2026-06-06 Data Analyst Jobs
Consultant, Accès au marché, économie de la santé et services de conseil/ Consultant, Market Access, Health Economics Advisory Services
IQVIA Canada
Mississauga ON
Functional Responsibilities:
Support the delivery of a wide range of client projects in the pharmaceutical and medical device space Contribute to study design and methodology development
Develop innovative approaches, frameworks and solutions to client problems Assist in the preparation of study protocols
Analyze and interpret qualitative and quantitative ‘real-world’ data for deliverables
Experience:
Associate Consultant: <2 years experience ; Consultant: >2 years’ experience undertaking database or health outcomes research, or in the pharmaceutical industry
Experience will generally have been gained in one of the following environments: Healthcare Consultancy, Pharmaceutical or other Healthcare Industry,
Conducting analyses in databases and/or registries Longitudinal patient level data analysis
Competency in using Word, PowerPoint and Excel High level of literacy – able to write reports and manuscripts in clear, accurate and concise language
Understanding and interest in the Canadian and international health care environment
Experience in programming Visual Basic for Applications within Excel is a plus
Experience with statistical software (SAS, SPSS, R) is a plus
Senior Decision Scientist
Canadian Tire
Oakville ON
End Date: June 16, 2026
What you’ll do:
Lead machine learning projects that drive origination, credit limit and collection strategies
Own the full cycle scorecard design and development from initial planning and data sourcing to data modeling and validation
Deploy new models, implement updates, track data transfers, oversee scoring activities, and manage reports, addressing system or procedural issues as they arise
Regularly review and document the predictive effectiveness of various statistical models
Create customer segmentation schemes that provide strategy teams with key customer insights
Collaborate closely with internal customers, retail-side partners and subject matter experts to understand data, interpret results, translate business needs and synthesize solutions
What you bring:
University degree and Postgraduate degree is preferred
Three plus years of professional experience focused on developing predictive scorecards and building ML models from real-world data. Work in credit risk management or the credit card industry is an asset
Solid understanding of machine learning steps and modeling metrics is a must
Proficient in SQL, Python and, ideally, SAS programming language
Experience with machine learning libraries like Pandas, XGBoost, scikit-learn, LightGBM
Hands-on exposure to modeling platforms like Enterprise Miner, Analytics Workbench or SPSS Modeler is a plus
Comfortable with cloud-based data structures and tools like Azure, AWS and Databricks is a plus
Background in manipulating large relational databases with detailed and granular information
Data Analyst Health Surveillance, Epidemiology & Intelligence Services – BC Centre for Disease Control
PHSA
Vancouver BC
$44.35 – $45.97/hr
Date posted: 06/05/2026
What you’ll do
Perform data management and preparation activities, including data extraction, transformation, and documentation.
Develops and maintains data collection and recording systems such as databases, spreadsheets, and web-sites, including designing ad hoc reports.
Write computer code and data queries to capture and edit data
Create analytic reporting tools to allow internal and external users to analyze data.
Automate routine data management tasks using standard programming tools.
Perform descriptive analyses and produces summaries and analytical reports using statistical software and coding, identifying all data limitations that apply
Monitor data quality in the information systems like the Public Health Information System and disease databases, proactively identifies and communicates anomalies
Correct data errors in a timely manner. Document processes for these procedures. Prepare and maintains documentation and reports such as user guides, procedure manuals, metadata, code documentation, data security policies and data dictionaries.
What you bring
Bachelor’s Degree in Health Information Science or Computer Science or equivalent and three (3) years’ experience as a data analyst/scientist, preferably in community health and/or the health information field, or an equivalent combination of education and experience.
Ability to write data management and analysis programs using data programming tools such as SAS or R. Experience managing and querying data in large relational or multidimensional databases and data warehouses an asset. Ability to create data visualizations.
Consultant, Marketing Analytics Insights
CAA Club Group of Companies
Thornhill ON
$59,500 – $91,500
What You Will Do
Assist in campaign/project scoping in marketing quarterly in-take process by clarifying and aligning with business clients on campaign/project objective, target and exclusion criteria, file format, etc.
Provide customer profiling with demographic, geographic and psychographic insights through 1st and 3rd party data
Automate routine list pulls and routine Power BI reports to improve efficiency
Provide analytics consulting services to support marketing strategy & planning of ‘Target the right customer using the right product through the right channel at the right time’
Provide expertise in campaign experimental design (test vs. control), statistical significance, etc.
