Cloud for Data Analysts and Data Scientists
2025年9月29日
2025-09-29 Data analysis Job Positions
2025-09-29 Data analysis Job Positions
Data Support Analyst – Inspire Global Assessments
B.C. College of Nurses and Midwives —Vancouver, BC4.5
Collaborates with Psychometricians and content developers in the scoring, development of blueprints, case development, modification, and field-testing analytics…
$70,000–$80,000 a year
Key responsibilities:
Supports psychometricians in the development and analysis of performance assessment instruments, and standard setting and validation activities by analyzing data
Generate performance reports, perform quality checks, and support psychometricians in providing results to key stakeholders (written or verbally).
Develop, manage, and monitor item exposure rates and statistical anomalies.
Provide data analytics and data management consultation in support of assessment operations, item analysis, automatized scoring, forms construction, reliability, validity analyses, etc.
Perform regular data management and processing tasks, including extracting, cleaning, organizing, and transforming data.
Prepares and presents data dashboards for data visualization and to support informed decision making.
What you’ll bring:
A bachelor’s degree in data science, analytics,. Master’s degree in data science is preferred.
A minimum of three years’ experience in applied statistical analysis or computer science environment, designing and conducting statistical analysis in a technological environment.
Advanced knowledge of statistics and data modelling (e.g., sampling theory and methods, mixed effects models, exploratory data analysis, computational approaches to parameter estimation, multilevel modeling, Bayesian methods, and experimental and quasi-experimental methods for causal inference).
Expertise with a variety of statistical models used in testing to manage and transform data, design and conduct research, simulations, and generate performance and technical reports
Demonstrated ability to write and modify code and programs using advanced statistical analysis software (e.g., R, Python and FlexMIRT preferred; SAS, SPSS, Mplus, Winsteps, BILOG and/or PARSCALE), dashboard creation (PowerBI), and to retrieve data from databases (SQL).
Manager, Client Journey Insights
Tangerine —Toronto, ON3.5
This role will contribute to Tangerine’s Client strategy development by building analytic framework and conducting business/statistical analyses to identify…
Is this role right for you? In this role, you will:
Analyze data from multiple sources (i.e. Client, Product, Transactions, Digital, CRM, Sentiment, Third-party) to uncover comprehensive insight to understand and articulate client behaviours and optimize Product & Campaign performance
Lead analytic projects to identify opportunities for our key focus areas:
X-sell & Up-sell; Product Engagement & Feature Utilization; Client Retention
Client Profitability;Campaign & Contact Optimization
Develop and maintain various dashboards for different stakeholders
Prepare monthly and quarterly performance reports/packages for executive audience
Conduct ad-hoc analyses to explain business anomalies, trends and support broader corporate initiatives
We’d love to work with you if you have:
Minimum 3 years of hands-on analytics experience within Telco, Banking, Retail or Technology industry
Sound knowledge of banking and retail credit products
Experience in managing complex analytics projects end-to-end (i.e. requirements gathering, data extraction, analysis, visualization and presentation)
Strong data mining skills with experience in manipulating large and complex data sets using with SQL, Big Query, SAS
Strong data visualization skills using tools such as Looker Studio and Tableau
Expert user of PowerPoint and Excel
Ability to explain complex analytic concepts and findings to non-technical audience
Senior CRM Developer
We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit…
How you’ll succeed
Campaign Design & Execution – In this aspect of the role you will utilize campaign design methods and tools such as Salesforce marketing cloud, IBM’s Campaign Management application (previously UNICA). Knowledge and experience working with relational databases, Business Intelligence (BI) User Interfaces and programming languages (like SAS & SQL) is a significant asset.
Analysis & Problem Solving – Experience in leveraging statistical and predictive models and other targeting & segmentation methodologies is also an asset. In addition, an eagerness to continually look for process improvement efficiencies and recommend potential solutions is a beneficial and complementary skill.
Who you are
You can demonstrate 3+ years experience in Database Marketing and Campaign Development. It’s an asset if you have prior experience leveraging a tool such as IBM Campaign Management (UNICA),
You understand that success is in the details. You notice things that others don’t. Your critical thinking skills help inform your decision making.
You’re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
You give meaning to data. You enjoy investigating complex problems and making sense of information. You’re confident in your ability to communicate detailed information in an impactful way.
Manager, Pre-Approved Originations, Unsecured Lending
Scotiabank —Toronto, ON3.9
Bachelor’s or higher degree in business, statistics, economics, mathematics, computer science, data science, or analytics.
