AI时代的数据分析师：从工具到思维，如何用技术重塑你的工作方式？
2025年7月24日
2025-07-14 to 2025-07-20 Latest data analysis JD
2025-07-14 to 2025-07-20 Latest data analysis JD
BNP Paribas —Montréal, QC3.8
To assist in the building of a comprehensive framework of credit portfolio risk analytics and to deliver to the senior management focused and timely credit…
the responsibilities of the “Credit Portfolio Analysis and Risk Reporting” are below areas:
Monitor and analyze the evolution of the Bank’s credit risk portfolio for NAR
Production of dashboards and Credit risk information to be communicated to stakeholders.
Key liaison and support for RISK Corporate that includes production of analysis and reports covering their portfolio, KRIs.
Contribute to ad hoc projects that enable more efficient ways to analyze and use Credit risk data.
To analyze the credit CoR evolution and dynamic incl. performing sensitivity analyses
The strengths and skills that will help you succeed
Bachelor’s in finance or related.
Minimum 1-3 years of experience in Corporate and Institutional Banking sectors.
Good to have a master’s degree in finance or CFA/FRM equivalent.
Good knowledge of credit & counterparty risks.
Good to have technical knowledge like SAS, Python, Power BI (other similar visual tools).
Excellent communication skills, and ability to present comprehensive risk reviews to Senior Management.
Bell —Toronto, ON3.7
Participate in the development, improvement and implementation of new processes and initiatives to drive activity and incremental channel growth.
Key Responsibilities
Support the development and implementation of a strategic data modeling and analytics practices.
Participates in the transformation of existing processes and tools with machine learning techniques
Work with territory and campaign data to derive insights to investigate complex business problems through a range of data preparation, modeling, analysis and visualization techniques and tools including SQL, Python, Salesforce, and Tableau.
Support the build and implementation of predictive models and machine learning algorithms to analyze large amounts of information and discover trends and patterns.
Effectively communicate solutions and analysis to various stakeholders
Critical Qualifications
University degree
Experience in data visualization with proficiency in tools such as Tableau or Power BI.
Knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
Proficiency in programming languages including Python, SQL, SAS.
Effective process/project management skills and the ability to navigate and influence stakeholders.
Telco Experience is considered an asset
Experience with deep learning frameworks and AI methodologies.
Research Coordinator I Dept of Medicine Research
Unity Health Toronto —Toronto, ON4
Working closely with stakeholders across multiple institutions, they will lead patient recruitment for a large multi-site research study that aims to develop…
$38.25–$47.81 an hour
Duties & Responsibilities:
Ongoing coordination of study activities; day to day project management of timelines, resources, deliverables, and study tasks.
Recruit study participants through various means
Support quantitative and qualitative data collection, including designing interview guides, surveys, selecting/screening test sample, cleaning/coding data, and conducting interviews.
Support research team with manuscript writing/revising, data analysis, and performs reference scanning
Qualifications:
Minimum of Bachelor’s Degree or (MSc preferred) and 3 years of relevant experience.
Strong clinical knowledge and experience with reviewing patient charts.
Able to work independently and as part of a larger team that includes local and international stakeholders.
Knowledge of anatomy, GCP regulation and guidelines.
Excellent computer skills including Microsoft Office
Experience in programming and managing online surveys and databases (e.g. REDCap) is an asset.
Statistical software (e.g. SPSS, SAS, Stata, R/R Studio, Access etc.) is preferred.
Qualitative analysis software (e.g. NVIVO) is an asset.
Analyst- Business Intelligence
Peel Regional Police —Mississauga, ON4.4
Data Science Programming Certifications (eg. Python certification, R certification, SAS certification, SQL certification, JavaScript certification, etc.).
$71,653–$120,727 a year
What will your typical day look like?
Applies various statistical methods and automates processes for data collection and analysis
Applies data mining methods and techniques to large organizational data to discover anomalies, patterns, trends, and correlations to predict outcomes.
Develops and designs data visualizations, dynamic dashboards, statistical data models, algorithms, data mining, queries, reports;
Produces technical and business documentation, guided by statistical understanding, business context, and data governance.
Remains current on technology developments within fields relevant to current and future Business Intelligence and Reporting initiatives.
