2025-09-14 Data analysis Job Description
Manager, Customer Risk Analytics, Retail Credit Risk
Scotiabank —Toronto, ON3.9
Work closely with Global Risk Management teams to understand intrinsic & external risk factors for the lending portfolio; develop risk management strategies to…
Is this role right for you? In this role, you will:
Use a variety of analytical and reporting tools (ex. SAS, Python, Tableau) to provide dynamic reporting on key performance metrics to various stakeholders in GRM and business lines.
Respond to adhoc requests from executives and key stakeholders with a sense of urgency. Perform required data pulls, reconciliations to answer questions
Collaborate with Acquisition, Account Management and Collections teams to provide measurement and reporting on strategic initiatives such as acquisition dynamics and quality, line optimization and collections effectiveness
Identification of portfolio trends and key statistics using advanced analytics;
Provide analytical support on a regular and ad-hoc basis focusing on driving business growth and profits and minimizing loss
We’d love to work with you if you have:
The incumbent must have a good knowledge of the bank’s lending products, including Credit Cards, Line of Credits, Mortgages, and Auto Loans
Proficiency utilizing a variety of analytical tools including Python, R, SAS, SQL and Excel
Displays a high level of analytical maturity and sophistication, financial acumen and a solid understanding of profit drivers, KPIs and other factors
Bachelor’s Degree
2+ years analytical experience required
2+ years’ experience in Database Marketing and/or Risk Analytics
Must be proficient with MS Office, SAS/Python, SQL, Power BI, Tableau
2+ years’ experience in Retail Products (preferred)
CH&E Specialist (Evaluator) – Black Health Strategy
Centre for Addiction and Mental Health —Toronto, ON3.9
The successful candidate will possess a Master’s degree in a health sciences discipline, social sciences discipline, or a related field, with a minimum of three…
$37.51–$50.60 an hour
Responsibilities will include:
Building and implementing feasible, efficient, and sustainable evaluation plans for work connected to the implementation of system change initiatives using a variety of evaluation tools (e.g. logic models, theories of change, frameworks, indicator development, data support systems and reporting tools)
Providing and building capacity to sustain system-level and provider level evaluation activities, supporting the building of evaluation infrastructure with community partners and building their capacity to report on data findings
Preparing evaluation materials and communication products for sharing with diverse audiences (e.g., information letters/emails, consent forms, evaluation tools, reports, dashboards and presentations)
Developing methods for, and coordinating the collection and management of qualitative and quantitative data (e.g. protocol development, survey development, interview and focus group guides, data storage and quality assurance, coding, analyses, data visualization)
Job Requirements
The successful candidate will possess a Master’s degree in a health sciences discipline, social sciences discipline, or a related field, with a minimum of three (3) years’ related post-graduate work experience
Familiarity with the Canadian Evaluation Society (or similar) evaluation planning guidelines
Experience with quantitative, qualitative and mixed methods framework designs and approaches to data collection and a demonstrated ability to manage,
Fluency in statistical packages (e.g., SPSS, SAS, STATA) and experience with qualitative software (e.g., NVIVO) are assets.
An ability to communicate in languages other than English, including Indigenous languages spoken in Ontario and languages and dialects spoken in the African Diaspora is an asset.
Strong PC software skills including experience with Microsoft Office (Word, Access, PowerPoint, and Excel)
Credit Portfolio Officer
Citi —Mississauga, ON3.9
The Credit Portfolio Officer is a senior-level position responsible for leading activities including credit review, credit approvals and monitoring the…
$94,960–$142,440 a year
Responsibilities:
Develop framework for portfolio risk assessment including evaluation of credit and financial performance across varied lending products and industry segments
Understand applicable credit policies, industry regulations and the requisite impact of those governance items to prospective new partners or product initiatives
Utilize Statistical Analysis System (SAS) in a UNIX environment to perform risk, financial and data analyses including profiling, sampling, forecasting and new program due diligence
Prepare risk management presentations for senior management that include analytics on expected portfolio performance and areas of potential risk and/or opportunity
Qualifications:
6-10 years of experience in credit card risk management or equivalent training and experience preferably in the financial services industry
Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred
Product Data Analyst – CARFAX Canada
CARFAX Canada —London, ON3.8
Post-secondary education, college diploma or university degree in Data Analytics, Computer Science or Engineering.
Quick apply
Position Responsibilities
Acting as a subject matter expert with a thorough understanding of the data and its creation.
Contribute to the team’s data governance practice.
Provide ad-hoc analysis, visualizations and reporting as requested by other internal departments.
