2025-10-25 data analysis Job description
PSYCHOMETRICIAN, LEARNING ASSESSMENT PROGRAMS
CMEC Council Of Ministers of Education, Canada —Remote
The Psychometrician applies their expertise to test development and sampling, as well as to carrying out psychometric analyses of assessment instruments;…
$74,114–$109,214 a year
Key responsibilities
Establish methodologies and procedures for analyzing cognitive and questionnaire data
Model large-scale assessment data using classical test theory as well as item response-theory models
Generate and validate assessment results and data sets at the pan-Canadian, provincial/territorial,
Conduct statistical analyses using sampling, achievement, and contextual data and analyze comparisons, associations, trends, and different variables of interest
Develop detailed and complex sampling plans based on assessment and international standards, and advise on sampling-related processes and data
Assist in the development and analyses of assessment frameworks and technical standards
Assist in the development and review of questionnaires for students, teachers, school principals, and parents/guardians of students
Key qualifications
Graduate degree (master’s or PhD) with specialization in psychometrics, educational measurement, and/or assessment
A minimum of two years’ experience in analyzing and managing large data sets (experience with large-scale assessment data sets is considered an asset). Such experience is typically gained through work at related organizations, preferably within the education sector or government institutions
Experience in research methodology and design, psychometric methods, statistical analysis (such as multivariate and multilevel modelling), and reporting
Proficiency using advanced statistical packages (e.g., R, SPSS, SAS, Stata) to analyze data sets
Senior Analyst, Supply Chain Network Deployment
Loblaw Companies Limited —Brampton, ON3.4
Areas of focus for the team are the enablement of strategic priorities; including the implementation of warehouse automation technologies, owning the roadmap…
What you’ll do:
Coordinate implementation of small to large supply chain network , including network transitions, warehouse automation initiatives and logistics process changes.
Support the Flow Pick-to-Zero roadmap, responding to inquiries from warehouse, replenishment, transportation, and merchandising teams.
Perform cost-benefit analyses on potential changes to the supply chain network, including improving store service, increasing labour productivity, reducing inventory and strengthening transportation efficiency.
Provide on-site support during project implementation as required, occasionally outside standard business hours.
Bring commitment to promoting a workplace of inclusiveness and belonging.
What you bring:
University degree in Industrial Engineering, Business Management or Supply Chain Management
3 – 5 years of related experience in an analytical, engineering or project coordination role; ideally in a retail or supply chain environment.
A curious mindset and the ability/desire to learn new concepts and processes quickly.
An analytical mind with the ability to take an analytics request and turn it into actionable insight.
Strong communication and collaboration skills, presenting and working with colleagues/vendors/customers from varying backgrounds.
Experience with Microsoft Excel, and database querying (e.g. SQL, Access, SAS Enterprise Guide) is strongly preferred.
Customer Analytics Student (4 months) – Winter 2026
CT Bank —Oakville, ON3.5
Aid in the development of marketing campaign targeting, incorporating test and learn strategies for digital/email/traditional channels based on objectives…
The student will assist the analysts on the team by aiding in campaign test design and building post analytic campaign work to deliver customer insights:
Aid in the development of marketing campaign targeting, incorporating test and learn strategies for digital/email/traditional channels based on objectives
Explore and analyze data from multiple databases and resources.
Develop new data visualization dashboards while enhancing and maintaining existing reports; utilizing platforms such as Tableau.
Generate ad-hoc analysis based on customer data and transactional behaviour,
Update and enhance knowledge documents that help support the Customer Analytics & Strategic Insights team.
What you bring:
Currently enrolled in a post-secondary program in Mathematics, Statistics, Commerce, Economics, Computer Science, or a related discipline
Demonstrated superior analytical, mathematical, and problem-solving skills
Previous programming experience (e.g. Python/SAS/R/SQL)
Strong proficiency of Microsoft Office Suite (Excel, Word, PowerPoint etc.)
Data visualization development using Tableau, or similar tooling, is an asset
Senior Data Analyst (Finance)
407 ETR —Woodbridge, ON3.7
Prepare detailed trend analysis, business models, and develop links that are critical in understanding accounts receivable, revenue, cash receipts and
Duties and Responsibilities:
Enhance and maintain the current financial model for the determination of the Expected Credit Losses (ECL) for Financial Reporting under IFRS 9, analyzing periodic results.
Develop queries in SQL to extract data from various data warehouses to be used as inputs for financial models as well as for ad-hoc reporting.
Prepare detailed trend analysis, business models, and develop links that are critical in understanding accounts receivable, revenue, cash receipts and collections;
Develop, monitor and maintain data warehouses including updating, adding new data requirements and ensuring data integrity.
