2026-06-27 Data analyst Jobs
(1)https://jobs.dayforcehcm.com/en-US/superiorplus/SPCAREERS/jobs/39412
Customer Marketing Data Science Specialist
Superior Propane Inc.
Cambridge ON
$82,300 – $102,800
What you’ll do:
Business Collaboration & Influence: Partner with Marketing, BI, IS, and other teams to understand challenges, proactively identify opportunities, and shape decisions through data.
Data Storytelling & Communication: Translate complex analysis into clear, actionable insights; present findings in a way that drives understanding and decision-making across all levels.
Customer & Marketing Insights: Deliver analysis that informs segmentation, retention, campaign performance, and customer strategy.
Technical Execution: Work hands-on across the data lifecycle (data prep, modeling, analysis), applying advanced analytics and ML techniques to real business problems.
What you bring:
Bachelor’s degree
3+ years of experience in marketing, customer analytics, or data science in a business-facing role
Proven ability to own analytics projects end-to-end; from problem definition through to insight adoption and measurable business impact
Proficiency in SAS, Python, R, and/or SQL, with experience working with large, complex datasets
Experience working with cloud and data platforms such as Azure and Databricks
Experience with data visualization and BI tools such as Power BI, Tableau, or Looker to communicate insights effectively
Experience applying predictive modeling, segmentation, experimentation, and/or marketing analytics techniques
Ability to connect technical outputs to clear business insights and strategic recommendations
AI Engineer- Decision Science
BMO Financial Group
Toronto ON
$82,800 – $154,800
Date limite pour présenter sa candidature : 07/07/2026
Key Responsibilities
Design and deploy AI/ML-driven decision science solutions to support enterprise risk use cases including credit adjudication, collections, loan review, and risk monitoring.
Build automated decisioning frameworks to optimize labor-intensive processes and improve consistency, speed, and accuracy of risk decisions.
Sentiment analysis and behavioral modeling
Fraud detection and anomaly detection models
Apply modern ML techniques (e.g., gradient boosting, deep learning, NLP) to uncover patterns and generate actionable insights.
Process and analyze large, complex structured and unstructured datasets using Python, SQL, and SAS .
Perform exploratory data analysis, feature engineering, and experimentation to support model development.
Conduct pre- and post-implementation model analysis to evaluate performance, stability, and business impact.
Required
Master’s degree in Statistics,
3+ years of experience in machine learning, AI, or advanced analytics within financial services
Hands-on experience building and deploying ML/AI models for credit risk, fraud, or enterprise risk use cases.
Strong programming expertise in Python, SQL, and SAS .
Experience with decision science frameworks or automated decision systems.
Familiarity with LLMs and AI-based automation (e.g., NLP, agent-based workflows).
Solid understanding of model governance, validation, and regulatory expectations .
Experience working with large, complex datasets including both structured and unstructured data.
Preferred
Experience with data visualization tools (Power BI, Tableau, Spotfire).
Familiarity with cloud platforms (AWS, Azure, GCP) or big data tools (Spark, Databricks).
Senior Data Solutions Reporting Analyst
Co-operators
Guelph ON
$72,847 – $121,411
Posted: June 26, 2026
The Opportunity:
We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy.
As a Sr. Data and Reporting Solutions Analyst, you independently support Audit & Certification Services initiatives through scalable analytics and reporting solutions. You leverage deep knowledge of enterprise data sources and platforms to integrate, transform, and operationalize data across the organization. The role focuses on building automated, reliable data pipelines, improving data quality, and reducing manual effort. Using strong business and risk acumen, you translate technical requirements into actionable insights that support audit execution, risk monitoring, and informed decision making.
How you will create impact:
Advanced knowledge of SQL, Python, R, SAS, VBA, Azure Data Factory, Databricks, and enterprise data integration tools to develop scalable data and analytics solutions.
Strong experience building and maintaining automated data pipelines, workflows, APIs, and data transformation processes to support reporting, auditing, and analytics.
Proven ability to extract, reconcile, integrate, and validate data from multiple enterprise systems while ensuring data quality, accuracy, and traceability.
Expertise designing and developing dashboards, reports, and self-service analytics solutions using Power BI, Azure Synapse, MicroStrategy, Excel, and related platforms.
Ability to translate business and audit requirements into actionable reporting, analytics, and automation solutions that improve efficiency and decision making.
This position primarily works with majority non-francophone groups, and teams located outside of Québec, and requires proficiency in English.
(4) https://jobs.thermofisher.com/global/en/job/R-01354941
Research Scientist – Epidemiology and Scientific Affairs
Thermo Fisher Scientific Co.
Essential Duties (other duties may be assigned)
Scientific Accountability: Design and implement de novo data collection studies (retrospective, prospective, and/or cross-sectional), primarily for pregnancy safety studies. Conceptualize advanced study designs, supervise the development of study protocols, study reports, and other scientific deliverables. Review statistical analysis plans. Ensure project completion and quality delivery.
Deliverables: Review and finalize project deliverables ensuring validity and reliability of study findings.
Project Management: Oversee budget, deliverables, and project timelines; identify scope expansion and need for amendments.
