2026-02-28 Data analysis Job Description
Manager, Risk Analytics & MIS, Global Risk Management
Scotiabank —Toronto, ON3.8
Full job description
The Manager, Risk Analytics & MIS, Retail Credit Risk, GRM is responsible for monitoring, conducting analysis and making fact-based recommendations for Real Estate Secured Lending (RESL) portfolios. The incumbent will deliver analysis that provides holistic, actionable insights and product‑specific risk analytics. This includes, but is not limited to, monthly monitoring of balances, delinquency, and both portfolio and acquisition credit quality.
The role is highly technical and requires expert SAS, data analytics and BI tools skills
Use a variety of analytical and reporting tools (ex. SAS, Python, PowerBI) to provide dynamic reporting on key performance metrics to various stakeholders in GRM and business lines.
Collaborate with Acquisition, Account Management and Collections teams to provide measurement
Identification of portfolio trends and key statistics using advanced analytics; Effective and timely communication of strategic and operational results to the business teams
We’d love to work with you if you have:
In-depth analytics experience and solid business acumen are required.
The incumbent must have a good knowledge of the bank’s lending products, including Credit Cards, Line of Credits, Mortgages, and Auto Loans and should have familiarity with the Bank’s Risk Management activities.
Proficiency utilizing a variety of analytical tools including SAS, SQL and Excel
A proven ability to extract and interpret data; transform it into meaningful and actionable business insights effectively and accurately.
Mobile Product Data Analyst – 12 month temporary assignment
Intact —Toronto, ON3.6
$69,200–$84,600 a year
What you’ll do here:
Review the objectives of the mobile product teams and create custom dashboards to monitor performance.
Design and develop reports for product teams to test, track,
Analyze data and optimize its use in digital adoption programs.
Continuously improve the tools, data, and reports developed or used by the team.
What you bring to the table:
College or university degree in a relevant field,
At least 5 years of experience in an analytical role.
Ability to analyze and communicate complex results.
Excellent knowledge of SQL, VBA, and SAS programming languages.
Excellent knowledge of the Office suite, particularly Excel and Power BI, as well as Snowflake and Adobe Analytics.
For candidates located in Quebec, bilingualism is required
No Canadian work experience required however must be eligible to work in Canada.
Data Analytical Specialist/Scientist – Junior (Power BI, SQL)
Raven Indigenous Staffing —Toronto, ON
From $80,000 a year
Responsibilities:
Work closely with client’s groups to assess current data analytics and reporting capabilities,
Own the execution of analytics initiatives including end-to-end reporting and data set delivery.
Participate in documentation, development, testing, and end user training.
Design methods to capture, structure, transform, and process data to be used to generate models.
Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries.
MUST HAVE:
Experience building visualizations in Microsoft PowerBI
Superior Knowledge of MS analytical products in particular Excel and data validation on Excel forms.
Experience cleaning, transforming and joining data
Experience with SQL databases
Superior Knowledge of MS analytical products in particular Excel and data validation on Excel forms.
Statistical modeling using R and experience integrating R with Microsoft Power BI an asset
Experience building visualizations in R Shiny, SAS, Python, Esri/ArcGIS, Microsoft PowerBI, and PowerViewer, Cognos an asset
Data & Business Analyst
City of Calgary —Calgary, AB3.9
$41.49–$55.51 an hour
Apply By: March 12, 2026
Primary duties include:
Analyze learning and experience data to identify trends, risks, and opportunities
Translate business and learning questions into data requirements, metrics, and visualizations.
Develop, maintain, and enhance recurring and ad hoc reports and dashboards for HR/L&D leaders,
Respond to data and reporting requests, ensuring compliance with privacy legislation and corporate standards..
Monitor data integrity through audits and assessments; perform root-cause analysis
Validate, cleanse and transform data using analytical queries and data quality tools to ensure accuracy and consistency.
Qualifications
A completed 2 year diploma
At least 3 years of progressively responsible experience in data analysis, reporting, business analysis or analytics within a complex organizational environment.
Experience implementing and sustaining enterprise learning or HR systems with an understanding of data quality, metadata, governance and dashboard/report development.
Experience with AI-enabled analytics or digital learning tools and an understanding of ethical AI use, algorithmic bias and governance considerations in HR and learning technologies.
Advanced proficiency in Microsoft Excel, SQL, Power BI/Tableau and experience using data analysis, data visualization or automation tools.
Familiarity with analytics/statistical tools and certifications such as a Google Data Analytics Certificate, Certified Data Management Professional (CDMP) and SAS Certified Specialist will be considered assets.
Analyst-Business Intelligence
Peel Regional Police —Ontario4.4
$72,907–$122,840 a year
Qualified persons should apply online by Sunday March 15, 2026, by 10:59PM.
What will your typical day look like?
Applies various statistical methods and techniques and automates processes for data collection and analysis to aid data-driven decision-making, organizational strategies and initiatives.
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; handles data requests from FOI, public, internal departments
Operates database software to design, govern and maintain internal specialized analytical databases for internal organizational use.
Liaises with stakeholders to standardize the delivery, validity and security of dashboards and with end users to ensure data visualizations are contextually valid and provide the correct insight; troubleshooting/questions on Analytics data deliverables, data collection and data analysis on initiatives/projects.
Produces technical and business documentation, guided by statistical understanding, business context and data governance.