Create and update finance dashboards using Tableau.
Automate manual processes by leveraging scripting or programming languages to improve efficiency
Qualifications:
Bachelor’s Degree – Accounting , Finance or Computer Engineering.
Finance/Accounting Designation (e.g. CPA or CFA) is an asset.
Minimum 5 years of experience in financial reporting or analytics role.
Advanced proficiency in SQL, database systems and cloud platform is required, preferably on financial and customer data.
Experience with large data sets, Peoplesoft, SAP, Salesforce, and SAS is considered an asset.
Sound Experience in financial analysis, accounting, and understanding business operations, analyzing both qualitative, and quantitative results.
Exceptional working knowledge of MS applications including Access, Excel, Outlook, and PowerPoint.
Experience with various software including, Python, Dbeaver, Tableau, Power BI, is considered an asset.
CIDM Design & Execution Manager
Royal Bank of Canada —Toronto, ON3.9
Strong project management and implementation skills – time management. Responsible for development of complex campaigns, integrating and leveraging learnings…
What will you do?
Provide complete, accurate and timely Campaign Execution
Responsible for translating technical specification into code for the timely deployment of Direct Marketing tactics through a variety of channels
Complete quality assurance audits to ensure the campaign design
Follows all Data Stewardship and Governance policies and processes that align to and support Canadian Banking business strategies and priorities
Highly skilled at data mining
Responsible for development of complex campaigns, leveraging learnings from past and post campaign
Ensure that all CRM concepts (including predictive models) and CIDM standard methodology
What do you need to succeed?
3+ years speciality expertise – relational database marketing and structured programming concepts, including the use of data analytic and decisioning tools (e.g., SAS, SQL, Python)
3+ years’ experience in application of experimental design
Strong written/oral communication skills to develop and convey thoughtful and insightful explanations
Ability to work steadily and accurately under pressure, especially during peak periods
Strong experience in the financial services industry, including understanding of marketing is an asset
Data Scientist (Cloudera)
Nets-International Communication- USA —Toronto, ON
This role involves leveraging large datasets to derive actionable insights and develop predictive models that drive strategic decision-making.
$64,182.35–$127,516.32 a year
Responsibilities
Analyze large, complex datasets to uncover actionable insights, patterns, and trends
Design and deploy machine learning models using frameworks such as TensorFlow, Spark MLlib, and R.
Manage data pipelines and ETL processes using Cloudera Data Platform (CDP)
Utilize Python, SQL, R, and Java for data manipulation, statistical modeling, and algorithm development.
Apply unsupervised and supervised learning techniques for clustering, classification, and regression task
Conduct natural language processing (NLP) projects to enhance intelligent automation and customer experience.
Create interactive dashboards and visualizations using Looker, Tableau, or Power BI
Work with linked data and semantic analytics concepts for integrated data analysis across systems.
Stay current with advancements in big data, quantum computing, and AI technologies
Required Skills & Experience:
Proficiency in Cloudera ecosystems (Cloudera Data Science Workbench, Hadoop, Hive, HBase, Impala)
Expertise in machine learning frameworks – TensorFlow, PyTorch, Spark MLlib, and Scikit-learn.
Experience with ETL tools such as Talend, NiFi, or AWS Glue for data ingestion and transformation.
Proficiency in Python, R, SQL, Java, C, and Bash for data analysis and automation.
Solid understanding of statistical modeling, data mining, and predictive analytics.
Familiarity with AWS, Azure, or GCP for cloud-based data processing.
Experience deploying and monitoring ML models in production environments.
Knowledge of SAS, Looker, or other analytics platforms for reporting and visualization.
Specialist, Scoring & Modeling
Fairstone —Toronto, ON3.5
Demonstrated understanding of credit risk model development, validation, and monitoring techniques. As a Specialist, Scoring & Modeling, you will lead model…
WHAT WILL YOU WORK ON?
