2026-07-26 Data Analysis Jobs
Senior Data Scientist, Statistics and Modeling
Canadian Tire
Toronto ON
$64,000 – $106,000
End Date: August 8, 2026
What you’ll do
Develop a understanding of our Retail business, Loyalty, Store Operations, and Marketing programs.
Build comprehensive market, store and user-level test designs with explicit success criteria.
Research statistical methodology to aid in protocol development (study design and sample size calculation) and analyses planning.
Construct and improve predictive models to reduce test costs and improve result confidence
Validate, analyze and investigate test data from multiple perspectives to weave compelling fact-based narratives
Develop statistical, causal, and machine learning models to improve customer engagement and marketing program performance.
What you bring
M.S or PhD, preferably in Statistics/Math/Economics or a related quantitative discipline.
3+ years experience developing and implementing data science solutions. Experience in retail businesses, or loyalty programs preferred.
Proficiency in using industry standard programming languages, including Python, R, or SAS.
3+ years of experience querying and analyzing large datasets with tools such as SQL, Spark, etc.
Familiarity with cloud-based data structures, including tools to extract, manipulate and transform data within the cloud. Experience with Databricks and Azure Synapse is an asset.
3+ years interpreting, synthesizing, and presenting complex models and analyses to business partners.
Manager, Wealth Leads Campaigns
BMO Financial Group
Toronto ON
$69,000 – $129,000
Application Deadline: 08/02/2026
Responsibilities
Manage End to End Campaign Execution from Pre-Sizing, Data processing, Channel Execution and Campaign Monitoring.
Deliver dashboards, reporting, and insights that inform decisions and improve campaign outcomes
Manage and enhance daily/weekly/monthly channel reporting to provide results and context to deliver actionable insights to senior management, not just reporting data.
Enhance and automate reporting processes to improve efficiency and scalability
Ensure consistent execution standards and governance across the Wealth campaign portfolio.
Establish clear performance measurement frameworks for leads and campaigns, tracking impact on revenue, asset flows, lifecycle progression, and client engagement.
Skills & Experience
4–7 years of experience in analytics, marketing, client strategy, or data driven decisioning within financial services
Excellent proficiency in working with large datasets using tools such as SQL, Enterprise SAS, or similar. AWS experience also preferred.
Experience with data visualization tools such as Power BI or Tableau.
Strong understanding of Wealth Management clients, products, advisor led distribution, client lifecycle dynamics, and campaign driven growth models.
Proven ability to translate advanced analytics into practical, scalable business actions that improve client experience and share of wallet.
Experience with campaign analytics, lead management, lifecycle measurement, and performance frameworks
(3)https://wd1.myworkdaysite.com/recruiting/parexel/Parexel_External_Careers/job/United-States—Remote/Senior-RWE-RWA-Programmer_R0000042912
Senior RWE/RWA Programmer
Parexel International (MA) Corporation
Remote
Who We Are Looking For
Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting project objectives
Expert Coder : The ideal candidate spends most of their time hands-on coding versus project management or oversight responsibilities, has hands-on experience with raw RWE data including both claims data and Flatiron EHR and can write SQL code from scratch.
Advanced SQL Programming experience within the Real-World Data (RWD) domain is required.
Hands-on experience developing and managing data solutions in the Snowflake platform required.
Clean and validate Real-World Data (RWD) to ensure consistency and reliability
Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable analyses
Develop dashboards, reports, and presentations to effectively communicate findings
Who You Are
MS in data science, epidemiology, statistics, public health, or related discipline
At least 2-3 years of experience in Real-World Data (RWD) analysis and Real-World Analytics (RWA) using healthcare claims, EMR, and/or registry databases within the biopharmaceutical industry or provider/payer organizations
Hands-on experience with Flatiron data required; experience with Optum may be considered
Fluency in SQL and R programming is required
Experience writing original code and performing raw data analysis (not derived solely from clinical trials)
Knowledge of SAS and/or Python is considered an advantage
Familiarity with US and global healthcare coding systems(e.g., ICD, CPT, HCPCS, LOINC, MedDRA)
Experience with big data analytical platforms
Deep understanding of observational study analysis
(4) https://www.newprint.ca/job-postings-cost-estimating-data-collection-analytical-specialist
Data Collection/Analytical Specialist
Newprint
Ottawa ON
Daily Tasks and Responsibilities:
Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
Knowledge and Skill Requirements:
Proven working experience in data collection and analysis.
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc),
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SAS etc)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information
BS in Mathematics, Economics,
Manager, Next Best Action Campaign Execution
RBC
Toronto ON
End Date: August 17, 2026
What will you do?
Provide complete, accurate and timely Campaign Execution that meets the business objectives
Responsible for translating technical specifications into code for the timely deployment of Direct Marketing tactics through a variety of channels
Complete quality assurance audits to ensure the campaign design & build has been accurately interpreted to meet the business need
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, integrating and leveraging learnings from past and post campaign results
Ensure that all CRM concepts (including predictive models) and CIDM standard methodology and best practices are implemented in day-to-day routines by self and team
Act as Subject Matter Expert on relevant Data sources, Channels, and CIDM standards
What do you need to succeed?
3+ years specialty 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
Ability to build strong lateral relationships through influence
Strong project management and implementation skills – time management
Ability to work steadily and accurately under pressure, especially during peak periods
Strong experience in the financial services industry, including understanding marketing, is an asset
Continuous improvement mindset
Staff Epidemiologist – Public Health
Nova Scotia Health Authority
Dartmouth NS
Posting Closing Date: 21-Aug-26
About the Opportunity
Reporting to the Manager, Surveillance and Data Solutions, the Epidemiologist leads the development of high-quality surveillance systems for the Public Health system of Nova Scotia including Health Protection, Healthy Communities and Early Years areas of focus. They provide expert advice and leadership in epidemiology and surveillance and provide statistical and epidemiological analysis of public health and population health data to support health research, decision making, planning and policy development and administration. The Epidemiologist assists in the identification and evaluation of issues that threaten the health of Nova Scotians, and advances the epidemiological and surveillance decision support, information management and knowledge translation functions for the Public Health system.
