2026-04-04 Data analysis Job Description
Data Analyst
PC Financial —Toronto, ON3.1
$52,000–$71,500 a year
What you’ll do
Be hands-on coding – extracting, preparing, and analyzing large data sets
Provide Data Analysis for Contact center, Marketing Campaigns or Anti-Money Laundering teams
Familiarity with modern data platforms and tools, and emerging technologies such as GCP and Python.
Apply advanced analytics and build models to understand our customers
Create business critical end-to-end reporting and data processes: Perform ad-hoc analysis based on heterogeneous data sources to support business teams.
Closely adhere to legal guidelines regarding working with sensitive and confidential information
What you bring
1-2 years’ experience in a similar role, preferably in financial services/banking domain
Working knowledge of relational databases and SQL data extraction and manipulation tools
Be curious to understand the business model and customer journey to extract insights.
Hands on with Python and SAS. Modeling experience is a bonus.
Experience with BI tools and Cloud technology, such as Tableau and Google Cloud Platform.
University degree in Computer Science/Engineering/Analytics/Mathematics/Statistics
Experience in any of the following domains would be considered an asset: financial services/banking, credit cards/payments, credit risk
Experience working in AML or Marketing campaigns is a bonus
Reporting Specialist
GM Financial —Toronto, ON3.6
$52,000–$65,000 a year
Responsibilities:
Perform data mining using SQL, SAS, Cognos, Salesforce, and/or Excel via Enterprise Data Warehouse and Azure Cloud
Generate standard and ad hoc reports from various data sources, ensuring accuracy and timeliness
Translate technical data into user-friendly formats for stakeholders and decision-makers
Maintain and update data reporting processes and documentation to reflect system enhancements
Support new projects, initiatives, and testing requirements
Ensure compliance with corporate policies and regulatory requirements
What makes you a dream candidate?
Well-versed in various data analysis tools such as SQL, Excel, SAS, and IBM Cognos
Precision in data manipulation to ensure accurate and reliable report production
Proficiency in basic mathematical and statistical calculations to perform data summarizations
Ability to extract insights from complex datasets and translate them into actionable reports
Understand general data governance principles to maintain a strong commitment to handling sensitive information responsibly and adhere to corporate guidelines.
Experience
Automotive Finance, Data Reporting and Analytics, Leasing or Retail Finance preferred
Experience with data analysis, data mining, statistic, and forecasting and loan portfolio analysis as asset
1-3 years of experience in a similar role preferred
Experience with Cognos, SAS, Salesforce and Excel dashboards preferred
Previous experience with mining high volumes of data
Post-secondary degree or diploma required
Associate Data & Reporting Analyst
Co-operators General Insurance Company —Toronto, ON3.7
$26.86–$44.76 an hour
How you will create impact:
Execute regularly scheduled operational and BAU tasks and processes
Develop and/or update data and reporting process documentation
Monitor, document and respond to ad-hoc and support requests and ensure the issue and resolution are accurate, complete and to the client’s satisfaction.
Conduct thorough testing and reconciliation practices on data and metrics
Support in the development of new data and reporting workflows with guidance from senior peers
Able to work to gather and document requirements for Data, Dashboard, and reporting needs.
To join our team:
You have experience with descriptive analytics tools and languages (PowerBI, Execl, SQL, SAS, Python, R, etc)
General knowledge of business operations tools (SalesForce, PolicyCentre, ClaimCentre, BillingCentre) is an asset.
You have a post-secondary education.
Strong communication, time management, problem solving and attention to detail skills.
General P&C knowledge, specifically for home/property insurance is an asset.
Data Analyst, Junior ETL Developer – Project REACH
Sunnybrook Health Sciences Centre —Toronto, ON
Key Responsibilities
Assist in building and maintaining reliable ETL processes to support the enterprise data warehouse and BI reporting.
Participate in the investigation of new data sources and document data specifications to support data acquisition.
