2026-07-18 Data Analysis Job Description
(1)https://jobs.sobeyscareers.com/?jobid=df-8564-en
Specialist Process Improvement
Sobeys Inc.
Mississauga ON
Job Description
- Apply project management technique disciplines to the planning and delivery of high quality work on time.
- Establish metrics to measure success and track sustainability results.
- Use data and other research tools to identify trends, find root causes, solidify scope and frame roadmaps.
- Perform post mortem process audit on closed projects.
- Support objectives of all Shared Services and CI work.
- Support the business teams with developing automated workflows minimizing user touch points.
- Transform business use cases to technical solutions using leading technical tools.
Job Requirements
- Post Secondary Education in Relevant Field (Engineering, Technology, Business, Economics).
- Minimum 2-3 years of experience in solutions and databases with emphasis on VBA, SQL, HTML, RPA.
- Minimum 2-3 years of experience working with SAP Financial Systems.
- Minimum 2-3 years of experience working with Tableau, Cognos, SAS, Reporting/Dashboard Tools
- Advanced development knowledge with macros, workflow creation, and process automation.
- Experience working on diverse processes – Finance, Retail, Supply Chain and Transactional processes in a service environment.
Senior Analyst, Global FC Report Validation
RBC
Toronto ON
What will you do?
Validate Financial Crimes oversight reports across Transaction Monitoring, Client Risk Rating, Sanction Screening, and Regulatory Reporting frameworks
Execute outcome testing to evaluate accuracy of implemented reports, controls, and processes
Execute data mining activities and reconcile report results using various FC monitoring tools and platforms including Python, SAS, SQL, and Tableau
Proactively challenge financial crime reporting and data extraction methodologies to identify inherent risks, limitations, and assumptions
Collaborate with report developers, compliance officers, IT teams, and business units to understand reporting requirements and inform validation decisions
Prepare detailed validation reports and visualizations to articulate validation scope, approach, and findings to RBC Management, External Regulators, and Internal Audit
What do you need to succeed?
2-3 years of experience in development and execution of reports using automated tools
Strong proficiency in Python, SAS, SQL and Tableau for data mining and analysis
Strong analytical capabilities and attention to detail with ability to identify data controls, metrics, and compliance gaps
Bachelor’s degree in Finance, Data Science or related field
In-depth knowledge of Financial Crimes regulations (BSA/AML, OFAC, sanctions, etc.)
Familiarity with Transaction Monitoring systems, Client Risk Rating methodologies, or Sanction Screening platforms
Familiarity with Git
Statistical Analyst, Clinical Programs
PHSA
Vancouver BC
$76,111 – $109,409
Date posted: 07/15/2026
What you’ll do
Provide statistical analysis support for standard regular reports as well as a variety of documents such as briefing notes, presentations, summaries, and papers.
Support internal and external transplant data requests for planning and policy-making including: review of data requested, data extraction, data quality checking and cleaning, data manipulation and merging, and information summaries.
Link to database and develops complex database and analysis programs
Provide information and support to health policy and quality assurance decision makers, including health care and program and regional service cost estimates; communicates statistical results to BCT personnel and external partners.
Participate in the analysis of linked health data to evaluate health outcomes of transplant patients and the effectiveness of cardiovascular treatments and interventions.
What you bring
Masters in Statistics or Biostatistics, and one (1) year of recent related experience.
Advanced knowledge of epidemiological principles, research methodologies, health indicator development and management and bio statistical techniques are required.
A strong background in Oracle database analysis and Structured Query Language, including PL-SQL and Trans-SQL. Fluent in software SAS, SPSS and Oracle Report Builder.
Demonstrates foundational knowledge of the social, economic, and political realities of settler-colonialism and its impacts on Indigenous peoples and equity-deserving groups within social and health contexts. Understands the impact of social determinants of health-on-health outcomes. Shows a commitment to learning about and upholding legislative obligations and provincial commitments outlined in foundational documents
(4) https://www.amazon.jobs/en/jobs/10448197/icqa-data-analyst
ICQA Data Analyst
Amazon Canada
Calgary AB
$23 – $35/hr
Key job responsibilities
– Development of data collection processes and data management systems
– Maintenance of data integrity (0% error rate)
– Designing of queries, compiling of data, and generation of reports in MS Excel
– Charting and graphing of data for reporting purposes
– Data collection and entry as needed
– Data mining and problem solving
– Back up for Process Assistant duties
Qualifications
– 2+ years of professional or military experience
– 2+ years of business analyst, data analyst or an equivalent role experience
– 1+ years of using SQL to extract and manipulate data experience
– Bachelor’s degree, or High school or equivalent diploma
– 2+ years of professional work experience, or experience in MS Office, with an emphasis on Excel
– Experience writing complex Excel VBA macros
– Experience in advanced SQL, Python, Tableau
– Experience demonstrating problem solving and root cause analysis
– 3+ years of business analyst, data analyst or similar role experience
– Experience programming with at least one software programming language, or experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
– Knowledge of data warehousing and data modeling
– Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
– Bachelor’s degree
(5) https://bccfe.ca/careers/statistician/
Statistician
BC Centre for Excellence in HIV / AIDS
Vancouver BC
$63,484 – $79,355
What You Bring
Master’s degree in Statistics, Biometrics, Biostatistics and five (5) years of related experience, including data analysis, and writing statistical analysis, plans and reports.
Advanced knowledge of descriptive statistics, statistical inference and modelling.
Knowledge of database management principles.
Ability to develop complex and customized queries and reports
Demonstrated knowledge of statistical software packages including SAS and R.
Advanced knowledge of Microsoft Office Suite.
