2026-04-25 Data analysis Job Decription
Data Analyst
City of Calgary —Calgary, AB3.9
$46.21–$61.78 an hour
Primary duties include:
Identify, collect, clean, and analyze large, complex datasets using advanced statistical methods and business intelligence tools to extract meaningful insights.
Conduct qualitative and quantitative analyses to validate and interpret patterns, trends, and anomalies, and produce comprehensive insights
Design, implement, and manage robust data analysis processes,
Develop and utilize a variety of tools, reporting formats, and data visualizations to effectively communicate data analysis processes, trends, findings, and predictive
Select and present data through appropriate formats such as reports, presentations, dashboards, models, graphs, and other visualizations based on the nature of the data and the needs of the audience.
Design, implement, and maintain data governance, compliance, and data management frameworks that meet Corporate Security and corporate standards.
Qualifications
A degree in a relevant field such as Data Analysis, Data Science, Computer Science, Business Intelligence or Statistics and at least 8 years of progressive experience working with large, complex datasets across the full data lifecycle, including data collection, cleaning, analysis, and knowledge translation.
Proficiency in programming languages such as SQL, Oracle, R, MATLAB, and Python along with expertise in statistical analysis using tools like Excel, SPSS, and SAS.
Experience in creating data visualizations using platforms such as Power BI, Microsoft Forms, Tableau, or ESRI Story Maps
Data Analyst, OAW Growth Strategies and Initiatives
Desjardins —Aurora, ON3.8
$75,009–$110,014 a year
More specifically, you will be required to:
Use data, analytics, and insights to help leaders understand the big picture and track the effectiveness of growth strategies.
Analyze performance results, diagnose issues, and identify trends, successes, and areas of concern to support informed decision‑making.
Develop insights, recommendations, and implementation approaches that help refine and optimize growth initiatives.
Leverage your ability to manage technically complex data challenges and recommend improvements to processes, tools, and methods—positively impacting overall growth efforts.
What you bring to the table
Bachelor’s degree in a related field (e.g., Mathematics, Business, etc.)
A minimum of five years of relevant experience
Knowledge of the insurance and financial services industry
Knowledge of agent facing sales and servicing tools and systems
Advance knowledgeable in SQL and/or SAS
Proficient in business analytics
Advanced knowledge of how to produce reliable reports, dashboards, and action plans while ensuring data accuracy and information quality.
Senior Data Analyst
Santander Consumer Bank —Edmonton, AB3.8
$70,000–$90,000 a year
Job Duties and Responsibilities
Develop and program the risk and financial models, perform the model implementation and ongoing monitoring of results and controls
Ensure documentation of model governance, risk policies, and procedural updates in alignment with regulatory and internal requirements.
Perform statistical, quantitative, and qualitative analysis to assess risk measurement, and monitor model performance.
Conduct data reviews and perform quality control checks on data accuracy, consistency, and reliability of risk-related datasets.
Maintain accurate and up-to-date documentation, including data dictionaries, risk models, origination processes, and internal procedures.
Provide expert analytical support to enhance risk performance, operational efficiency, and regulatory compliance outcomes.
Qualifications
Diploma or degree
More than 3 years of experience in a financial modelling, risk management, data analytics, or related role.
Strong statistics skill using structured query languages (e.g., SQL) and statistical tools (e.g., SAS, Python).
Experience creating reports using Power BI and Microsoft Office.
Exposure to programming languages such as Visual Basic or VBA is beneficial.
Senior Developer, Business Intelligence
Atlantic Packaging Products Ltd —Toronto, ON3.2
$90,300–$112,900 a year
What You’ll Do
Study, analyze and understand business requirements in context to business intelligence
Design intuitive and visually appealing user interfaces for web and mobile applications
To design, develop, and deploy Power BI scripts and perform efficient detailed analysis.
Utilize Power BI to build interactive and visually appealing dashboards and reports.
To create charts and document data with algorithms, parameters, models, and relations explanations
Run DAX queries and functions in Power BI
To perform SQL querying for best results
To define and design new systems by analyzing current ETL processes.
What you’ll bring:
University Degree in Computer Science or Statistics, or related major.
5+ years’ experience using Power BI tools and BI systems.
Expert level skills to use Power Automate and other Power BI tools to build robust reporting.
Skilled in building rich dashboards, writing DAX expressions, and implementing security.
