2026-04-18 Data analysis Job Description
Business Analyst
WRHA Corporate —Winnipeg, MB3.8
Main Function
Create, develop, audit and monitor reports, metrics, indicators and processes (such as dashboards, key performance indicators) for all levels of the health system
Support service area(s) and service delivery organizations (SDOs) with process, performance, and quality improvement, planning and operating decisions through data mining, analysis, monitoring, reporting
Work with large data sets to extract information to be applied to health service delivery,
Analyze large, complex data sets from a variety of disciplines to help identify provincial trends, national comparisons, dependencies, and patterns.
Work on clinical data analysis
Experience
3 years of progressive experience working in using analytical and reporting tools, specifically Power BI, R, Python, SQL, SAS, BOBJ or Cognos.
Experience working with large or complex data sets, preferably health administrative, clinical or financial data systems (e.g., DAD, NACRS, NRS, EDIS, ADT, SAP, MIS, etc.).
2 years of experience in defining data points, organizing and analyzing data.
2 years of experience with modeling and/or analysis.
2 years of experience working with statistical programs.
Post-secondary degree in a relevant discipline is an asset.
Program Effectiveness Analyst
Ministry of the Solicitor General —Toronto, ON2.6
$86,379–$127,288 a year
In this role, you will:
Plan, conduct and/or facilitate program evaluation, program audits, research studies and statistical analyses of direct service offender programs
Develop tools to support ongoing project activities requiring data capture
Conduct specialized audits of adult correctional programs
Advise ministry officials of the impact of program evaluation and research findings
What you bring to the team
knowledge of research methodology and statistical analysis to conduct research and analyze data.
demonstrated ability to plan, conduct, and facilitate program evaluations, and develop tools for projects.
present research summaries, evaluation results, and recommendations to key stakeholders and senior officials.
conduct interviews and focus groups with management, staff, and offenders.
proficiency with computer software applications and knowledge and experience managing large datasets and running statistical analyses
experience using computer software applications such as the Statistical Package for the Social Sciences (SPSS), R, SAS, and/or MPlus.
Clinical Business Solutions Analyst
University of Alberta —Edmonton, AB
Responsibilities
Managing the technological facilitation of student assessment data
Coordinating with the Manager, Technical Services on technical matters, inputting transfer/articulation, learning outcomes, and other curriculum data into relevant databases.
Managing all learning, high-stakes, and classroom assessment data collection.
Helping design and implement new interactive learning and assessment methods using software, including complex statistical analyses for student reporting.
Ensuring accuracy and completeness of data collected through custom software, data extraction, and developing regular and ad hoc graphical reports.
Providing analytical and data reporting tool solutions, training staff and users, and offering ongoing technical maintenance.
Coordinating assessment information management from course/program activities related to continuous improvement of assessment and evaluation practice.
Performing other related duties as assigned.
Requirements
The position requires a Bachelor’s degree
Minimum of 5 years of experience in planning, executing, and distributing quantitative reports and analyses are required
Excellent knowledge and experience with object oriented programming languages, automated testing strategies, and relational databases.
Expert in relational databases with SQL to query and combine small to medium sized databases
Experience in statistical software such as R or SAS and a demonstrated ability to collaborate in academic/education research
Ability to design and implement compelling visuals using Google Data Studio, Excel, Access or other reporting tools as needed
Fraud Analyst
Meridian Credit Union —Etobicoke, ON3.8
$59,800–$89,800 a year
About this opportunity
Reporting to the Manager, Fraud Analytics, this role is responsible to provide analysis, insights, and intelligence to aid in the delivery of a proactive fraud prevention and detection strategy, in line with policy, risk appetite, and appropriate standards. The analyst will support the development and implementation of reports, controls, policies, procedures, scorecards, and dashboards, and provide monitoring and guidance for the Meridian Credit Union, and Meridian OneCap (collectively, “Meridian”) Fraud Management & Corporate Security programs.
Conduct control reporting on existing detection strategies and countermeasures
Maintain and create documentation of risk-management frameworks, controls, systems, models, and
Identify, cleanse, map, aggregate, and document new data sources and work with other analysts
Create or support the creation of monthly, quarterly, and ad-hoc reports covering fraud metrics, fraud strategy performance, and trends analysis.
Support the Fraud Management & Corporate Security team in the execution of short-term and multi-year plans to achieve program and Meridian goals.