Is this role right for you? In this role, you will:
Innovate Credit Risk Strategies: Develop and continuously enhance sophisticated credit risk approaches using predictive models, machine learning, and champion/challenger testing. Identify and implement new automation opportunities
Lead Advanced Analytics: Dive deep into portfolio performance and customer behaviour trends. Translate complex insights into intuitive dashboards and reports using SAS, SQL, Power BI, and other visualization tools.
Drive Automation & Process Improvement: Streamline decisioning criteria for approvals, declines, limit assignments, and more
Collaborate & Influence: Work closely with Product, Operations, Regulatory, Fraud, and Audit teams. Effectively communicate risk measures, represent the risk perspective across business lines,
Support Strategic Initiatives: Ensure all lending strategies align with the Bank’s Risk Appetite Framework and support core business priorities—from new product launches to process improvements and acquisitions.
We’d love to work with you if you have:
Bachelor’s degree or higher, or equivalent work experience.
Minimum 2-5 years’ experience in risk/portfolio management, preferably within a retail lending or credit risk management environment.
Proficiency in analytical programming and database tools (SAS, SQL, Python, or equivalent). Experience applying advanced statistical methodologies and machine learning techniques is considered a strong asset.
Demonstrated ability to translate complex data into clear dashboards and actionable business insights, using visualization tools like Tableau, Power BI, or Excel (Pivot Tables).
Strong understanding of credit principles and experience designing strategies that impact organizational P&L.
Prior experience with Canadian regulatory standards and risk appetite frameworks.
Data Scientist
Scarborough Health Network —Scarborough, ON3.9
Present and communicate the data analysis results and recommendations to various audiences such as senior leadership team, program directors and clinical…
Responsibilities
Collect, clean, and analyze health care data from various sources such as enterprise data warehouse, electronic health record (EPIC), surveys and other health care data.
Develop predictive models and statistical analyses to identify trends, forecast outcomes, and support clinical and operational decision-making.
Evaluate and validate the performance and impact of the data-driven solutions using appropriate metrics and methods.
Create and maintain workflow to automate and streamline the data processing and modeling tasks.
Required skills and qualifications
Bachelor’s degree or higher in Data Science,
2+ years of experience in data science, analytics or machine learning, preferably in a healthcare setting.
Proficiency with data mining, mathematics, and statistical analysis such as knowledge of statistical tests, distributions, regression, maximum likelihood estimations
Proficiency in programming languages including Python, R, SQL, SAS and its data science libraries, such as pandas, scikit-learn
Advanced experience in pattern recognition and predictive modelling
Previous healthcare experience including knowledge of CIHI datasets such as DAD, NACRS, CCRS, NRS, OMHRS, HCRS).
Experience with data extract/structure in EPIC.
Hands-on experience with any business intelligence (BI) reporting tool and cloud platform, especially Microsoft Power BI, Microsoft Fabric and Microsoft Azure.
Learning Analyst
Thompson Rivers University —Kamloops, BC4.3
This includes identifying the needs of multiple administrative groups, OLFMs, on campus faculty and students, proposing data analysis and other needs-based…
MAJOR DUTIES & RESPONSIBILITIES
Identifies, integrates and validates appropriate data and other information sources to respond to requests.
Develops and manages detailed project plans and documentation that define overall project schedules.
Manipulates databases and other data sources including queries required to meet institutional research and reporting needs.
Researches, recommends and implements business intelligence tools and processes including data mining, modeling and visualization techniques to identify trends, patterns and connections within the data.
Reviews existing research related to learning analytics, data-supported learning design, student persistence and uses that information to recommend next steps for implementation for the institution.
QUALIFICATIONS
Bachelor’s degree in an appropriate analytical discipline plus post-graduation education leading to a certificate or certification in a field related to data visualization, business analysis, decision support or predictive analytics
Two years’ experience gathering ,evaluating and interpreting data to produce actionable information
One year experience using data visualization tools (e.g.: Tableau) to build dashboards and user friendly reports
Demonstrated advanced knowledge of Microsoft Word, Excel and Power Point in a Windows environment including, but not limited to, experience making mathematical and statistical calculations, pivot tables, graphs, etc.
Advanced knowledge of data visualization and applicable software such as SAS, SPSS and Tableau
Knowledge of SQL scripting language
Data Scientist Student, Credit Risk Analytics (Winter 2026)
CT Bank —Oakville, ON3.5
This Division is responsible for the design and execution of credit risk strategic decisions, the development and execution of machine-learning models that help…
What you’ll do:
Help develop predictive models that will form the basis of information-driven strategies executed within Credit Risk which includes credit limit assignment, marketing promotions, collections and new account adjudication.