You are someone with:
A University Degree
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 designing and developing dashboards and KPIs
Knowledge of database administration, languages and platforms (including cloud) preferred
Knowledge of law enforcement preferred
Demonstrated knowledge and experience in data warehousing, data model design and SQL Server
Consultant, Business Analytics
CIBC —Toronto, ON
How you’ll succeed
Analytical/Reporting Skills – Demonstrate your analytical capabilities by applying descriptive analytics to analyze data and validate assumptions, understand and articulate results as it relates to the funds and clients. You will manipulate raw deposit funds, sales data, and client data sets
Collaborate – Work closely with multiple business partners to develop and deliver regular and ad hoc management sales reporting and value-add analysis
Reporting – Integrate and manipulate a variety of data sources into the reporting required to assess performance and/or profitability and be responsible for providing ongoing and/or ad hoc business level reporting support as required. Responsible for the delivery of daily, weekly and monthly core sales reports/dashboards and value-added analysis.
Who you are
You can demonstrate work experience and technical knowledge in Databricks, SQL, Python, and Microsoft Excel, with a strong foundation in data sourcing, manipulation, and reporting techniques to support robust analysis and informed recommendations. Proficient in developing Power BI visualizations and dashboards
You have a degree/diploma in equivalent to a University degree, A post graduate business degree would be beneficial. And, three years of experience
You have excellent attention to detail being meticulous and ensuring consistency of data across client, channel, financial and product data maintaining the highest quality of outputs
You love to learn. You’ve passionate about growing your knowledge, and you know that there is no limit to what you can achieve.
Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
Oak Valley Health —Markham, ON3.8
$49.30–$60.53 an hour
Responsibilities
Translates business needs into analytics/reporting requirements to support executive decisions and workflows with required information
Performs large-scale experimentation and builds data-driven models to answer business questions
Research and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed stochastic neighbor embedding (t-SNE), or principal components analysis (PCA) machine learning
Maintain documentation for all the activities listed above.
Support clinical and non-clinical areas in the development of KPIs, dashboards, data visualizations, and reports (routine and ad hoc) for the purposes of monitoring and optimizing organization performance on quality, safety, operations, and planning
Support reporting to various external reporting agencies including Ontario Health, and the Ministry of Health and Long-term Care
What you bring to the role:
Completion of a recognized University degree; Master degree is preferred
3+ years of project experience in successfully launching, planning and executing data science projects, including statistical analysis, data engineering, and data visualization
Knowledge of statistical and data mining techniques such as generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN)
Strong proficiency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS
Expertise in BI tools such as Power BI, Tableau, or other data visualization tools
Self-motivated and able to work independently with minimal supervision and also possessing a positive team spirited attitude
Excellent interpersonal and client relationship skills
Junior Data Scientist
ATB Financial —Calgary, AB
Apply before 13 March 2026
As part of this role you will:
Design and program methods, processes, and systems to analyze unstructured, diverse “big data” sources, to generate actionable insights and solutions
Collaborates with members of data teams to support investigation across a variety of topics
Responsible for utilizing a variety of data science techniques – time series modeling, unsupervised learning, supervised learning, and classic regressions to make predictions on financial and customer datasets
Build and expand on industry standard model monitoring practices to mitigate model risk
Promote a high standard for model documentation and begin bringing outdated documentation up to this current standard
Improve Model Development process and streamline end to end process of model implementation
Develop credit risk and stress testing models based on industry best practices
Skills, experience & requirements
Degree in Data Science, Computer Science. Advanced degrees would be considered an asset
Working knowledge in one or more general purpose programming languages including but not limited to: Java, C/C++, C, Objective C, Python, JavaScript, SQL, R, SAS
Practical experience in data reporting and visualization
BI Advanced Analyst II- Corporate Security
Bell —Montréal, QC
Application Deadline: 03/20/2026
Key Responsibilities
Strategy Design & Execution: Take ownership of detection and prevention coverage for suspicious transactions. Design, develop, test, and maintain robust threat detection strategies using Enterprise Management Systems and advanced analytics.
Data Analysis & Engineering: Utilize SQL (GCP, Oracle, Teradata, SAS, Hadoop) to mine large datasets. Create and maintain dashboards (Tableau, SAP BO, Microstrategy) to visualize trends for diverse audiences.
Innovation & AI Integration: Identify opportunities to apply AI/Machine Learning models to threat detection and define requirements for the AI development team.
Stakeholder Management: Build strong, effective relationships with Operations teams. Act as a bridge between technical data and business outcomes.
Agile Delivery: Work within an agile methodology to deliver value quickly, adapting to the ever-changing tactics of criminals.
Critical Qualifications
Proficiency in SQL (complex queries, stored procedures, data structures), experience working with large enterprise data warehouses and the tools to process the data (GCP Big Query, Cloud Composer / Airflow, Dataflow / Beam, Looker, Tableau, etc.)
Ability to translate complex data into actionable business insights. You focus on results and the “bottom line” impact
Domain Expertise: Experience in Fraud Detection, Cyber Security, E-Commerce, or Telecommunications.
Cloud & Big Data: Experience with Public Cloud (GCP, AWS) and distributed file systems (Hadoop).
Visualization Tools: Advanced knowledge of data visualization tools like Tableau or Microstrategy
ETL & Scripting: Experience with ETL tools (GCP BigQuery, Dataflow / Beam), SQL, Python
AI/ML Knowledge: Understanding of Artificial Intelligence and Machine Learning concepts.
Project Management: Experience with JIRA and Agile/Scrum methodologies.
Bilingual: Fluent in French and English (written and spoken)
data scientist
Goldfaith Investment Inc. —Woodbridge, ON
$46.50–$47.50 an hour
Full job description
Education: Bachelor’s degree
Tasks
Communicate the business and technical benefits of the analytic solution to both business and technical audiences
Confer with clients to identify requirements
Data Science
Design methods of collecting and processing data to answer specific research questions
Document technical requirements to ensure that products, processes and solutions meet business requirements
Extract information from unstructured sets of data
Design, develop and implement information systems business solutions
Computer and technology knowledge
Excel Visual Basic for Applications (VBA); R; SQL; Python;MS Excel; SAS