Participate in client calls and address questions about your work.
Proactively identify issues and develop strategies for mitigation and/or effective solutions.
Provide scientific consultation and use the best methods to address research needs.
Education, Professional Skills and Experience
Education: PhD in epidemiology or a closely related field, or MSc with at least 5-7 years of relevant experience. Degree in perinatal epidemiology, preferred.
Experience: Minimum 5+ years of consulting experience (or equivalent) preferred; 3-5 years of management experience preferred. Experience with peri- or post-approval late phase interventional studies and pregnancy/lactation studies is preferred.
Knowledge: Broad experience in quantitative methods in real-world evidence and health services research, with the focus on design of non-interventional studies and data analysis using observational retrospective and prospective data. Strong understanding of relevant methodology and biostatistics. Knowledge of drug development process and international regulatory requirements.
Technical Skills: Proficient in MS Office; ability to read and understand SAS/STATA output; working knowledge of data analysis software (e.g., SAS, Stata, R) is a plus.
Credit Risk Modelling Senior Associate
PWC / PricewaterhouseCoopers LLP
Toronto ON
Responsibilities include but are not limited to:
Model development, validation , internal audit of Retail and Wholesale credit risk methodologies including obligor and facility risk rating, Basel regulatory capital and economic capital models, allowance for loan and lease loss models (e.g., IFRS9).
Artificial Intelligence (AI)/ machine learning (ML)/Generative AI (GenAI) model development and validation
Model risk governance and controls related activities supporting clients in managing model risk across multiple asset classes
Collaborate with the team members at various levels to lead and develop compelling client proposals,
Experiences and skills you’ll use to solve
Proficient experience and exposure to financial services risk practices, credit risk modeling including retail and wholesale credit modeling techniques for adjudication, capital management, and allowance modeling/ or calculations ( e.g. IFRS9)
Development, validation and assessment of quantitative credit risk measurement methodologies
Proficient experience and exposure to AI/ML modeling, including theoretical approach and related technology and platforms ; significant experience and proven ability in at least one of the main AI platfo rms: Vertex AI, Azure AI, etc. is preferred
Solid understanding and knowledge of credit risk processes, credit risk analytics, risk rating methodologies, risk management policies and risk management organization structures
Significant experience and proven ability in at least one of the following programming languages/ software : Python, R, SQL, SAS, C++, etc.
Master’s degree
(6) https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant–Data-Governance_2613046
Consultant, Data Governance
CIBC
Toronto ON
End Date: July 11, 2026
How You’ll Succeed
Business Effectiveness – Identify and recommend changes that enhance operations whether through technology or other processes to ensure the efficiency and effectiveness of the department.
Strategic Thinking Approach – Drive, manage and execute data and reporting projects and initiatives in alignment with CIBC Strategy while supporting the business goals, objectives and key performance indicators.
Communication – Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, processes, and technology solutions to others with different disciplinary backgrounds. Ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation.
Who You Are
You have relevant experience . You bring 3-5 years of experience implementing or executing data governance, preferably within a financial institution, and have worked in a regulatory environment.
You demonstrate strong analytical and technical skills. You have experience with programming languages and modern big data, analytical, and dashboard tools such as SAS, SQL, Python, R, Hadoop, Spark, Alteryx, Tableau, Power BI, and Cognos.
You have data science expertise. You can extract and clean large datasets, build predictive machine learning algorithms, and communicate complex technical findings to guide business strategy.
You understand business operations. You have knowledge of retail banking, marketing, and contact center/phone channel businesses, and can navigate the integration and interdependencies across lines of business.
You are an effective communicator. You produce clear, organized business documents and express yourself well verbally, adapting tone, style, and structure for your audience.
You have a risk mitigation mindset and Agile experience. You design processes with risk mitigation in mind, support audits and exams, and have delivered results within an Agile Delivery Framework.
Senior Analyst, Campaign Management
BMO Financial Group
Toronto ON
$56,000 – $103,500
Application Deadline: 07/09/2026
What you will be doing:
Develop and execute direct to consumer campaigns:
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
Support the lead generation cycle by monitoring file execution processes and ensure final output meets regulatory requirements, is complete and available for execution by internal systems and external vendors
Ensure campaign requirements have documented business partner approval prior to file development and execution.
Make recommendations to streamline, enhance and improve overall operations
Contribute to campaign definition documentation and template library to support standardization of customer data extracts
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
Ability to prioritize, handle multiple tasks, quickly shift between competing and sometimes conflicting priorities in a high pressure, fast-paced environment
Business Data Analyst
Canadian Tire
Oakville ON
$53,000 – $88,000
End Date: July 9, 2026
What You’ll Do:
As the Business Data Analyst, you will provide structured transparency and management of our data assets. By focusing on data sourcing, integration, data quality and governance principles, the Business Data Analyst will ensure we know where our data comes from, is stored, is going and how it is being used and transformed along the way. The Business Data Analyst will enable a collaborative data environment where all stakeholders have access to the data they need, understanding, confidence and trust in the data they use and support for the data they steward.