You are someone with:
A University Degree in Computer Science/Engineering, Statistics,
A minimum of four years’ experience in the development of Business Intelligence solutions and Data Science techniques
Demonstrated advanced knowledge of related computer applications pertinent to the function
Demonstrated knowledge of network software
Demonstrated knowledge of designing and developing dashboards and KPIs (Key Performance Indicators)
Knowledge of law enforcement preferred
Demonstrated knowledge and experience in data warehousing, data model design, and SQL Server
Livestock Statistician
University of Manitoba —Winnipeg, MB4.2
This position will use diverse data sets and apply specialized statistical expertise on designed (e.g., controlled feed trials) and observational (e.g., pre-…
$51,797.20–$74,401.60 a year
Closing Date: August 10, 2025
The opportunity:
This position will use diverse data sets and apply specialized statistical expertise on designed (e.g., controlled feed trials) and observational (e.g., pre-recorded data collected for managerial purposes) data arising from livestock, poultry, and associated fields (e.g., feed production, food processing, manure )
In this role, this position will interact with graduate students and research staff to provide statistical consulting to ensure the robustness of our research methodologies and guarantee that our findings are grounded in sound statistical principles. This will include the creation of an agriculture centric manual and delivery of statistical training. These resources will focus on statistical methodologies and analytical techniques relevant to our research in Animal Science, providing an easy-to-reference guide/manual. Technical expertise in statistical methods specific to livestock, poultry, and associated fields and the ability to communicate complex statistical concepts to diverse audiences will be critical in this role.
The qualifications and experience we’re looking for:
An MSc is preferred.
Two years of directly related experience is required.
Demonstrated experience working with datasets from livestock and related fields required.
Experience in delivering training in the subject of experimental statistics required.
Strong statistical skills, including understanding the complexity of relevant areas such as experimental design, mixed models, generalized linear models, or multivariate analysis specific to livestock and related fields is required.
Excellent proficiency in R statistical software package is required.
Experience in other packages (e.g., SAS, SPSS, Matlab) is required.
Associate – Sales Insights
Lilly —Toronto, ON4.1
Present findings and recommendations to senior leadership and other non-technical stakeholders using a storytelling approach.
Key Responsibilities:
Analyze sales team performance trends and sales data trends from multiple sources to identify key insights and opportunities.
Synthesize data from IQVIA, ZS, warehouse shipments, and reimbursement claims to provide a holistic view of sales performance dynamics.
Develop and maintain dashboards and reports to track key performance indicators (KPIs).
Stay updated with industry trends and best practices in data analysis and market research.
Support standardization and automation efforts to increase team productivity and efficiency
Collaborate with Business unit heads, Marketing and sales leads to define customer segmentation criteria.
Develop and maintain dashboards (Tableau, PowerBI, etc.) in collaboration with insight from business leads to support sales performance management.
Requirements:
Education: Bachelor’s Degree
Experience: 3 to 5+ years of experience, with 3+ years in analytics within the Canadian Pharma/BioTech/Medical Device industry.
Skills: Advanced capabilities in Python, SAS, SQL, R, Excel, and Power BI. Knowledge of retail insurance claims process and vendors. Fluent in English written and verbal communication.
Read, understand, interpret statistical analytics and their implications; usage of multiple data sources into comprehensive and actionable knowledge; scenario building
Manager, Business Analyst, Forecasting Models (20-Month Contract)
Scotiabank —Toronto, ON3.9
Our Regulatory Capital Model Development team is responsible for ensuring that every part of the model lifecycle, from planning to data selection, development…
Is this role right for you? In this role, you will:
You will work, day-to-day under the direction of the Regulatory Capital team, leveraging your analytic thinking and approach to support Regulatory Capital Modeling initiatives:
Map and / or re-engineer key processes, data flows and / or business rules
Translate concepts into algorithms and architect implementation solutions in accordance with business needs, and internal / regulatory policies and guidelines.