Your Day to Day:
Provides support for the development and maintenance of data collection and recording systems such as databases. Performs data retrieval for studies by writing computer programs and macros
Provides analytical support for research by using quantitative data analysis using descriptive and statistical methodologies.
Identifies and provide advice about data limitations and ensure adequate data quality for analytic purposes; serves as a resource on experimental design, statistical methodology and theory and recommends statistical methods for data analysis.
Collaborates on writing grant proposals, providing a priori power and sample size calculations.
Perform other related duties as required.
Senior Analyst, Customer Insights Analytics
Canadian Tire
Oakville ON
$64,000 – $106,000
End Date: August 1, 2026
Description
Analyze customer and financial data to uncover trends and opportunities.
Deliver performance analytics and insights for strategic initiatives, including loyalty programs.
Create compelling reports and visualizations that influence decision-making across the organization.
Apply statistical techniques (e.g., hypothesis testing, clustering, segmentation) to enhance insights.
Partner with data teams to improve data infrastructure and reporting capabilities.
Support cross-functional teams with analytics expertise and storytelling.
What You Bring
Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics).
3+ years of experience in data analytics.
Retail or banking industry experience is an asset.
Strong data skills: SQL, Python, SAS (certification is a plus).
Expertise data visualization and experience with BI tools.
Experience with big data technologies (Hadoop) and familiarity with cloud platforms (Azure preferred)
Knowledge of statistical modeling and customer analytics techniques.
Manager, Risk Data Analytics
BMO Financial Group
Toronto ON
$82,800 – $154,800
Description
Translate business requirements into technical analytics solutions and scalable data processes.
Deliver insights and recommendations to support risk monitoring, portfolio analysis, and business strategy.
Ensure adherence to enterprise data governance frameworks and support regulatory requirements (e.g., model monitoring, reporting accuracy).
Provide consulting support on analytics, reporting, and data quality challenges.
Identify opportunities to enhance analytics capabilities, automation, and efficiency.
Evaluate and adopt new tools, technologies, and methodologies to improve analytics and data processing.
Drive the transition from ad hoc analysis to scalable, production-ready analytics solutions.
Qualifications
Typically 5–7+ years of experience in data analytics, data science, or risk analytics.
Experience in financial services, risk analytics, or regulatory reporting is highly preferred.
Post-secondary degree in a quantitative discipline
Data visualization (e.g., Power BI)
Programming (e.g., Python, SQL)
SAS only nice to have for legacy purposes not mandatory
Data wrangling, preprocessing, and ETL processes
Big data technologies and scalable data platforms
AI driven skills and predictive analytics (nice to have)
Data quality methodology and governance frameworks
Experience with risk data and model monitoring platforms
Data Scientist, Statistics and Modelling – 2 Year Contract
Canadian Tire
Toronto ON
$32.82 – $54.34/hr
End Date: August 8, 2026
What you’ll do
Develop a deep 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.
Act as an active contributor to the analytics strategy within the Advanced Analytics team.
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.
Demonstrated understanding of statistical techniques to programmatically select (and justify) the right approach given specific business problems and data/technology constraints.
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.
(9) https://apply.workable.com/cwcpcn/j/42D37672B5
Research Evaluation Consultant
CWC PCN
Calgary AB
$86,935 – $96,594
Responsibilities
Create evaluation frameworks and evaluation plans
Develop and implement evaluation strategies to assess the impact of all PMH team activities.
Work with clinical teams to implement self-management evaluation projects.
Create and implement surveys.
Build effective data collection strategies to measure program outcomes.
Ensure all evaluation projects meet a specific standard for projects (e.g. use of frameworks, methodologies used appropriately, etc.)
Collaborate with team members to support the measurement and reporting of evaluation outcomes of the PMH and departmental evaluation projects.
Experience:
A master’s degree
A minimum of three – five years’ experience with the following is required :
Research and/or evaluation experience working with applied healthcare evaluations
Experience with healthcare data and large databases
Experience with, and knowledge of, clinical measurement frameworks (e.g. CIHI, HEDIS, and PQRS)
A minimum of one year of experience with visualization software (e.g., Tableau, Qlikview, Power BI) for reporting
A minimum of two years’ experience with supervising and coaching employees
Certification: Completion (or in the process of completing) the ARECCI level one reviewer certificate is required (may be completed during first year of employment — as available through Health Innovates).
Microsoft Office (Word, Excel, Outlook, PowerPoint, Teams); collaboration software (Monday.com); visualization software (Tableau); statistical software (SPSS, Stata, SAS), survey software; and qualitative analysis software.
(10) https://www.amazon.jobs/en/jobs/3186477/data-scientist-ade-analytics
Data Scientist, ADE Analytics
Amazon Canada
Vancouver BC
$109,100 – $182,200
Key job responsibilities
– Analyze complex data to identify patterns, inform product decisions, and understand root causes of anomalies.
– Develop analysis and modeling approaches to drive product and engineering actions to identify patterns, insights, and understand root causes of anomalies. Your solutions directly improve the customer experience.
– Independently work with product partners to identify problems and opportunities. Apply a range of data science techniques and tools to solve these problems.
– Build data pipelines, and identify novel data sources to leverage in analytical work – both from within Alexa and from cross Amazon
– Acquire data by building the necessary SQL / ETL queries
Qualifications
– 2+ years of data scientist experience
– 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
– 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
– Master’s degree in Science,
– Knowledge of machine learning concepts and their application to reasoning and problem-solving
– Experience in Python, Perl, or another scripting language
– Experience in a ML or data scientist role with a large technology company
– Experience applying quantitative analysis to solve business problems and making data-driven business decisions
– Experience effectively communicating complex concepts through written and verbal communication