Identify data gaps, new data opportunities and process enhancement opportunities to meet ever-growing business needs
Document new analytical methodologies and best practices in the Marketing Analytics Handbook and share knowledge with the rest of the team
Who You Are
Bachelor’s degree in Mathematics, Statistics, Engineering, Commerce, or Analytics areas
Minimum 5 years of database marketing by using SAS/SQL
Minimum 5 years of marketing analytics for campaign list pull, reporting or customer profiling
Experience with Power BI required
Experience designing audience targeting and exclusions, building test/control groups, measuring lift and translating results into business decisions using SQL and/or SAS
Experience in analytics consultation with 3rd party data such as Environics Prizm is an asset
SAS Certified Advanced Programmer (SAS 9) certification is an asset
(5) https://jobs.scotiabank.com/job/Toronto-Data-Analytics-Investigator-ON-M5H1H1/602096417/
Data Analytics Investigator Job Details | Scotiabank
Scotiabank
Toronto ON
Is this role right for you? In this role, you will:
Assist with the design and implementation of the overall enterprise insider threat program
Contributes to the design of complex predictive models and pattern detection algorithms in Splunk to detect suspicious digital fraud alerts and user behavioral activities.
Decode and debug complex Search queries, build Splunk Use Cases for financial crime, employee monitoring, threat intelligence, Online banking, PCI & PII use cases.
Analyze, review, and provide insight into the Bank’s enterprise insider threat program, major digital fraud and financial crimes investigations, other intelligence big data analytics industry initiatives to proactively support business decisions and processes.
Keep abreast of emerging insider threat techniques, digital fraud trends, investigative techniques, evolving regulatory requirements and assess potential impact to the bank.
We’d love to work with you if you have:
Post-secondary degree and/or 2+ year similar hands-on work experience preferred.
Solid working experience in an analytical role, using expert Splunk SPL query language to create dashboards, algorithms, rules, and/or alerts, preferably in the context of user behavioral analytics and digital fraud analysis.
Demonstrated ability working with analytical and computing tools, such as like Splunk, Microsoft Power BI, SAS, Java, R, Python, Hadoop, HIVE, Spark, etc.
Training and/or certifications in Splunk Enterprise Version 7.x and 8.x and Data Analytics would be an asset.
(6) https://careers.roche.com/global/en/job/ROCHGLOBAL202604109980EXTERNALENGLOBAL
Senior Statistician
Roche Canada
Mississauga ON
The Opportunity:
Independently drive statistical contributions to clinical trial design, ensuring strict alignment with scientific objectives and study endpoints.
Deliver and quality-review critical statistical study documents, including comprehensive statistical analysis plans and protocols.
Design and perform sophisticated data analyses, proactively identifying potential challenges and implementing robust statistical solutions.
Serve as the functional expert for Biostatistics and PDD at the Study Team level, ensuring scientific and statistical rigor across all deliverables.
Who you are:
An MSc or PhD in Statistics, Biostatistics, or a closely related quantitative field.
A minimum of 5 years of relevant experience in clinical trial statistics within a pharmaceutical, biotech, or CRO setting, ideally spanning multiple phases of drug development (early and late stage).
A solid understanding of regulatory expectations, statistical methodologies for clinical development, and familiarity with CDISC standards.
Hands-on experience and proficiency in SAS and/or R programming languages.
Excellent verbal and written communication skills, with a proven ability to present complex technical concepts clearly and influence senior stakeholders.
Analyst, Fraud
PC Financial
Toronto ON
What You’ll Do:
Analyze the portfolio and respective credit risk strategies to optimize risk and reward.
In conjunction with the Senior Manager, update and validate changes to the fraud systems.
Develop, maintain , and produce a scheduled inventory of financial, operational, and compliance control reporting
Collaborate and communicate effectively with cross functional teams to achieve objectives
What You Bring:
Attention to detail and personal accountability to ensure accuracy of produced results.
Ability to successfully communicate complex problems verbally and written.
Ability to prioritize and independently execute assigned work.
Post-Secondary Degree or equivalent experience in a quantitative field preferred (Economics, Business Administration, Statistics, Mathematics, Computer Science, Operations Research)
Demonstrated experience working with a programming language is preferred (SAS, SQL, Oracle).
Experience with systems and change management is an asset ( SecureCode , TSYS).
Minimum 1 year of experience in Fraud Detection / data analysis / financial modeling / data mining role.
(8) https://phe.tbe.taleo.net/phe02/ats/careers/v2/viewRequisition?org=CATSA&cws=46&rid=2480
Senior Analyst, Advanced Analytics
Canadian Air Transport Security Authority / CATSA
Ottawa ON
$74,838 – $93,546
Posting Date: 05/06/2026
Description
The Senior Analyst, Advanced Analytics is responsible for developing and implementing
quantitative models and tools, including artificial intelligence models, to support
decision-making and operational planning. The incumbent is also responsible for
conducting advanced data analysis. The Senior Analyst performs all other duties and responsibilities related to the position as required
What you need to succeed To qualify for the position, you must have: –
Graduation from a recognized university
A minimum of four years of experience in data mining, data analysis and synthesis.
Knowledge and experience developing artificial intelligence and machine learning models.