We’d love to work with you if you have the following skills and abilities:
Advanced knowledge of Microsoft Power BI. You know how to capture and work with data, and transform, analyze, and visualize the results.
Proficient at using Microsoft SQL Server to extract and isolate data. Working knowledge of Python or other tools (e.g. SAS, R) to complete data aggregation, cleansing, analysis, and automation.
Hands-on experience with low-code or no-code automation tools such as Power Automate, Power Apps
Familiarity with cloud analytics solutions such as Microsoft Fabric, Databricks, or Snowflake is considered an asset.
Designations such as the CFE or CFA, or progress towards them, are a nice to have.
Advanced knowledge of Microsoft Office Suite. You know how to use quick analytics tools like pivot tables, VBA, and create your own formulas in Excel.
Familiarity with fraud investigation techniques and fraud management systems.
Data Analyst
Moerae Solutions Incorporated —Ottawa, ON
Key Responsibilities:
Work with business analysts to understand the business requirements
Translate business requirements into technical ETL solutions
Presenting your data insights and findings using PowerPoint
Use Python for data manipulation, data cleaning and process automation
Key Competencies and Experience:
Must have 1-3 years of Python experience
Strong MS-Excel experience is required
Experience in the development of complex data queries and processes using various tools and technologies
Experience in data presentations and visualizations
Experience in presenting data reports to management and executives
Experience with reading, writing, and editing SQL procedures
Experience with ETL development as a data analyst
Microstrategy tool experience is an asset
Experience with some of the following packages & tools: SAS, SQL, R, Matlab, Python, Microstrategy, Tableau, etc.
Bilingualism, French/English, considered an asset
Senior Data Scientist, Customer Analytics and Predictive Modelling
Canadian Tire Corporation —Toronto, ON3.5
$32–$53 an hour
There are two positions.
Develop a understanding of our Retail business, Loyalty and Credit Card Customers,
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
Support the development of a robust measurement practice using the latest technologies and advancements in machine learning to provide timely insights.
Establish Machine Learning/Deep Learning models to improve customer engagement and marketing program performance.
Establish necessary data pipelines to deploy AI/ML solutions.
What you bring
M.S or PhD, preferably in Statistics/Math/Economics/Computer Science
3+ years experience developing and implementing data science solutions for retail businesses, or loyalty programs.
Strong background in statistics, optimization, mathematical modelling and forecasting preferred.
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.
Familiarity with cloud-based data structures including tools to extract, manipulate and transform data within the cloud.
Experience with Databricks and Azure Synapse is an asset.
Experience with version control systems particularly Git preferred.
3+ years interpreting, synthesizing, and presenting complex models and analysis to business partners.
MBCC – Data Analytics
IPG Mediabrands —Toronto, ON
Key Responsibilities
Lead and own development of dashboards to track and optimize programmatic business unit performance and campaign performance
Delve into marketing plans, partners, and vendors to improve measurement framework and tracking implementation
Outline the benefits and tradeoffs of Digital Attribution, Marketing Mix Modeling, and other measurement and optimization techniques
Guide the creation of advanced reporting through automated processes to more efficiently consolidate data from a multitude of internal, vendor, and application specific sources
Utilize SQL Scripts, APIs, and Excel Macros to dynamically update reports
Utilize Excel, Datorama, DOMO and Tableau to pull data into custom charts, tables, and to showcase the most critical series of actionable business metrics
Utilize understanding of SQL to more efficiently organize and manage data warehousing
Assist in creation of digital reporting datamarts hosted on Mediabrands SQL Server
Desired Skills & Experience
Intermediate to Advanced experience in data extraction, manipulation, analysis and reporting
Understanding of online marketing, digital media, web metrics, and campaign reporting
Advanced knowledge and proficiency in use of Microsoft Excel, PowerPoint & Access
Data Visualization experience (Tableau, DOMO, Datorama)
Prior experience in marketing analytics, consumer insights, programmatic media, ad serving platforms, media agencies, trading desks or a relevant start-ups
Knowledge of various measurement and campaign measurement technologies or methodologies, including website traffic analytics software, media attribution methodologies, demand side platforms (DSPs), data management platforms (DMPs) or digital ad operations
Modeling and programming experience especially in the digital environment
Experience with any of R, Python, SAS, SPSS, Access, SQL would give leverage to this application
Experience in digital analytics or marketing
Senior Business Data Analyst
Loblaw Companies Limited —Brampton, ON3.4
$60,000–$82,500 a year
Responsibilities:
Proactively partner with Finance stakeholders to identify, analyze, and translate their Business Intelligence needs into strategic solutions, delivering timely and accurate insights.