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
Experience working with data in a corporate environment and supporting cross-functional data governance including monitoring data quality, recommending improvements in data, data modeling, data classification and data governance capabilities
Clear understanding of data management concepts: Big data/Hadoop, data lake, data warehouse, data mart, relational databases, data ingestion/ETL, master data
Analytical mindset and critical thinking skills
Advanced working knowledge of Microsoft tools including Visio, PowerPoint and Excel
Statistical Analyst
Medical Council of Canada
Ottawa ON
$86,000 – $97,000
What you’ll do
Conduct routine and ad hoc statistical analyses using SAS (and Python/SQL as needed) to support exam processing, scoring, quality assurance, and research activities.
Apply statistical and psychometric methods to analyze data, identify trends or irregularities, investigate root causes, and recommend improvements.
Translate complex data into clear summaries, reports, tables, and visualizations, and communicate insights to psychometricians and stakeholders.
Apply statistical models to address research questions and support evidence-based decision-making.
Develop, maintain, and enhance scoring systems and analytical tools, with a strong focus on SAS programming, alongside Python and SQL.
Automate reporting processes (e.g., technical and executive reports), improving efficiency and consistency through SAS-based solutions.
Develop and maintain clear documentation for SAS code, analytical processes, and tools.
What you need to succeed
3-5 years’ experience in data analysis, reporting, and utilizing advanced statistical analytics techniques.
Demonstrated experience with statistical inference and statistical modeling (e.g., regression models, clustering, factor analysis) using Python or SAS. Experience with machine learning algorithms is an asset.
Demonstrated experience with interpreting data and analyzing results using statistical techniques, developing processes of data cleaning and preparation, and assessing data quality.
Experience with automating reports and other forms of data visualization.
Experience with documenting code and procedures.
Proficiency in Python programming (data extraction, data wrangling, analysis, visualization).
Proficiency in SAS programming (standard SAS procedures including PROC SQL, PROC Report, PROC SGPLOT and SAS Macros) to conduct analysis and generate customized reports.
Proficiency in developing complex and customized SQL queries for relational databases.
Experience with business intelligence tools (e.g., Tableau, Microsoft Power BI) is an asset.
Masters in statistics, mathematics, educational measurement, psychometrics, psychology, quantitative methodologies or equivalent
Health Analyst
Public Health Ontario
Toronto, ON
Compensation Range :$71,372.00 – $99,922.00
Posting Date: 06-19-2026
Key Responsibilities-
Analyzes, interprets and develops reports of health data using appropriate methods in response to inquiries from Digital and Data Portfolio colleagues and PHO staff.
Conducts the routine analysis of large data sets for the interpretation and production of basic population health assessment and surveillance reports.
Prepares and disseminates health status and surveillance information in various formats including reports, charts, graphs, maps and community health profiles.
Writes and executes programs for data extraction, data set creation and analysis using statistical software packages (e.g., R, Python, SAS).
Contributes to the transition of SAS programs to R and python as appropriate.
Supports the development of legacy system replacement by gathering, analyzing, and profiling related health data.
Maintains electronic access to data holdings, information systems and appropriate interfaces to ensure an organized and clean file structure of the PHO’s large data sets.
Supports the portfolio’s data quality assurance efforts through the application of proven analytical approaches to identify errors or limitations in the data and to improve data validity.
Maintains relationships with database and analysis experts within the broader public health system to keep up to date in the area of data quality, data management and analysis, and related technologies.
Works with staff across PHO to assist in developing data set creation and analysis plans which require access to different public health data holdings.
Completes program and project documentation according to applicable standards and guidelines.
Contributes to the ongoing development of standard operation procedures for data set creation, analysis and reporting.
Performs other related duties as assigned.
Knowledge and Skills-
Familiarity with public health information systems such as the Integrated Public Health Information System (iPHIS) and ability to work with large data sets and utilize a range of information systems.
Skilled user of Microsoft Excel and Access, statistical packages (primarily R and SAS) and BI tools such as Cognos. Experience with Power BI or Databricks is considered an asset.
Knowledge of population health indicators, epidemiological concepts, public health research, statistical analysis, health analytic methods, and techniques to analyze data, (including trend analysis using any statistical software). Ability to use this information and work with content experts to define their data needs would be an asset.
Knowledge of recognized health data and information standards and coding (e.g., SNOMED CT, ICD-10)
Understanding of medallion data architecture and cloud-based data curation and quality tooling would be an asset.
Familiarity with local public health unit disease of public health significance data and reporting practices would be an asset.
Knowledge of stakeholder groups, building public health, research, academic, institutional, and professional networks, and working at local, provincial/territorial, and/or federal levels would be an asset.
Knowledge of and skilled in effective time management methods and techniques to plan, develop data set creation and analysis plans for projects.
Knowledge of current public health issues related to communicable diseases and emergency preparedness.
Bachelor’s degree in health sciences, biostatistics or equivalent combination of education and related experience.
Minimum of two (2) years of experience in the collection, collation, analysis and interpretation of health data.
Experience with database design, health analytics, and public health methods and data analysis techniques.