Ability to analyze existing tools and databases and provide software solution recommendations.
Experience with big data architectures and data modeling to efficiently process large volumes of data.
Data warehousing experience with cloud platforms like Azure, AWS
In-depth knowledge of Microsoft Business Intelligence stack like Power Platform (BI, Automate), SSRS, SSIS and SSAS.
Well versed in programming languages like SAS, R, Python, VBA and Excel.
Proficient in database management of SQL and NoSQL.
Senior Data Analytics Investigator
Scotiabank —Toronto, ON
Is this role right for you? In this role, you will:
Support the design and implementation of the overall enterprise insider threat program, user behavioral analytics and future data modelling and analytics initiatives in support of investigations, criminal activity and risk mitigation.
Contributes to the design of complex predictive models and pattern detection algorithms to detect suspicious digital fraud alerts and user behavioral activities. Decode and debug complex Search queries, build Use Cases for financial crime, employee monitoring, threat intelligence, Online banking, PCI & PII use cases.
Experience with/or ability to explore a variety of machine learning, statistical analytics and data mining techniques with the objective of improving Corporate Security’s investigative capabilities
Maintain the Banks’ enterprise insider threat intelligence program, and Corporate Security’s digital fraud investigation mechanisms by updating or creating new data models, rules, alerts, and/or dashboards to provide relative real time actionable intelligence.
Keep abreast of emerging insider threat techniques, digital fraud trends, investigative techniques, evolving regulatory requirements and assess potential impact to the bank.
We’d love to work with you if you have:
Post-secondary degree and/or 3+ year similar hands-on work experience preferred.
Minimum 4+ years of experience in an analytical role, creating complex data models, dashboards, algorithms, rules, and/or alerts, preferably in the context of user behavioral analytics and monitoring.
Training and/or certifications in Splunk Enterprise and Data Analytics would be an asset.
Experience cleaning, transforming and visualizing large data sets working with various data formats
Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
Highly competent in using analytical and computing tools, such as SAS, Java, R, Python, Hadoop, HIVE, Spark, etc.
Senior Python Developer
Raise —Toronto, ON4.3
$51.87–$61.24 an hour
Responsibilities:
Involves reviewing and analyzing existing metrics to determine how they can be effectively integrated into the current reporting platform and Tableau dashboards.
Throughout the day, the developer designs and refines reports and dashboards
This role requires a balance of technical expertise, collaboration, and strategic thinking to support high-quality, scalable, and user-focused analytics solutions.
Must-have Skills:
3–5 years of experience in reporting, analytics, or BI development roles.
Strong hands-on experience with Python scripting, including KPI development and metric standardization
Data transformation and automation
Proven experience migrating or modernizing SAS-based reporting logic into Python and SQL.
Experience converting Oracle BI (OBI) reports into Tableau.
Advanced SQL skills (complex joins, CTEs, window functions, query optimization).
Strong expertise in Tableau, including Complex calculated fields and LOD expressions
Experience in PowerBI, in addition, is highly desirable.
Dashboard performance tuning
User-centric design and interactivity
Experience working with large-scale, relational datasets
Prior experience in the banking industry
Senior Data Engineer – Tangerine
Tangerine —Toronto, ON
Defines vision, strategy and principles for data management at the Enterprise level.
Defines standards for naming, describing, governing, managing, modeling, cleansing, enriching, transforming, moving, storing, securing, searching and delivering data within the enterprise.
Ensures consistency across the board for internal and external datasets.