Help design and implement robust model deployment techniques, as well as performance metric tracking.
Participate in development of new predictive models to support the business, including preliminary analyses of available data and advising on feasibility/impact.
Develop and maintain expertise with lending, credit scoring, behaviour scoring, portfolio management, direct marketing, data mining, and industry trends.
What you’ve done:
Currently enrolled in a post-secondary program in Mathematics,
Knowledge of statistics and statistical models
Self-driven development of technical skills through projects or hackathons
Programming experience in Python/SAS/R
Working knowledge of Python’s data-manipulation libraries (ex. pandas, numpy)
Proven experience using MS Office Suite (Excel/Word/PowerPoint)
Excellent attention to detail
Manager, Analytics
Royal Bank of Canada —Toronto, ON3.9
Excellent research and analytical capabilities, data visualization skills to produce complex data analysis. Develop reports to detect and trace data anomalies…
What will you do?
Perform comprehensive data analysis and communicate meaningful insights in the form of data sets, reports and dashboards.
Maintain or enhance existing reports to showcase insights and support tactics.
Analyze large data sets in conjunction with data dictionaries to understand business context and how it can be applied to satisfy provided analytics and reporting requirements.
Consult with business partners to understand business goals and the intended client journey.
Develop reports to detect and trace data anomalies and perform impact analysis.
What do you need to succeed?
Bachelors in Mathematics / Statistics, Engineering, or Computer Science. Masters considered an asset.
Proficiencies in the following Python, Scala, Spark, Hadoop, UNIX/Linux, SQL and SAS similar tools to extract, manipulate and analyze large complex data.
Advanced Tableau, Excel, PowerPoint skills.
Excellent research and analytical capabilities, data visualization skills to produce complex data analysis.
3+ years of experience in the big data ecosystem, cloud technologies, with Hadoop (Pig, Hive, HDFS), Apache Spark, and NoSQL/SQL databases
4+ years of experience in business analytics and insights
Experience working in the Financial Services industry
Knowledge of deposit and investment products, payments and banking
Extensive experience connecting to and querying data from RBC data platforms and technologies EDW, Enterprise Data Lake (EDL)
Statistician
Roche —Mississauga, ON4.1
This role ensures the scientific rigor and regulatory compliance of the study by contributing to protocol development, authoring statistical analysis plans,…
The Opportunity:
You contribute to trial design under guidance, applying standard statistical methods
You draft and review protocols, statistical analysis plans (SAPs), and case report forms (CRFs) using templates and precedents
You perform or support statistical analyses as per statistical analysis plans, escalating issues when needed
You represent Biostatistics and PDD at the Study Team level, ensuring statistical and scientific rigor of study deliverables under guidance
You contribute to CSR development and regulatory responses using established templates
Who You Are:
You hold an MSc or PhD in Statistics, Biostatistics, or a closely related quantitative field
You have 1-3 years of relevant experience in clinical trial statistics within a pharmaceutical, biotech, or CRO setting
You are familiar with ICH guidelines, GCP, and regulatory requirements (e.g., FDA, EMA)
You have a strong understanding of statistical principles and methodology relevant to clinical trial design and analysis
You are proficient in SAS and/or R and familiar with CDISC standards
Effective communication skills with the ability to translate complex statistical concepts for non-statistical audiences
Experience with multiple phases of drug development (early and/or late stage)
Sr Analyst Energy and Water Reporting for Benchmarking Compliance
Enbridge —North York, ON3.8
Additionally, you will support the delivery of data analytics functions through the development of simple IT scripts to extract information from internal and…
Posting End Date: October 10, 2025
What you will do:
Ensure timely and accurate processing of EWRB requests.
Ensure EWRB application functions as designed and create defects when application fails to function as designed.
Monitor solution shortfalls and initiate change orders with IT for refinement of functionality.
Support testing of the application and monitor functioning of the application.
Explore streamlining of EWRB processes with Ministry of Energy, and other utilities.
Manage defects and manual processing of exceptions where necessary.
Generate EWRB reports for Management.
Support Business Intelligence functions with managing simple data requests.
Who you are:
University degree in OR a two- year technical diploma.
Possess two or more years of experience.
Experience in one of the following is preferred: IT application development, application support, change management functions, Marketing, Market research, Customer care or Business Intelligence, Data analytics, Business Analytics.
Good communication skills and an awareness of how to communicate data and results effectively.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy.
Familiarity with IT incident management, change management, testing and engagement and testing processes.
Excellent interpersonal and problem-solving skills with a strong client/customer focus.
Advanced Microsoft Excel skills and good proficiency in SQL and Power BI.
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