Develop insightful reports, dashboards, and analytical models from extensive financial data using MicroStrategy, Power Platform, and Excel, deliver data-driven solutions to critical business challenges.
Drive technical excellence by actively facilitating code and data design reviews with both internal team members and Loblaw Technology counterparts.
Create and maintain comprehensive, accurate documentation of team processes, methodologies,
Develop, maintain, and optimize large-scale SQL queries (e.g., in Google BigQuery, Teradata) for data extraction, transformation, and loading (ETL) to support financial reporting and analysis.
Design, build, and enhance Python and VBA scripts to automate data transformation, validation, and reporting processes to reduce manual effort and improve data accuracy.
Role Requirements:
Minimum 3 years related work experience in a similar role.
University degree or post-secondary education in Finance,
Working knowledge of database applications such Google BigQuery, MS SQL Server and Teradata.
Advanced level SQL skills, including complex joins, window functions, Common Table Expressions (CTEs), and performance tuning.
Working Experience with Application Tools such as SAS, Python, Gitlab, etc.
Foundational knowledge of data governance, predictive analytics, AI and modelling.
Familiarity with other GCP services such as Google Cloud Storage (GCS), Dataflow, Composer (Airflow), or Cloud Functions.
Familiarity with and/or exposure to BI Tools such as MicroStrategy, Power BI, Tableau, and financial systems and processes etc.
Business Data Analyst
SOMA Medical Assessments —Markham, ON4
$95,000–$105,000 a year
Key Responsibilities:
Design, build, and maintain standardized dashboards and recurring reports for executive and operational leadership, with a focus on sales, finances, conversion, case throughput, and client performance.
Conduct ad hoc and exploratory analysis to identify trends, anomalies, and opportunities
Develop and maintain forecasting models to support pricing, triage, and resource planning decisions.
Lead efforts to improve data quality, consistency, and governance across business reporting.
Translate business questions into structured analytical problems and communicate findings clearly to technical and non-technical stakeholders.
Support the development of data literacy across the organization by promoting best practices in data interpretation and usage.
Ensure reporting practices align with data privacy, security, and regulatory requirements (e.g. PHI/PI).
Education & Experience
4–7 years of experience in a business data analyst or similar role, ideally within healthcare, insurance, or regulated service environments.
Bachelor’s degree in Business, Finance, Economics, Data Science, or a related field.
Advanced proficiency in Excel (including PivotTables, VLOOKUP, INDEX/MATCH, data tables).
Strong SQL skills for querying and manipulating relational databases.
Experience with data visualization tools such as Tableau or Power BI.
Familiarity with statistical tools and scripting languages (e.g., SAS, VBA, Python) is an asset.
Proven ability to validate data, identify inconsistencies, and ensure reporting accuracy.
Is this role right for you? In this role, you will:
Support the management, configuration and execution of mortgage pricing activities:
Monitor the competitive landscape, key performance indicators and impact of pricing strategies on growth and profitability
Perform and review optimization scenarios and recommend changes to channel level and customer segment level mortgage rates
Quantify, execute and monitor impact of pricing changes
Manage reporting on the key performance indicators for the mortgage portfolio:
Deliver business insights by effectively leveraging technical tools including SAS Enterprise Guide, Base SAS, Python and powerBI for all management reporting activities
Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
Champion a high performance environment and contributes to an inclusive work environment.
We’d love to work with you if you have:
Bachelor’s degree and )2+ years of analytics experience
Knowledge & experience of utilizing tools such as SAS Enterprise Guide, Base SAS, Python, Power BI and Tableau for reporting and analytics
Knowledge of SQL, and experience of working on enterprise data warehouse platforms and enterprise data lake platforms (DB2/SQL Server/Hadoop)
Ability to source and interpret data, perform analyses and make informed recommendations
Good understanding of quantitative analytics and management reporting
Nice to have: Pricing methodological knowledge including quantification of customer value and price elasticity of demand, Working knowledge of Sales Management and the Retail Sales Process