Business rules, financial formulae and algorithms
Newly generated and retrofitted automated reporting
Improved operational efficiency and effectiveness
Quantitative analysis to support ongoing decision-making
Recommendations of what else “we should look into / fix” next
We’d love to work with you if you have:
Bachelor’s Degree in Engineering, Information Sciences,
Fluent English-and prepare and edit high-quality documentation,
Experience as a Management Consultant, Business Analyst, Process Engineer, Financial Analyst or Data Analyst with a track record of accomplishments working on cross-functional teams
Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping and financial analysis
3-5 years of overall experience in consulting, business analysis or process engineering roles translating complex human processes to mathematical algorithms
Highly proficient with business productivity (ex., Visio, MS Project, JIRA, Teams, Lists), data governance / lineage (ex. Informatica, Collibra) and data management (SQL, Excel, PowerBI) tools
Refined ability to translate data extraction, transformation and analysis into queries / code (SQL)
Analyst
National Bank of Canada —Richmond Hill, ON3.9
We offer a wide range of ongoing learning opportunities for your development, including coaching, hands-on learning, and through the collaborating with…
Your role:
Contribute to risk analytics and reporting, including the preparation of analysis results and presentations
Participate in the development, implementation and back testing of credit risk models, including Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) and other models.
Support the monthly and quarterly risk production activities, quantify risk and capital, and identify key risk drivers.
Create and maintain documents for models and risk processes following the internal and regulatory requirements.
Complete risk-relevant tasks assigned by the supervisor and respond to questions and ad-hoc requests from the senior management in a precise and efficient manner.
Prerequisites
In an undergraduate or graduate program in Finance,
Completion or progression in CFA, FRM and/or SAS certification would be an asset.
Previous work/co-op experience in banks would be an asset.
Solid programming skills (i.e. SAS, SQL, Python, R, Matlab, VBA, etc.).
Outstanding analytical skills to identify the causes of risk changes.
Business and/or technical writing with clear and concise written communication skills.
Measurement Services Business Analyst
FortisBC —Penticton, BC3.4
Develops and maintains strategic plans for the systems maintained and documentation of preliminary design for system enhancements, integration, and development…
$6,770 a month
Responsibilities
Develops and maintains strategic plans for the systems maintained and documentation of preliminary design for system enhancements, integration, and development by working with line management and business experts.
Ensures system controls are defined, documented and in place to maintain data integrity.
Analyzes client requirements and extracts and formats data to generate a variety of specialized reports for internal and external clients.
Manages large sized projects.
Provides advice to other system administrators on system interfaces and business requirements.
Ensures user requirements are met through the design and user acceptance testing of system changes.
Conducts special studies relating to operations systems including researching and analyzing information and preparing reports on alternatives and recommendations.
Responds to inquiries from internal and external auditors and finance regarding operations systems policies and procedures.
Requirements
Completion of a recognized post-secondary technologist diploma
Four (4) years directly related relevant experience.
Excellent interpersonal (with both internal and external customers ) and organizational skills
Competence in managing multiple large projects.
Oral and written communications, presentation skills and adult training delivery ability, including the ability to share knowledge and skills with others.
Advanced knowledge of computer systems operations, environment and peripherals. Advanced knowledge of applications software in use at Terasen Gas and specialized software in use in the department: SAP, SAP Business Warehouse, SAS, and Energy or equivalent.
Operations Support, BCI 1
Bell —Toronto, ON3.7
Diploma, Bachelor’s degree or higher in business or a quantitative field. From Bell’s best networks for the home, the office and on the go to the member…
Responsibilities
Drive insights of retail sales and operations data, using tools such as MS Excel, SAS/SQL, MicroStrategy, GenAI, or Tableau to identify opportunities for improvement
Develop strong interpersonal relationships with cross-functional partners (Inventory, Business Intelligence, Compensation, etc.) to achieve business objectives
Translate complex analytical processes and insights into a non-technical manner to be easily understood by management
Support the digitization of retail processes with a focus on driving growth and reducing operating expenses
Manage multiple projects related to enhancements of retail operational processes through collaboration with multiple stakeholders
Critical Qualifications
Highly adaptable to change and a fast-paced environment
Ability to communicate effectively with Directors and VPs about technical data using layman terms
Demonstrated analytical ability with focus on detail, accuracy, complex problem solving and logic capabilities
Ability to leverage analytical and generative AI tools
Strong written and verbal communication skills
Highly organized, detail-oriented, ability to manage multiple projects in a fast-paced environment
Diploma, Bachelor’s degree or higher in business or a quantitative field
Previous experience using BI tools such as SAS/Teradata/MicroStrategy/R
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