数据可视化革命：Tableau一键引爆？
2025年7月1日
2025-07-07 weekly JD
2025-07-07 weekly JD
Modelling / Forecasting Senior Analyst (Quants)
TD Bank —Toronto, ON3.8
In this position, the individual will be responsible for the development, initial validation, documentation, and support in all stages of audit, implementation…
The individual will:
Data mining by making sense of large databases of historical data related to credit risk;
Predictive credit risk modelling based on rigorous statistical analyses of historical data, regression techniques, and econometric analyses;
The predictive models leverage both traditional statistical techniques as well as the new AI and machine-learning methodologies; and Estimating credit risk embedded in the Bank’s US retail credit product portfolios, as well as the amount of regulatory and economic capital the Bank needs to allocate against these portfolios.
Job Requirements :
A university degree
Strong working knowledge and hands-on experience using programming languages such as SAS, SQL, Python, R, MATLAB in the context of data manipulation, data mining, statistical analysis, and predictive modelling;
Proficiency in creating and manipulating large datasets for data mining and predictive statistical modelling;
Strong knowledge of modern statistical model development and validation concepts and techniques (particularly linear and logistic regression);
3+ years of work experience in the retail banking industry, and a working knowledge of retail credit products, policies, practices, and strategies;
A solid knowledge of concepts and methodologies used in Expected and Unexpected Loss, Allowance, Economic Capital, and regulatory stress testing for retail credit exposures;
3+ years of experience with retail credit risk data, analytics, and risk modelling;
A solid knowledge of Basel III requirements, including hands-on experience in developing and implementing Basel II Retail AIRB models;
Senior Data Scientist, Customer Analytics & Predictive Modelling
Canadian Tire Corporation —Toronto, ON3.5
Support the development of models and other analytics tools to increase customer engagement, marketing program efficiency, and loyalty program effectiveness.
In this role, you’ll :
Develop a deep understanding of our Retail business, Loyalty and Credit Card Customers, and Marketing
Support the development of models and other analytics tools to increase customer engagement, marketing program efficiency, and loyalty program effectiveness.
Be a part of scope and structure data science projects while considering business needs and technical constraints.
Perform advanced quantitative and statistical analysis of retail, customer and loyalty data
Establish Machine Learning/Deep Learning models to improve customer engagement and marketing program performance.
What you bring
M.S or PhD
3+ years experience developing data science solutions for retail businesses, or loyalty programs.
Proficiency in using industry standard programming languages, including Python, Spark, R, or SAS.
3+ years of experience querying and analyzing large datasets with tools such as SQL, Spark, etc.
Experience with version control systems particularly Git preferred.
Manager, Risk Report Development
BMO Financial Group —Toronto, ON3.7
A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
$69,000–$129,000 a year
Full job description
Designs, develops, and implements Canadian consumer credit risk reporting solutions using Power BI as the primary tool, along with SAS to meet management and regulatory reporting requirements.
Analyzes data and highlights significant information including variances, trends,
Support audit, conduct process and program documentation and review.
Support the maintenance of the risk reporting framework.
Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
Knowledge and Skills
3-5 years of relevant experience and post-secondary degree
Advanced skill in Power BI reporting (must have; this is the primary focus of the role).
Working knowledge of SAS. Proficiency in SQL for querying and transforming data.
Knowledge in credit risk management. and retail banking products (e.g., mortgages, credit card, loans).
Strong in documentation, presentation, and communication.
Familiarity with version control systems (e.g., Git) and task tracking tools (e.g., JIRA) in a structured development environment.
Senior Business Intelligence Specialist
Mercedes-Benz Canada Inc. —Mississauga, ON4
Education & Experience: Bachelor’s degree in computer science, Business Management, or a related field; 1–3 years of relevant analytics experience, ideally…
Key Responsibilities
Translate manual reports into dynamic, visual dashboards using Power BI
Improve data quality, consistency, and availability
Provide insight and support on campaign performance tracking and reporting
Analyze customer and prospect data to generate actionable recommendations
Identify key data sources and work to make them accessible
Respond to spontaneous requests from senior management and business partners
Qualifications & Skills
Power BI Expertise: Advanced skills in Power BI, including DAX and data modelling, with a strong ability to build dynamic dashboards and automate reporting processes.
Analytical & Statistical Proficiency: Hands-on experience with statistical modelling, machine learning (e.g., regression, classification, segmentation), and data storytelling using tools like R, Python, SAS,
Data Tools & Technologies: Proficiency in SQL and Excel; working knowledge of Microsoft Azure, Databricks, and other cloud-based data platforms; experience with digital analytics tools such as GA4 and Adobe Analytics.
Education & Experience: Bachelor’s degree in computer science, Business Management, or a related field; 1–3 years of relevant analytics experience, ideally within the automotive or related industry.
Analyst-Business Intelligence
Peel Regional Police —Ontario4.4
Data Science Programming Certifications (eg. Python certification, R certification, SAS certification, SQL certification, JavaScript certification, etc.).
$71,653–$120,727 a year
Open Date: 2025-07-04
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;
Operates database software to design, govern and maintain internal specialized analytical databases for internal organizational use.
Produces technical and business documentation, guided by statistical understanding, business context and data governance.
You are someone with:
A University
Data Science Programming Certifications (eg. Python certification, R certification, SAS certification, SQL certification, JavaScript certification, etc.) and Dashboard Development Tools Certifications (eg. Power Bi certification, Tableau certification, WbFocus certification, SpotFire certification etc.) preferred.
A minimum of four years’ experience in development of Business Intelligence solutions and Data Science techniques
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
Manager, Analytics & Campaigns
PC Financial —Toronto, ON3.1
Provide valuable consultation to the business in key projects on data requirements, program development, and performance monitoring.