Lead model development projects, with focus on credit risk scorecards, using various modeling techniques including Decision Trees, Logistic Regression and Machine Learning algorithms
Extract, manipulate, and analyze raw data using mainly SAS to deliver timely, value-added insights
Develop and maintain comprehensive model documentation that adheres to regulatory standards
Develop, maintain, and review model monitoring and validation reports and provide insight
Take lead in liaising with external partners such as credit bureaus and modeling consultants, to ensure credit bureau data needs and analytic requirements are met
WHO ARE WE LOOKING FOR
Minimum 4 years of hands-on experience in analytics and predictive modeling within the financial services industry, ideally in a Credit Risk Analytics environment
Bachelor’s or Master’s degree in a quantitative discipline such as Statistics, Economics
Demonstrated understanding of credit risk model development, validation, and monitoring techniques
Strong knowledge of statistical techniques and concepts (regression, gradient boosting, neural networks, clustering, etc.) with the skill to determine the appropriateness of a technique
Strong data science capabilities, with proven experience in manipulating data using SAS, SQL, or Python
Experience working with large-scale databases, data mining, and data warehousing
Familiarity with Canadian raw credit bureau data is considered a strong asset
Advanced skills in Microsoft Excel (e.g., pivot tables, index-match functions)
Sr. Analyst, Fraud Analytics
CIBC —Toronto, ON3.7
We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit…
How You will Succeed
Analytical Thinking – Improve fraud monitoring by creatively responding to fraud trends and mitigate risk surrounding new operational processes. Guide strategy by providing evidence based analytical solutions. Conduct complex feasibility studies and cost/benefit analysis
Data Management – Creation and maintenance of computer programs (ex: SAS, SQL, Python) to access a decision support data repository. Database management/querying, and computer programming/software expertise.
Communication Skills – Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, interpretation, and assessment.
Who You Are
You are confident in your ability to communicate detailed information in an impactful way. You have experience using SQL, SAS EG, SAS Miner, Tableau and/or Python.
You have a degree/diploma. Master’s level degree would be an asset.
You love to learn. You are passionate about growing your knowledge, and you know that there is no limit to what you can achieve. You are current in new modeling and analytical techniques and constantly seek to improve your knowledge in this field.
You look beyond the moment. You make decisions and take actions that will make a difference today and tomorrow. You proactively seek new opportunities to define what is possible. You are curious and proactive; you constantly offer innovative solutions based on sound analysis.
Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability.
Manager, Collections Strategy & Analytics
Scotiabank —Toronto, ON3.9
Must have a University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics) or a Master degree in business, statistics,…
Accountabilities
Continous improvement of collection strategies from a credit risk perspective,
Deliver on analytics porjects that provide actionable insights to improve collection efforts and recoveries by understanding customer
Promoting the reengineering of processes to lower losses, improve dollars collected, improve productivity and reduce costsCredit Strategy Implementation
Represent Risk’s point of view and liaise with the stakeholders (operations, product owners, collections, technology, governance) throughout the organization to listen actively, communicate, and explain risk measures clearly and as appropriate identify, evaluate, and address credit risk that arises from the development, deployment, interpretation, and maintenance of collection strategies
Support investigations and solutioning for questions/findings from OSFI and Internal Audit in an appropriate /acceptable timeframe.
Requirements
A minimum of five years with an organization focused on improving the customer experience and automating processes
Proficiency in programming and/or database programs (SAS, SQL, Python) and other analytical tools (Power BI)
Excellent communication and written skills complemented with analytical & problem-solving skills
Knowledge of credit scoring and risk assessment as well as portfolio management and behaviour scoring to maximize the effectiveness of existing technology in providing competitive and effective policies that respond to the credit needs of our customers
Prior experience in a credit risk or collection strategies is preferred
Must have a University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics) or a Master degree in business, statistics, economics, mathematics
Data Analyst
University of New Brunswick —Fredericton, NB4.2
The University welcomes and encourages applications from all qualified individuals who will help us achieve our goals, including women, visible minorities,…
$65,069–$88,681 a year
Position Summary
Prepare analytic data sets. Conduct and interpret data analyses using population-based administrative, clinical registry, and survey data.
Assist researchers in the development of study protocols, data measures, data creation plans, and analytic plans. Provide guidance to research assistants.
Assist researchers in the preparation of forms required for access to Data NB’s data.
Provide research support to users in the Data NB’s lab.
Output, interpret, and communicate statistical results verbally and in writing.
Clean, manage, and analyze large provincial administrative databases.
Complete data stewardship functions, including data validation to ensure its accuracy.
Create and update reference guides for data sets.
Provide counsel on accurate analytical estimates for data analysis quotes
Assist GNB departments and external agencies in preparing data sets to move to Data NB’s repository.
WHAT YOU BRING
A master’s degree in Education, Economics, Health Sciences, Biostatistics, or a related field.
3-5 years’ experience in manipulating large complex data sets and applying statistical methods and principles to services research.
Experience with administrative data such as student records, immigration data, health care registries, or related databases, and with survey data.
Well-developed conceptual and analytical skills. Strong knowledge of descriptive statistics, statistical inference, survival analysis, and advanced statistical modelling.
Excellent knowledge of statistical software (SAS, STATA, R, MATLAB) and Microsoft Office.