Write and optimize T-SQL queries, stored procedures, SSIS solutions, and basic database structures to support business rules.
Perform testing and validation of data models and maps to ensure the accuracy and integrity of hospital reporting.
Work closely with Decision Support analysts and data scientists to integrate analytical models and metrics into operational and strategic dashboards.
Develop and automate recurring reports and dashboards for clinical, operational, and administrative stakeholders.
Qualifications/Skills:
Bachelor’s degree in Computer Science, Health Informatics, Engineering, Applied Mathematics,
0–2 years of experience in data integration, SQL development, or BI (internship or co-op experience in a data-centric role is highly valued).
Solid understanding of relational database concepts and basic ETL principles. Proficiency in SQL (T-SQL) is required. Familiarity with ETL tools (e.g., SSIS, Azure Data Factory) or BI tools (e.g., Power BI, Tableau) is a strong asset.
Interest in or basic familiarity with healthcare data (e.g., DAD, NACRS) is preferred but not required.
Experience with scripting or statistical programming languages such as Python, R, or SAS.
Analyst, Enterprise Data & BI (42027)
Cameco —Saskatoon, SK4
$94,000–$117,000 a year
In this role, you will:
Work within a team of technical experts to understand the data requirements and optimise their use within supply chain management.
Improve business processes and drive innovation using business data and analytics.
Be responsible for developing creative dashboards, front-end visualizations and data modelling that will provide decision support capabilities.
Be part of an exciting digital transformation journey, as Cameco matures from descriptive to more predictive and prescriptive data analytics.
Work a hybrid schedule at Cameco’s Saskatoon head office.
Required:
bachelor’s degree
Experience with SAP in the following areas: Supply Chain, Plan to Pay, Materials Management and Finance;
minimum five years of applicable work experience;
strong knowledge of data visualization best practices and techniques;
experience with data curation, report creation, key performance indicator (KPI) development and statistical analysis;
analytical skills, including strong SQL query knowledge; and
self starter and ability to understand business need and execute work independently.
experience working with an enterprise data warehouse – BigQuery, Azure or equivalent;
experience with business reporting tools – Power BI, Looker, Tableau, SSRS or equivalent;
experience with ETL tools (Dataform, Apache Airflow, SSIS, or others);
exposure to predictive analytics, Python, SAS or equivalent.
Data Scientist
Momentum Financial Services Group —Toronto, ON4
$95,000–$105,000 a year
What You’ll Do
Design, develop, validate, and deploy predictive and prescriptive models across financial products
Apply machine learning, statistical, and optimization techniques to solve business challenges such as credit risk, fraud detection, pricing, and customer acquisition
Ensure models are scalable, compliant, and deliver measurable impact
Analyze large and complex datasets to identify patterns and extract meaningful features
Improve model performance through data-driven insights
Partner with data engineers, product teams, risk teams, and business stakeholders
Ensure models align with regulatory requirements and internal governance standards
Monitor model performance and implement enhancements or retraining
What You’ll Bring to the Table
2+ years of experience in financial services, credit risk, fraud analytics, or marketing analytics
2+ years of experience applying data science to solve business problems
Strong experience with SQL, Python, R, or similar analytical tools
Bachelor’s degree in a quantitative ; Master’s or PhD in a related field is an asset
Proficiency in programming languages such as Python (preferred), R, or SAS
Strong SQL skills for data extraction and analysis
Experience with machine learning libraries and statistical modeling
Familiarity with NLP and modern AI techniques (e.g., LLMs) is an asset
Campaign Analyst
CorGTA —Toronto, ON4.9
Up to $66 an hour
–Must Have skills:
1) 4+ years of Campaign Designer, Campaign Developer related experience needed, within a banking or retail industry
2) 4+ years development experience with Python
3) 4+ years Strong experience with Base SAS for campaign development and process development
4) 2+ years of recent experience with GCP and Workstation is critical for the role.