What You’ll Do:
Direct a team of data analysts to support day to day analytical needs for marketing, Customer Contact Center, and AML.
Transform the way the business uses data by developing sophisticated reporting and analytics
Champion initiatives for deep analytic capabilities and leverage all available sources of data to build value for the business.
Implement PCF’s data modernization roadmap. Improve cloud data adoption (tools, data sources, platforms) in respective business areas.
Support department wide regulatory, governance and compliance practices by participating in Data Governance Office and Business Compliance programs.
What You Bring:
3-5 years of experience in the data and analytics domain, with people management experience
University degree
Curious mindset on business context and connects to the bigger picture
A strong voice to represent data needs and influence project design to address those needs
Experience with medium to large scale deep analytics projects preferably in a financial service/banking setting
Technical know-how with: Python, Google Cloud Platform, SAS, SQL and relational databases, ETL technologies, and Tableau.
Analyst/Consultant/Senior Consultant, AML Analytics – Financial Engineering & Modeling
Deloitte —Toronto, ON3.9
You will work closely with the clients to develop, implement, and enhance AML strategies, ensuring compliance with regulatory requirements.
$56,000–$126,000 a year
Roles
As part of the AML Analytics team, you will play a pivotal role in the clients’ Anti-Money Laundering (AML) efforts by utilizing advanced analytics and technology to identify and mitigate potential risks. You will work closely with the clients to develop, implement, and enhance AML strategies, ensuring compliance with regulatory requirements.
You will also be able to learn and work in other quantitative and analytical areas including customer behavior modeling, scenario modelling, capital optimization problems, and new innovations such as cloud computing, machine learning and artificial intelligence.
Ideally, you are someone with:
For Analyst, 0 – 1 year of relevant experience required; for Consultant, 1 – 3 years of relevant experienced required; for Senior Consultant, 2 – 5+ years of relevant experience required.
Hands-on experience in utilizing data analytics and machine learning techniques to detect and investigate suspicious financial activities.
Hands-on experience in developing and maintaining AML models to identify unusual patterns or trends
Strong programming skills in Python, SAS, SQL, R, VBA, etc. with hands-on experience working with large and complex data are critical to success; Automation experience with any of these programming languages is a plus.
Knowledge/experience of supervisory/regulatory requirements and guidelines (e.g. SR 11-7, OSFI E-23, FINTRAC guidelines, PCMLTFA, BSA/AML regulations, OFAC regulations, etc). Knowledge of industry best practices for AML/ATF such as Wolfsberg Principles is an asset.
Data & Customer Analytics Student (4 months) – Fall 2025
CT Bank —Oakville, ON3.5
Proactively monitor data, metadata and reference data and support the data stewardship community in resolving identified data quality and data integrity…
What You’ll Do
As the Student Data Analyst, you will provide structured transparency and management of our data assets. By focusing on data lifecycle, data quality and governance principles, the Data Analyst will ensure we know where our data comes from, is stored, is going and how it is being used and transformed along the way. The Data Analyst will enable a collaborative data environment where all stakeholders have access to the data they need, understanding, confidence and trust in the data they use and support for the data they steward.
What You Bring
Demonstrates behaviours of transparency, accountability agility and learning from others that will support your success
Currently enrolled in a Computer Science or related program
Experienced Microsoft user with proficiencies in Visio, PowerPoint, Excel and Word
Knowledge and understanding of programming concepts and language
Hands-on experience working with structured relational databases and writing SQL queries, preferably in an Oracle Database Environment
Exposure to the following tools or technology an asset: Hive, Snowflake, Python, R, Shell Scripting, SAS, basic Linux commands, Databricks, IBM Knowledge Catalog
Group Product Manager, Mortgage Retention Analytics
CIBC —Toronto, ON3.7
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
Data analysis and insights generation – Generate ongoing reporting and analyze large datasets to identify trends, patterns, and opportunities by translating raw data into actionable insights.
Strategic and analytical – Support leadership in making data-driven decisions by providing timely and accurate insights. Develop dashboards, reports, and visualizations to monitor key performance indicators.
Storytelling – Share insights in a compelling and concise manner to technical and non-technical audiences to support our business results. You should be comfortable building and delivering presentations to peers, partners and executives.
Who you are
You can demonstrate experience in a product management, data analytics or a business insights role for 3+ years with proficiency in data analytics tools such as Excel (VBA) and Power BI. Experience with other solutions such as SQL, SAS, Python are an asset.
You are analytical. You have strong analytical and problem-solving skills and excellent communication and presentation skills sufficient to prepare and present material to an executive audience.
Senior Analyst, Specialized Care
Date posted: July 3, 2025
Range minimum: $77,390.00/year
What you’ll do
. Works with the Lead to manage CIHI data to support the production of key deliverables. Key deliverables include relevant documentation, data tables, custom data requests,
Maintains detailed knowledge of data, tools, and analytical techniques used to produce standard and ad-hoc outputs.
Leads and/or contributes to the development of materials (e.g., analytical reports, methodology or technical notes, presentations, educational, media, etc.) for dissemination of findings and knowledge translation, and reviews written products for analytic accuracy and quality.
Ensures adherence to, and ability to demonstrate compliance with, CIHI’s privacy and security policies and procedures when using CIHI data and information.
What you’ll bring to the table
• Undergraduate degree. A graduate degree in is an asset.
• Three to five years related experience working with relational databases / large datasets, including manipulating, maintaining, and preparing data and presenting analyses and reports for different audiences.
• Proficiency with data manipulation, and advanced coding skills in Python are essential.
• Proficiency in use of Microsoft Office applications.
• Excellent attention to detail and problem-solving skills.
• Fluency in English is required, bilingualism in both official languages is an asset.
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