Previous experience in programming and developing mathematical models using software such as SAS, R, SPSS, MATLAB, Python.
Experience working with large datasets.
Strong analytical skills and experience with some of the following analytical methodologies: statistical analysis, machine learning, forecasting, discrete event simulation, mathematical programming, stochastic modeling, visual analytics, etc.
Knowledge and experience with computer vision models
Knowledge of CATSA’s mandate and priorities, as well as an awareness of relevant legislation impacting CATSA. –
Master’s degree
Experience conducting investigations into data discrepancies.
Knowledge of SQL and relational databases.
Experience using Business Intelligence tools such as Power BI.
Program Coordinator
SickKids
Toronto ON
$65,452 – $89,997
Date Posted: 2026-06-04
Here’s What You’ll Get to Do
Work closely with PCMCH Director and Program Managers to implement strategic priorities
Select and apply appropriate research and analytical approaches to interpret and synthesize data from multiple sources to inform planning, decision-making, and continuous improvement
Collaborate with staff and stakeholders to analyze and translate data and research findings into clear, actionable insights
Incorporate diverse approaches in quality improvement and performance management in carrying out duties related to assigned projects
Assist in the development of project deliverables (e.g., reports, presentations, briefing notes), including integrating data analysis and evidence to support clear, evidence-informed recommendations
Maintain and update project repository and filing system with documents and deliverables
Prepare and present written and verbal reports (e.g., briefing notes) for internal and external stakeholders
Here’s What You’ll Need
Degree in health care administration,
Minimum 3 years of experience in health care administration, health planning, or related functions
1-2 years of direct experience in project coordination and analysis
Previous experience contributing to qualitative/quantitative research initiatives and providing analysis in support of planning and/or evaluation initiatives, preferably in the healthcare sector
Proficiency in Microsoft applications (Outlook, Word, Excel, PowerPoint, Power BI); experience with survey development, statistical, data management, and reporting tools and software (e.g., REDCap, SPSS, SAS, Stata, R) is an asset
Experience using datasets from Statistics Canada, ICES, Better Outcomes Registry & Network (BORN) Ontario, the Canadian Institute for Health Information (CIHI), and/or IntelliHealth Ontario is an asset
Good understanding of Ontario healthcare system
Advanced interpersonal and relationship management skills
Business Data Analyst – Business Operations
Toyota Credit Canada Inc – Head Office
Full time
End Date: June 18, 2026
What You’ll Be Doing:
Manage the full spectrum of marketing analytics, including campaign tracking, performance dashboards, and funnel analysis.
Lead efforts to maintain a comprehensive and accurate view of marketing performance across demand generation segments and channels, focusing on identifying actionable or predictive insights to optimize campaigns and achieve growth targets.
Design and analyze A/B tests to support data-driven experimentation and optimization.
Leverage data to uncover trends in customer behavior, dealer performance, product penetration, and regional sales trends.
Translate these insights into recommendations for targeted marketing strategies, improved customer retention, and dealer network development.
Design, build, and maintain advanced Tableau dashboards and reports for the Sales & Marketing department, using data from the Enterprise Data Platform (Snowflake) as the single source of truth. Example outputs include campaign ROI dashboards, sales and market share analyses, sales performance reports, and dealer scorecards to support daily decision-making by Sales & Marketing leaders.
Respond promptly to ad-hoc requests for data or analysis (e.g., identifying which customer segments responded best to a recent promotion, or providing a quick sales forecast for a new product launch).
Ensure that all analyses and metrics for Sales & Marketing are consistent with enterprise-wide standards.
Coordinate with Finance (for alignment on incentive budgets and profitability targets) and with other departments (e.g. Risk or Business Operations) when Sales & Marketing data intersects with broader company initiatives.
Train team members to interpret metrics and leverage self-service analytics (e.g., basic Tableau functions or SQL queries) for their daily management needs.
What You’ll Bring:
Bachelor’s degree in Marketing, Business, Data Analytics,
3-5 years of experience in business analytics, BI, or data analysis roles, supporting Sales, Marketing, Pricing, or customer analytics functions.
Experience in the financial services or captive finance industry (especially automotive finance) is preferred.
Proven track record of exceptional problem-solving skills and the ability to synthesize complex data into actionable insights that inform business decisions, including analysis of marketing campaigns, sales performance, pricing effectiveness, and customer trends.
Strong SQL proficiency and experience working in modern data warehouse environments (e.g., Snowflake or similar).
Advanced Excel skills for analysis and ad‑hoc reporting.
Hands‑on experience building reports and interactive dashboards using Tableau (preferred), with solid understanding of data visualization best practices and data storytelling.
Strong understanding of sales and marketing concepts and KPIs (e.g., sales, market share, retention, incentives, ROI), with the ability to link insights to revenue growth and market share.
