2025-10-20 Data analysis Job Description
Scientist – VIE Contract
Sanofi —Toronto, ON4
Analytical Sciences Immunology is participating in a global company initiative to design tests for vaccine product testing to replace/reduce/refine animal…
Main responsibilities:
The position involves performing techniques related to immunological /immunochemical analyses of vaccine antigens, antibody reagents, and providing laboratory logistics support.
Supports vaccine antigen and overall vaccine characterization and investigation requests using in vitro and /or in vivo immunological and/or cell-based methods including (but not limited to) ELISAs, antibody-based assays involving various sensor platforms (Biolayer interferometry), neutralization assays, binding assays, cell-based assays.
Supports documentation review and archiving process for equipment, sample and reagent logbooks, laboratory notebooks and data binders.
Promotes communication and good teamwork to ensure flexibility in the work place, and to support the completion of the objectives.
Experience:
Experience in basic immunology, cell biology, biochemistry, and/or microbiology laboratory techniques.
Knowledge of statistical tools (R, SAS, Matlab, etc.) would be an advantage.
Proficient use of Microsoft Word, Excel, PowerPoint.
Strong verbal and written English communication skills.
Solid analytical skills.
Master’s degree in Cell Biology, Immunology, Molecular Biology or equivalent.
Master Data Analyst
Loblaw Companies Limited —Brampton, ON3.4
Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to…
What You’ll Do:
Support & implement established data standards and guidelines that relates to Enterprise Data Policies and Procedures in Article Creation and Article Maintenance
Provide store support and conduct work in a timely manner
Proactively supervise data accuracy and facilitate required data corrective actions with business owners, like Merchandising Team, Supply Chain, Costing, Vendors and other internal groups
Partner in resolving master data discrepancies, SLA (Service Level Agreement) impacts, or other operational challenges affected by master data issues
What You Bring:
Post-Secondary education in Business or related field, or equivalent related experience
Store level retail experience is an asset
Must have intermediate to advance Microsoft Office skills
Must be detail oriented and highly organized
Experience/knowledge with SAP and SQL/Python /R/SAS /Panda /Jupyter is an asset
Premium Analyst
Premium Retail Services —Mississauga, ON3.1
Leverage analytics to develop solid Key Performance Indicator (KPI) strategies for field execution and/or account management. What’s in it for you?
What will you do?
Leverage existing systems and field data to provide regular analytics on the state of the business.
Provide analysis of environmental and competitive activity
Present data to clients and all levels of management and gain buy-in based on the credibility of analytics.
Manage statical analysis of results to identify impact with verification
Leverage analytics to develop Key Performance Indicator (KPI) for field execution or account anagement.
Compile data into professional reports
How will you succeed?
Maintaining expert proficiency in excel programs, creating visually stunning Reports with thousands of lines of data.
Understanding of retail environments and consumer insights to utilize when recommending effective in-market strategies.
Bachelor’s Degree required. A Master’s Degree is highly desirable.
Experience in retail operations, retail distribution, shopper insights, merchandising, sales, shopper marketing, and service organizations preferred.
Microsoft Office Suite (Outlook, Word, Excel, PowerPoint) proficiency.
Exceptional skills in creative problem-solving, study, and reporting design, time management, self-confidence, data mining, analysis, accountability, practicality, client relations, communication, and presentation.
Experience using Sisense, PowerBI (or other Business Intelligence tools) required.
Proficiency with SQL-based data query languages required.
Experience with scripting languages (Python) required.
Experience with (SAS) and data mining software (SPSS) is not required but preferred.
Proven knowledge of the ‘ebb and flow’ of retail statistics and enhancing brand performance through analysis.
Senior Data Analyst
Government of Alberta —Edmonton, AB3.8
It is recommended that applicants include the assessment certificate from IQAS or any other educational assessment service as part of their application.
$71,967–$94,068 a year
Closing Date: October 30, 2025
Job Responsibilities
Manage data validation, cleansing, and transformation to ensure accuracy, completeness,
Conduct regular audits and quality checks to identify anomalies and implement corrective actions.
Apply statistical and data science techniques to identify trends, patterns, and actionable insights from complex datasets.
Develop predictive models, dashboards, and performance indicators to support strategic planning and policy development.
Develop and refine survey instruments to support data collection across public safety and new home buyer systems.
Provide expert advice on sampling strategies, questionnaire design, and data collection methodologies.
Coordinate the preparation and statistical analysis of divisional public performance metrics.
Qualifications
University Degree plus 4 years of experience
Extensive experience (typically 4+ years) in applied data analysis, statistical modeling, and performance measurement in a public sector or complex organizational environment.
Proven track record in managing data projects, including survey design, data integration, and reporting.
Experience managing contracts and vendor relationships related to data services or analytics platforms.
Advanced proficiency in statistical software and programming languages such as SAS, R, Python, or SPSS.
Strong working knowledge of SQL and experience with relational databases and data warehousing environments.