Provide requirements, practices and job-aids for departments to become self-sufficient for repetitive reporting/analytic needs.
Develop cross-functional relationships to foster collaboration with teams in Sales, Marketing, and Finance.
Maintain data flows through communication and coordination with stakeholders, IT, management and other external data providers.
Education and Experience Required:
Post-secondary education, college diploma or university degree
2 – 3 years of experience working with large data sets either in the industry or academic equivalent.
Data Science experience is an asset.
Demonstrable experience with BI Solutions (PowerBI, Cognos, Tableau, etc.).
SQL Query, statistical analysis software such as SPSS, SAS, R, Python are big assets.
Ability to work with stakeholders to identify and define business requirements and business rules
Experience in business data analytics assets (i.e. Financial valuations, quality assessments).
Knowledge of data governance practices and approaches include data policies, data lineage is a strong asset.
Understanding the latest trends such as advancements in AI, electrification, etc. would be considered an asset.
Analyst, Advanced Analytics
Fidelity Investments —Toronto, ON4.1
Works with tech groups to identify and resolve any data, environment, or implementation issues. The Analyst, Advanced Analytics role plans, designs, develops,…
What You Will Do:
Marketing, events, sales campaign analysis (AB tests, Pre vs. Post)
Support sales and marketing targeted campaigns
Participate in customer level analytical/research projects
Research and prototype advanced statistical/AI models
Complete ad-hoc requests for analysis, data extraction and information gathering
R&D new analytical tools and techniques
Augment periodic management reporting
What We’re Looking For:
Completion of University degree
Over 2-3 years of relevant work experience
Experience employing various statistical modelling and data analysis techniques, such as linear / logistic regression, decision trees, affinity analysis, clustering/segmentation and time series forecasting
Experience deciphering complex data and effectively communicating results to management
Enjoy building solutions and are comfortable writing codes and using analytical tools such as Knime
Experience with visualization software (Tableau, Power BI), Python and SQL
Experience applying advanced consumer intelligence / marketing techniques
Advanced proficiency with Microsoft Excel, Access and PowerPoint
Knowledge and experience in financial services, with a focus on the investment industry
Experience in Data Pipeline design and GIS software
Experience in developing and maintaining Python models.
Certification in MS Office, SAS, KNIME, Snowflake, Tableau
Business Intelligence Analyst
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.
$56,000–$103,500 a year
Candidate:
Ensures timely and accurate delivery of dashboard refresh.
Maintains various dashboards and ETL code using the most appropriate data extraction, data cleaning and data visualisation techniques.
Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
Develops data visualizations of “large” amounts of data that facilitate the intuitive presentation of data to decision makers.
Qualifications:
Systems Thinking.
Data visualization.
Data storytelling.
Illustration.
Creative thinking.
SAS
Business Intelligence development: Power BI / Tableau / Other
Business Intelligence development and reporting.
Senior Data Analyst
Intact —Montréal, QC3.6
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field. Advanced skills in Microsoft Excel.
The Key Responsibilities:
Implement data analytics strategies, including the integration of Microsoft Power BI, Power Automate, SharePoint, and Forms, to streamline business processes and internal controls
Collect, process, and analyze data using programming languages such as SQL, SAS, and Python.
Create clear and informative data visualizations using Power BI.
Develop advanced models for data manipulation, analysis, and visualization.
Conduct data cleaning and preprocessing to ensure data accuracy and integrity.
Translate complex data findings into a compelling narrative for non-technical stakeholders.
Your Experience and Skills:
Proven experience of 8 to 10 years as a Data Analyst.
Strong experience with data visualization tool Power BI.
Strong experience with Microsoft Power Automate, SharePoint and Forms.
Proficiency in programming languages such as SQL, Python, and SAS.
Strong understanding of statistical methods and their applications.
Advanced skills in Microsoft Excel.
Knowledge of database systems and experience with querying and managing databases.
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics,
Experience in the insurance or banking industry
MHSU Clinical Data Science & Analyses Lead
Island Health —Oak Bay, BC3.4
Works with a variety of programming language and business intelligence programs to develop and oversee databases, perform statistical analysis, analyzes trends,…
$31.92–$45.88 an hour
Job Description:
In accordance with the Vision, Purpose, and Values, and strategic direction of the Vancouver Island Health Authority (Island Health), patient safety is a priority and a responsibility shared by everyone; as such, the requirement to continuously improve quality and safety is inherent in all aspects of this position.