Creates logical and physical designs for data management capabilities (full lifecycle)
Documents and defining data processes, eliminating activities that don’t add value and straightening out the flow of the activities
Defines, socializes and implements Data Architecture (business intelligence reporting, predictive/reactive analytics, business rules, data warehouse, data-mart, data migration, ETL, backup and archival)
Responsible for understanding and complying with the Regulatory Compliance Framework including the Anti-Money Laundering/Anti-Terrorist Financing and Sanctions Policy and all AML related policies, procedures and controls within the department
We’d love to work with you if you have
University or College degree or equivalent experience
5+ years of demonstrated experience in data management solution design and development
Possesses proven technical skills in
OLTP and decision support information management
DDL and DML in Oracle, SQL Server, BigQuery
Python programming
Data Warehouse solutions (SAS and PowerBI)
ETL tools (Apache Airflow, Informatica)
Cloud: GCP, Azure or AWS
Strong financial background with excellent documentation skills
Senior Data Analys Fraud risk
National Bank of Canada
Montréal QC
Your job
Perform complex analyses and interpret data to support fraud risk management decision-making
Help define the sector’s strategic orientations
Make recommendations to reduce the risk of losses and optimise the efficiency of operations
Develop and implement fraud risk management models
Represent the Bank with various organisations and authorities to ensure proactive management of fraud issues
Prerequisites
A completed bachelor’s degree and 8 years of relevant experience, or a completed master’s degree and 6 years of relevant experience
Mastering data visualisation and modelling techniques (SAS, PowerBI, SQL, Python)
Be familiar with banking data warehouses
Experience in fraud risk management
Be available to participate in special projects or committees
(9) https://www.eluta.ca/search?q=SAS+sort%3Apost+salary_type_id%3A1+remote_jobs%3Alocal&pg=2
Senior Data Analyst $64,000 – $106,000
Canadian Tire Corporation Limited
Toronto ON
What you’ll do:
Be responsible for prototyping, building, and managing key data pipeline processes that fuel various Loyalty Customer reports and tools.
Solve non-routine analysis problems while applying advanced analytical methods as needed.
Provide key commentary on customer interactions across various media channels through effective presentation of findings at multiple levels of stakeholders.
Develop a comprehensive understanding of CTC’s Loyalty Customer data structures and metrics
Design intuitive dashboards to translate complex customer data into actionable insights across the organization.
What you bring:
B.S. degree in Engineering, Science, Mathematics, Statistics
3+ years of professional work experience in the data analysis domain.
Advanced knowledge of SQL to perform complex data analysis.
Intermediate knowledge of a programming language to transform and process data (Python, R, SAS, etc.).
Intermediate-level proficiency in Microsoft Excel.
Experience with Data intelligence and visualization platforms such as Looker, Google Data Studio, Tableau or similar tools.
Balance of technical and business acumen allowing for modeling business cases and proffering strategic recommendations.
M.S. degree in Engineering, Science, Mathematics, Statistics or Computer Science. (Asset)
Experience with statistical data analysis such as linear models, hypothesis testing, and sampling methods. (Asset)
(10)https://www.eluta.ca/search?q=SAS+sort%3Apost+salary_type_id%3A1+remote_jobs%3Alocal&pg=2#!
Senior Risk and Reporting Analyst
DUCA Financial Services Credit Union Ltd.
Toronto ON
Key Accountabilities & Duties
Maintain and improve all Retail and Commercial dashboards for portfolio monitoring.
Maintain and enhance robust data validation routines to ensure data completeness and accuracy
Prepare management reports and presentations to support DUCA’s Credit initiatives.
Prepare and maintain all data and reporting requirements for new and existing Retail or Commercial Credit business initiatives.
Update and maintain all required monthly and quarterly internal and external reporting for Retail and Commercial Credit.
Implement and maintain Teranet House Price Index (HPI) data into DUCA data warehouse and produce effective data analytics.
Design, maintain, and validate the quality and integrity of all regular reporting to ensure DUCA is meeting all regulatory and internal management reporting requirements related to DUCA’s Credit portfolio.
Analyze portfolio performance metrics such as delinquency, default, loss rates, PD, LGD, EAD.
Perform segmentation and trend analysis across borrower, product, industry, and region.
Independently perform retail and commercial loan Stress Testing (ST)
Occupational Experience & Education Requirements
Undergraduate or above degree in Business, Statistics, Economics or Finance2-3+ years’ experience in a Reporting or Business Analyst position in a financial institutionAdvanced VBA, Power Query programming skills with working experience in visualization and analytics tools such as Power BI, Tableau, etc.
Experience querying large, complex, and varied data sources by using SQL or python considered an asset
Experience in data sourcing, manipulation, and transformation
Completion of relevant courses, certificate or education in analysis, data management technology, or statistics considered an asset
Highly proficient with Microsoft Excel (formulas, pivot table), PowerPoint, and Word
Knowledge of Visual Basic for Applications (VBA), fluency with macros and/ or other automation tools
Proficiency in visualization and analytics programs like Power BI, Python, SAS, Tableau is an asset
Solid understanding of risks and exposures relating to retail and commercial lending products