Familiarity with business intelligence tools (e.g., Power BI, Tableau) for dashboard development, integrating/updating different source data, ETL applications/techniques and data visualization.
Strong project management skills, including the ability to prioritize competing demands and deliver high-quality results under tight timelines.
Knowledge Translation & Evaluation Specialist (Full Time, 6 Month Contract)
Amplify Care —Kitchener, ON
Master’s degree in program evaluation, epidemiology, or in a health-related field with a focus on research and/or evaluation; Credentialed Evaluator status is…
Key Roles and Responsibilities:
Collaborate with staff, management and external partners in the planning and evaluation of digital health initiatives
Manage large data sets and ensure ongoing data validation and usability, data analysis and reporting
Contribute to the development and implementation of evaluation plans, to assess organizational, clinical, and system-level outcomes associated with the implementation of digital health solutions in different health care settings
Create and administer data collection tools to gather and analyze data, and communicate results in various formats, aligning with partner needs for information
Contribute to program-wide data governance activities driving ongoing improvements in the quality and management of information assets, and protection of sensitive data in alignment with data governance framework
Work closely with the Manager of Knowledge Translation and Evaluation and collaborate with the KTE team across the organization to drive advancements and excellence in the KTE functional area
Ability to manage dashboard views of data sets and provide training, if required, for new users
Experience, Skills & Qualifications:
Ability to interpret and explain research methods and results in plain language across diverse audiences and decision-makers.
Master’s degree in program evaluation, epidemiology, or in a health-related field with a focus on research and/or evaluation; Credentialed Evaluator status is an asset.
Excellent critical thinking, problem-solving, analytical and conceptual thinking skills.
Experience with preparing reports and ensuring quality of reports and data. Experience with Power BI, or other analytical dashboarding is an asset.
Strong skills in quantitative and qualitative data analysis; ability to translate data into consumable visuals and reports for target audience. Experience using analysis software (NVivo, SAS, R) considered an asset
Experience working with AI tools for research considered an asset
Manager, Credit Risk, Retail Credit Risk
Scotiabank —Toronto, ON3.9
Your responsibilities include designing, developing, and implementing credit risk strategies, exploring ideas to enhance retail lending portfolios within risk…
Is this role right for you? In this role, you will:
Develop, monitor, and evaluate credit lifecycle strategies (e.g. credit origination, account management) and portfolio performance, partnering with business partners to deliver actionable insights
Lead strategy design thinking with business partners, subject matter experts, and external consultants. Enhance risk-reward predictions, customer segmentation, credit limits, risk-based pricing, and fraud detection across the full credit lifecycle (e.g., credit origination, account management, collections).
Leverage advanced analytics and AI/ML tools to analyze large volumes of structured and unstructured non-traditional data, developing innovative credit solutions and policies to support growth and strategic optimization in the Caribbean market.
Provide strategic recommendations to senior management on portfolio insights, strategy enhancements, and ad-hoc analyses. Monitor key performance indicators for scalable deployment in an agile and rapid environment.
We’d love to work with you if you have:
University degree in a relevant STEM discipline (Science, Technology, Engineering, and Mathematics).
Proficiency in big data tools and programming languages (e.g., SAS, SQL, R, Python)
Experience with data visualization tools, with a preference for Power BI.
Ability to work with large volumes of structured and unstructured non-traditional data.
Familiarity with collaboration tools (e.g., Jira, Confluence) to connect stakeholders
Strong communication skills to translate technical knowledge into business value.
Minimum 3 years of proven working experience in statistical analysis and/or statistical modeling roles (preferred in retail, financial, and digital industries)
Associate Consultant Intern, Summer 2026 – Vancouver, Canada
Mastercard —Vancouver, BC4
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving…
$1,300 a week
We are recruiting for 2 career tracks that make up our team:
1. Strategy & Transformation
Guide clients through strategic, tactical, operational, and transformational challenges to enhance performance and operations. Our engagements cover diverse areas, including product development, marketing, customer loyalty, and innovation.
Sampling of questions we help our customers answer:
How can a global financial services institution be successful at entering a hyper competitive new market?
How can a customer improve its operating model to better achieve operational, financial and strategic goals?
2. Performance Analytics
Use quantitative and qualitative skills and enterprise applications (e.g., Business Intelligence Platforms, SQL, Python, and more) to drive data-led consulting solutions for customers. Weave together vast amounts Mastercard, client & 3rd party data assets to investigate trends, build propensity models, develop data visualizations, and synthesize millions of data points into a cohesive story.
Sampling of questions we help our customers answer:
o How does a financial institution’s fraud/authorization metrics fare against competitors, and what are strategies that can help it be best-in-class?
o How is a technology customer’s market share changing over time, and are there any segments where the client is relatively under penetrated?
We recruit for and value the following core competencies:
Passion: Actively seeks responsibility and takes pride in delivering the highest quality results and recommendations to our clients.
Analytic Excellence: Demonstrates a strong aptitude for structured problem solving, analytical and quantitative skills. Experience using data analysis or querying tools (e.g., SQL, SAS, Excel or Tableau) is an asset (particularly for Performance Analytics or Business Experimentation tracks).
