in SAS, Python, and SQL and experience using a wide range of analytical techniques (e.g. supervised learning, clustering, natural language processing (NLP), time series analysis, regressions, correlations, statistical significance, sentiment analysis, & large language models).
Advanced proficiency in Power BI, including data modeling, DAX development, interactive dashboard creation, and designing intuitive visualizations for business and executive audiences.
Demonstrated experience working with Big Data technologies such as PySpark.
A broad understanding of the Canadian housing market including mortgage loan insurance, affordable/social programs, housing finance and socio-economic indicators.
A demonstrated experience using AI (e.g. generative AI, large language models) for solving problems.
Bilingualism (English/French)
Data Analyst – Level 5
University of Manitoba —Winnipeg, MB4.2
$32.12–$44.97 an hour
Date posted: February 4, 2026
Qualifications
A university degree is required.
One year of directly-related experience in research and data analysis is required.
Experience in a PC environment extracting and analyzing data from large databases is required.
Demonstrated proficiency with the current version of Microsoft Office, Microsoft Power BI and with SAS required.
An acceptable equivalent combination of education and experience may be considered.
SKILLS AND ABILITIES:
Must have superior problem solving and organizational skills, with the ability to manoeuvre in the political arena, and highly developed written and oral communication and interpersonal skills.
Must be able to multi-task and prioritize work.
Must have a working understanding of how to develop applications using Microsoft Power Apps and to develop reports using Microsoft Power BI.
Ability to prepare graphs, tables and reports to reflect results of analyses required.
Ability to explain results and point out any differences between primary data and other sources required.
Ability to organize and manage projects and to work collaboratively with colleagues and clients required.
Ability to work on multiple projects simultaneously in a fast-paced, deadline-driven environment is required.
Ability to work independently with minimal supervision or feedback is required.
Ability to exercise considerable independence in judgement, tact, diplomacy, and discretion in dealing with confidential matters required.
Satisfactory work record, including satisfactory attendance and punctuality, is required.
Key responsibilities
Assist in the development and support of Power Apps and Power BI reports developed by OIA as needed in conjunction with other staff within OIA.
Creating a document outlining the process involved in performing the analysis, including an outline of the purpose of the analysis or question the work is to answer, all datasets used in preparing the analysis, and a copy of the deliverables.
Work with experienced analysts in OIA to understand the admission, registration, and graduation data that is contained in the Aurora student data base and in the Operational Data Store (ODS).
Develop and/or enhance the skills necessary to extract and analyse data, using Excel, SAS, etc. Key to performing the assigned duties is an overview of the cycles and key events in the Aurora system.
Work with senior staff within OIA and the client to define the question being asked and then identify the data needed to best answer the question and the type of analysis to be performed prior to beginning the work.
Prepare analyses of data from various data sources that currently exists within OIA, such as Excel data files and Tableau datasets, or from the institution’s databases.