5) 4+ years experience Campaign design and delivery experience (experimental design, target/control, statistical significance…etc)
6) 4+ years experience with relational databases and solid SQL skills (SQL Server, DB2, MySQL)
Nice to have:
1) Cloud computing experience
2) Analytical background with a quantitative focus, such as statistics, applied mathematics, economics, computer science
3) Data management experience
Marketing Data Science Specialist
Superior Propane —Calgary, AB3.2
$82,300–$102,800 a year
What you’ll do:
Advanced Analytics Projects: Lead at least one advanced analytics initiative in your first 6–12 months, applying predictive models or AI techniques to drive immediate, actionable insights.
Business Collaboration & Awareness: Partner closely with various stakeholders (Marketing, BI, IS), and other cross-functional groups to understand business challenges and uncover data-driven solutions.
Data Storytelling & Presentation: Transform complex analyses into compelling, concise narratives for both technical and non-technical audiences. Communicate results directly focusing on outcomes over process.
Customer Sentiment & Retention Insights: Own or influence metrics around customer sentiment, retention, and marketing strategy (e.g., segmentation, sentiment analysis, profile building).
Process Expertise & Execution: Employ established analytics processes (data ingestion, cleaning, modeling) to efficiently deliver results while maintaining high data quality.
NA Collaboration: Operate effectively with a geographically dispersed team; coordinating project timelines, sharing updates, and ensuring all stakeholders remain engaged and informed.
What you bring:
A bachelor’s degree (or demonstrated hands on experience)
Professional courses or certification in advanced analytics, marketing analytics, or AI/ML tools would be an asset
Solid experience (minimum 3 years) working with analytics or big data, particularly around customer behavior, segmentation, or strategic marketing.
Proficiency in programming languages including SAS, Python, R, and/or SQL and data visualization tools such as Power BI, Tableau or Looker.
Familiarity with AI tools and the application of machine learning models (without needing to engineer deep ML solutions from scratch).
Skilled at presenting outcomes in a straightforward, direct manner, making complex analytics understandable to non-technical colleagues.
Enjoy working with various teams (Marketing, BI, IS, Finance, Sales) to refine processes, spark innovation, and achieve mutual shared goals.
Business Intelligence Analyst (Risk Data and Analytics)
Farm Credit Canada —Regina, SK4
$92,310–$124,890 a year
What you’ll do
Develop and deliver risk – focused analytics using credit risk, portfolio and model data
Analyze portfolio and model trends to identify emerging risks, performance shifts and drivers of change
Unlock insights from complex data to support data – driven decision – making
Query, analyze, and manage data using SQL, Python and enterprise data sources
Use visualization tools to communicate complex information to non-specialists
Collaborate with risk, modelling, and strategy teams to ensure analytics are aligned with business and risk objectives
What you’ll bring to the team
A degree in finance, business, economics, mathematics, statistics, computer science or a related field
Minimum four years of experience in data manipulation and management tools (or equivalent combination of education and experience )
Knowledge of statistics and mathematics or data configuration , combined with strong business domain knowledge
Proven knowledge of one or more visualization tools
Proficiency with tools such as SQL, Python, QuickSite , or similar technologies
Experience in credit risk and portfolio analytics, including financial risk measurement, model – based projections, portfolio performance monitoring, and risk-informed planning
Exposure to valuations, economics, or pricing
Exposure to cloud environments and analytics platforms ( e.g. AWS )
Analyst, Advanced Analytics
Fidelity Investments —Toronto, ON4.1
$75,000–$95,000 a year
How You’ll Make an Impact:
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
Augment periodic management reporting
What We’re Looking For:
Completion of University degree (Engineering, Math/Statistics or Computer Science related)
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
Experience in Data Pipeline design and GIS software
Experience in developing and maintaining Python models.
Certification in MS Office, SAS, KNIME, Snowflake, Tableau
Genuine interest in capital markets, financial industry, banking, future state of technology like artificial intelligence & machine learning
- 加拿大就业, 政府与银行 offer, 数据分析师, 留学生, 零基础