Business Interest: Clear interest in the world of business, and intuition for the way that companies make decisions.
Application Deadline – December 17@11:59 PM EST.
Recruiting/Interviews happen in January, 2026.
Data Analyst
YMCA BC —Vancouver, BC3.3
Support the design, development, and maintenance of Power BI dashboards and reports for operational and leadership use. Competitive vacation and paid sick time.
$54,000–$56,000 a year
Major Responsibilities- in this position, you will:
Perform data entry, validation, and quality checks to maintain accurate datasets across assigned YMCA BC portfolios
Extract, transform, and load data from various sources into structured formats for analysis and reporting
Assist in data extraction and SQL queries from various sources, ensuring data integrity and completeness
Clean and validate data to ensure accuracy, consistency, and reliability
Support the design, development, and maintenance of Power BI dashboards and reports
Design and optimize reports and dashboards that provide actionable insights for decision-making
Analyze complex data sets to identify trends, patterns, and opportunities for improvement
Collaborate with senior analysts on documentation, data cleaning, and report automation tasks.
Provide support for Salesforce data tracking and reporting, as skills and interest allow
Qualification-you bring:
University degree in Statistics, Social Sciences, Information Technology, or a related field
Strong analytical skills with the ability to collect, organize, analyze, and interpret large datasets with attention to detail and accuracy
Proficiency in SQL for data extraction and manipulation
Experience with statistical analysis tools such as Excel, SPSS, or SAS
Skilled in designing and maintaining dashboards using visualization tools like Power BI or Tableau
Familiarity with reporting packages (e.g., Business Objects), programming languages (e.g., XML, JavaScript), and ETL frameworks
Adept at writing queries, generating reports, and presenting findings to diverse audiences
Ability to validate large datasets, resolve discrepancies, and design visuals that clearly communicate insights
Understanding of the impact of data integrity on operational and strategic decision-making
Data Analyst (BI) – Operate
Deloitte —Montréal, QC3.9
Bachelor’s degree in Computer Science or a related discipline recognized by the Ministry of Higher Education (equivalency accepted as per government standards).
$72,000–$138,000 a year
What will your typical day look like?
Collect, cleanse, and analyze datasets to deliver actionable insights for business stakeholders.
Use SQL and scripting languages to extract and automate data collection from multiple sources.
Perform quality checks and validations to detect and correct errors or inconsistencies.
Create reports, interactive dashboards, and visualizations to communicate results clearly and concisely.
Implement processes to automate regular report generation, using scripts or automation tools to ensure consistency and save time.
Ensure the protection of sensitive data and compliance with data privacy regulations.
Maintain detailed documentation of data collection and extraction processes, including data sources, extraction methods, and tools used.
You are someone with:
Minimum of 6 years of experience in the IT field.
At least 3 years of experience in business intelligence within the last 6 years, specifically with:
SQL Server or Oracle; SSIS (SQL Server Integration Services); Python
SQL Server Management Studio; Power BI Desktop
Proven experience in:
Collecting, cleansing, and analyzing datasets to provide actionable insights
Using query languages (such as SQL) and specialized tools to extract raw data from various sources, including scripting for process automation
Writing and optimizing SQL queries
Creating detailed reports and maintaining documentation related to various tasks
Bachelor’s degree in Computer Science or a related discipline recognized by the Ministry of Higher Education (equivalency accepted as per government standards).
Experience with:
AWS (Amazon Web Services); SAS
Data Scientist
BMO Financial Group —Toronto, ON3.7
A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
$67,200–$124,200 a year
Key Responsibilities
Partner with marketing and cross-functional teams to understand business needs and deliver analytical solutions that drive better marketing outcomes.
Design, develop, and implement innovative data science models to support marketing initiatives such as customer lifetime value (CLTV) prediction, customer segmentation and clustering, lookalike modeling, churn prediction, uplift modeling and experimentation frameworks, personalization and targeting algorithms, and campaign response modeling.
Provide expert guidance on the configuration, functionality, and usability of data management, analytics, and visualization technologies.
Support the development of strategy and roadmap for data quality, modeling, reporting, and advanced decision support tools.
Develop and deliver regular and ad-hoc reports, dashboards, and visualizations
Structure and assemble multi-dimensional data sets across various granularities (e.g., customer, product, transaction, media).
Qualifications
Typically 3–4 years of relevant experience with a post-secondary degree in a quantitative
Proficiency in statistical and analytical tools: Python, SQL, SAS
Experience with data visualization tools: Power BI
Experience with cloud-based data platforms (e.g., AWS, GCP, DataIku)
Strong understanding of predictive modeling, clustering, classification, regression, causal inference, and marketing-specific modeling techniques
Strong statistical modelling, analytical and problem-solving skills
Knowledge of experimentation frameworks, uplift modeling, and A/B testing
Experience with MLOps
Familiarity with media data sources (e.g., Kantar, Nielsen, Google Ads, Meta)