Reporting to the Director or designate, the MHSU Clinical Data Science & Analyses Lead is responsible for managing the compilation, data preparation, data visualization and analytics of complex health care data to meet the needs and strategic goals of the portfolio. Works with a variety of programming language and business intelligence programs to develop and oversee databases, perform statistical analysis, analyzes trends, and develop complex reports, tables, graphs and other supporting documentation. The Clinical Data Science & Analyses Lead ensures data used in reporting and analyses is accurate and complete. Collaborates with other members of the team to provide feedback on issues related to the data as well as the quality and accuracy of the reports generated.
QUALIFICATIONS:
Bachelor’s degree in Health or Public Administration, Health Information, Data Science or Science (Master’s preferred) and five (5) years of progressive experience performing increasingly complex data visualization, data preparation, analyses and interpretation, preferably in a health care setting. An equivalent combination of education and experience will be considered.
Demonstrated ability to apply basic clinical and biomedical concepts, clinical care processes, technologies and workflow methods for purposes of analysis and implementation of clinical information systems and applications.
Demonstrated proficiency with advanced statistical programs (SPSS, SAS), Microsoft Word, Access and Excel and various reporting software packages.
Demonstrated experience with database management and SQL (programming language).
Demonstrated strong data science, analytical and statistical skills (both qualitative and quantitative)
Consultant – Enterprise AI Governanc
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
Champion the responsible and ethical use of AI for solving business problems- Work with business units to understand their AI Governance needs, opportunities, and pain points. Work with risk and control teams to ensure AI related risks are adequately managed.
Ensure AI Solutions are managed and delivered in a governed manner- Work with AI development, technology, and risk/control/compliance teams in identifying, assessing, and mitigating AI-related risks in accordance with AI risk management best practices, tools and techniques to comply with governance requirements and accelerate CIBC’s leadership in ethical and responsible use of AI.
Translate research to insights and inform decision making- Monitor, research, and report on the latest trends and developments around AI risk management. Help ensure that all AI risk management processes, tools, and techniques are inclusive of the requirements necessary to meet the growing demands and advancements in AI by suggesting and making changes to the current state.
Who You Are
You can demonstrate experience in developing, assessing, and evaluating AI solutions. Knowledge of Predictive Modelling, Machine Learning, NLP, Computer Vision, and other AI disciplines is a must have. You are a seasoned Data Science professional with strong foundational knowledge
You have extensive hands-on experience in developing and deploying AI or Machine Learning solutions using Python, SAS, or R. Additionally, you have strong coding skills in SQL and hands-on experience with Tableau.
You are passionate about the responsible and ethical use of AI to benefit society. You enjoy conducting research, developing processes and guidance, and educating others on this important topic.
You’re a certified professional. You have a degree in a relevant discipline with education and knowledge that are transferrable to AI Governance.
You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
Financial Performance Analyst
CIBC Mellon —Toronto, ON3.6
Assist in preparing communications and presentation for senior leadership to share insights on both scheduled and ad-hoc basis, including client dashboards,…
Responsibilities:
Prepare client and product profitability (CPP) reports by consolidating data from various sources, update and upload inputs to the CPP models and validate results.
Provide senior leadership team with informative business commentary of the client and product profitability (CPP), highlighting opportunities for growth and improvements.
Conduct financial reviews of business cases, repricing analysis, upsell / cross-sell opportunities and ad-hoc analysis for various strategic initiatives to drive improvement in revenue and profitability.
Assist in preparing communications and presentation for senior leadership to share insights on both scheduled and ad-hoc basis, including client dashboards, trend & scenario analysis, cost-benefit analysis, variance analysis and driver-based modeling.
Work closely with senior leaders in Finance and business units to work cross-functionally and use data insights to drive better decision-making across the whole organization.
Implement, maintain and enhance management reporting formats, controls and processes, in consideration of internal, regulatory and compliance requirements (i.e. Shareholders, Board, OSFI, etc.) and drive continuous improvement through automating functions and finding scalable solutions.
Qualifications:
Undergraduate business degree with or working towards a professional accounting designation (CA, CGA or CMA) or CFA or MBA
3-5 years of progressive experience in accounting, financial planning, analysis and management financial reporting
Advanced skills in Excel, database knowledge (Access), and experience with Tableau
Deep understanding of Activity Base Costing principles and application
Strong analytical and problem-solving skills along with excellent interpersonal skills including written and oral communication ability
Experience in a similar role preferably in the financial services industry
Exposure to integrated ERP systems; SAP PCM or SAS CPM; data extraction (Extract, Transform, Load)
- 加拿大就业, 政府与银行 offer, 数据分析师, 零基础