We would love to hear from you if you have the following:
Master’s degree in Epidemiology and 5-7 years’ related experience in a Public Health setting
Eligible for registration with relevant health discipline/college or association, where applicable
Thorough understanding of population health and epidemiological principles
Demonstrated skills in advanced research methodologies and statistical analysis
Demonstrated experience providing epidemiological advice to senior decision makers
Advanced knowledge of statistical and analytical software (specifically R and SAS or Stata); proficiency in general word processing (Word) and the development and maintenance of spreadsheets (Excel); and familiarity with presentation software
Experience with data visualization tools/software such as Tableau, GIS (mapping) and Gephi (social network analysis) is considered an asset
Manager, Advanced Analytics
TD Bank
Toronto ON
$96,900 – $136,800
End Date: August 14, 2026
Job Description:
The risk model development department is seeking an experienced model developer to enhance TD’s retail stress testing framework by incorporating environmental and climate risk impacts into financial stress projections for residential lending portfolios.
The incumbent will design, develop, and support model components that quantify climate-related impacts or other economic risks within TD’s U.S. retail stress testing process, with a near-term focus on mortgage and home equity portfolios.
The retail model development group within risk is responsible for the creation of credit risk models on TD’s consumer lending portfolios, including mortgage, home equity, auto lending, small business and credit cards for cross-border stress testing exercises.
Required Qualifications, Education & Experience
Prior programming experience with one or more statistical applications such as SAS, Stata, or SPSS, or related programming languages such as Python or R.
Master’s degree or PhD in a quantitative discipline, or at least three years of experience in quantitative analytics or model development.
Experience with credit risk analytics, financial stress testing, or model development in a large and complex financial institution.
Experience with climate risk analytics, environmental risk modeling, or location-based physical risk tools such as Munich Re Location Risk Intelligence.
Experience building computational simulations.
Advanced SAS experience.
(8) https://td.wd3.myworkdayjobs.com/TD_Bank_Careers/job/Toronto-Ontario/Data-Scientist-II_R_1498627
Data Scientist II
TD Bank
Toronto ON
$81,600 – $115,200
Key Responsibilities
Leverage analytics, statistical modeling, machine learning, and data mining techniques to uncover insights, support data-driven decision-making, and optimize business outcomes.
Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and insights from large datasets.
Visualize insights from data to illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
Collaborate with other partners, such as AIML scientists, data and business analysts, and product owners to develop scalable solutions that retain long term benefit to the business.
Provide thought leadership and/or industry knowledge for own area of expertise and participate in knowledge transfer within the team and business unit.
Requirements:
Undergraduate or graduate’s degree preferred with progressive work experience
3+ years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity.
Demonstrated knowledge and application of analytical languages/tools/platforms such as Python / Pyspark, SQL, Tableau, PowerBI, Databricks, on large datasets with a track record of delivering business impact and results. SAS skills is considered an asset.
Strong problem-solving skills, with the ability to navigate ambiguous issues and deliver well-defined solutions.
(9) https://careers.cmhc-schl.gc.ca/job/Ottawa-Analyst%2C-Business-Systems/604667617/
Analyst, Business Systems
CMHC
Ottawa ON
$62,393.30 – $77,991.60
What you’ll do:
The role involves the delivery of data services and products to both internal and external clients through effective systems analysis and design, modeling, programming and data manipulation. The ideal candidate will have solid programming and analytical skills and can also understand client needs and translate this into useful data. This is a challenging and exciting role for someone who is passionate about data and wants to make a difference in the housing sector. Assist with Data Division technology and data transformation projects: this involves migrating large data sets from legacy systems (Mainframe, SAS datasets) to Azure Databricks platform as well as modernizing and automating data ingestion, processing, quality assurance and dissemination.
What you should have:
An undergraduate degree or A master’s degree
A minimum 3 years of relevant programming and quantitative analysis experience.
Advanced skills in Excel.
Intermediate to advanced programming skills in Python, including Pandas and NumPy.
Intermediate to advanced skills in SQL: ability to write complex queries, including JOINs and subqueries.
The ability to work with Apache Spark and/or PySpark.
Intermediate to advanced skills in SAS
(10) https://jobs.bell.ca/ca/en/job/BECACA429821EXTERNALENCA
Business Analyst
Bell Canada
Mississauga ON
Application Deadline: 08/03/2026
Key Responsibilities
Execute and enhance financial, payment and process controls
Identify opportunities for process automation and system/reporting enhancements
Manage compensation projects and communications to internal/external channel partners
Analyze contract and payment execution requirements to ensure successful system deployment
Undertake audits to ensure payment accuracy and compliance with contracted terms
Perform analysis and investigations to support reporting and decision making
Maintain strong working relationships with internal/external channel partners and stakeholders
Critical Qualifications
Strong working knowledge of SQL, SAS, Oracle, Teradata or others
Proficiency in MS Excel, PowerPoint, Word
University degree in Information Technology, Mathematics, Business; Finance or relevant fields
Strong business and financial acumen, ability to analyze data and provide key recommendations
Excellent organizational, communication and problem solving skills; strong attention to detail
Project management and process improvement experience
Ability to multi-task and meet aggressive deadlines without compromising quality
Motivated, self-starter capable of driving projects to completion
Working knowledge of Bell internal systems, processes, products and services an asset
