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Research Associate, Health Data Analytics & Evaluation

The University of Calgary —Calgary, AB4.1 

Reporting to the Managing Director of PLP, the Research Associate will work collaboratively with the PLP Calgary team of project managers, human centered…

Application Deadline: May 9, 2025

Summary of Key Responsibilities (job functions include but are not limited to):

Integrate, clean, and manage complex datasets from multiple systems to ensure longitudinal consistency 

Conduct data mapping, transformation, and technical documentation, including variable definitions and quality assurance protocols

Perform advanced statistical analyses (e.g., R, Stata) to generate insights that inform clinical reflection 

Conduct regression analysis and quantitatively analyze data to understand change in physician practices 

Contribute to scholarly dissemination of project results and outcomes including drafting methods, design, statistical analysis and discussion for manuscripts and conference proceedings

Qualifications / Requirements:

Master’s degree in a health science-related field 

Minimum of 1- 3 years of technical experience working with health data, 

Advanced proficiency with statistical software (e.g., R, Stata, SAS) and demonstrated ability to present and interpret data using visualization tools (e.g., Tableau, R, Excel, PowerPoint)

Knowledge of Alberta’s health data systems and platforms (e.g., Connect Care, physician claims, DAD etc.) and familiarity with health care systems, academic environments and provincial QI initiatives

Proficient in Microsoft 365 applications and tools, including Word, Excel, PowerPoint, and MS Teams 02

Manager, Business Insights Specialist

申请链接 https://www.workopolis.com/search?q=sas&l=canada&s=d&job=kjT9rOh3sf9mArqT7X-YYkZS_gm9AnBdmDsIT6Fyp7qujnKGOoZXSDjD986yeuq-

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Manager, Business Insights Specialist

TD Bank —Toronto, ON3.8 

Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement…

$91,200–$136,800 a year

Primary Accountabilities

Responsible for stress testing model execution in line with established playbook

Present the results for review and approval by LOB and senior management of wholesale businesses & challenge function groups

Execute all required control procedures and maintain a strong control environment for stress testing processes based on program requirements and standards

Develop aggregation models or processes as necessary, including required documentation.

Develop SOP for each task executed during cycle and cross train with team member for various models

Work with Model Lifecycle Environment developer team to review model implementation in SAS and debug issue during model execution

Qualifications / Skills / Experience:

Must be proficient with quantitative analysis tools and concepts

Working knowledge of SAS and / or Python

High degree of proficiency in Microsoft Excel, PowerPoint and Word

Experience in supporting wholesale businesses and knowledge of wholesale products and processes

Strong accounting or finance background, with the ability to read, understand, and interpret balance sheets and income statement

Knowledge of wholesale stress testing processes an asset

7+ years of relevant experience

CFA/FRM certification is preferred03

Senior Analyst, Financial Systems

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Senior Analyst, Financial Systems

Loblaw Companies Limited —Brampton, ON3.4 

Lead in design, development and implementation of new projects that affect POS (point-of-sale), POSDTA, and ECC concerning revenue and cost postings.

Key responsibilities:

Lead in design, development and implementation of new projects that affect POS (point-of-sale), POSDTA, and ECC concerning revenue and cost postings.

Track, maintain, and investigate production issues related to projects affecting POS, POSDTA and ECC.

Identify data issues and communicate with corresponding groups across the business

Assist with StatsCan and ad hoc reporting projects and analysis as required

Qualifications:

Minimum 2 years related work experience in similar role.

University degree or an accounting program (CGA, CMA, CA) would be a definite asset.

Thorough understanding of PnL and Balance Sheet

Advanced skills in Microsoft office applications (Excel: pivot tables, vlook-up, macros, graphing & sorting, Access: pulling data, joining tables & cross tab tables, PowerPoint).

Working Knowledge of SQL query tools (SAS) to develop reports or MicroStrategy would be an asset.

Some flexibility in working hours required.

Understand of retail environment and associated processes such as POS, Inventory, Costing

Strategic thinker with the ability to assess the implications to reporting resulting from process changes04

Assistant Vice President, Model Risk Manager

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Assistant Vice President, Model Risk Manager

MUFG Canada —Toronto, ON

Monitor model performance reports on an on-going basis to ensure models remain valid. Advanced degree of Masters or higher in statistics, finance, or other…

Responsibilities:

Developing, maintaining, and implementing the Bank’s Model Risk Management Program covering Wholesale Credit risk models which are used for supporting risk scoring, decision-making, stress testing, ALLL/CECL/IFRS 9, economic capital estimation, financial reporting, and risk management

Monitor model performance reports on an on-going basis to ensure models remain valid

Applying strong risk knowledge to solve problems independently, without relying on daily supervision

Perform independent validations of various models developed based on statistical analysis and machine learning techniques

Skills & Experience

Strong skills in quantitative methods including statistical analysis, and credit risk modeling

Strong skills in quantitative methods and computer technology, such as Python, R and SAS

3-5 years’ experience in related field

Strong understanding of financial services industry

Advanced degree of Masters or higher in statistics, finance, or other quantitative field

Industry certifications a plus (e.g., CFA, FRM)05

Senior Methodologist

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Senior Methodologist

Government of Alberta —Edmonton, AB3.8 

You will design and evaluate sophisticated statistical methods—ranging from survey sampling strategies to small-area estimation and model-based forecasting—to…

$80,290–$105,784 a year

Role Responsibilities

Be at the forefront of Alberta’s data revolution: lead the development and implementation of cutting-edge statistical methodologies that transform raw information into actionable insights

Reporting to the Director of Data and Statistical Services within the Alberta Office of Statistics and Information, the Senior Methodologist advances OSI’s mission to deliver high-quality, accessible data and analysis. You will spearhead methodological innovation, collaborate with cross-government partners, and ensure the rigor and reliability of statistical models that underpin provincial policy development and evaluation.

You will design and evaluate sophisticated statistical methods—ranging from survey sampling strategies to small-area estimation and model-based forecasting—to address complex social and economic challenges. As a technical leader, you’ll guide cross-discipline research initiatives, manage methodological aspects of multi-stakeholder projects, and mentor junior analysts. 

Shape statistical frameworks that influence provincial decision-making and public trust in government data.

Qualifications

University graduation is required in Statistics, Mathematics, Data Science, Econometrics or closely related field plus at least six years of professional experience in methodology and model development; and some formal coursework in survey or research or analytical methodology and model building.

Master’s degree is preferred.

In-depth knowledge in designing, planning and executing a variety of multi-stakeholder collaborative projects such as data development and management; survey, research, and analytical methodology; and modeling.

Expert knowledge of techniques and software for theoretical and applied econometric/statistical models.

Strong data management and analytical skills using advanced programming software such as SAS, R, Python, and STATA.06

Business Intelligence (BI) Specialist

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Business Intelligence (BI) Specialist

Aviva —Toronto, ON3.7 

Strong design and Documentation of all new and existing process development with a best-in-class outstanding mentality and design principles.

What you’ll do:

Craft and develop innovative BI applications

Build sophisticated queries and reports, using complex variable creation, multiple queries, 

Assess data quality making recommendations for workflow management

Perform advanced data cleansing, data analysis and build visualizations that provide an easy to understand and actionable solution

Collaborate within the Business Insights and Analytics team, on data requirements such as data structure, data flow, dependencies, and data mapping

What you’ll bring:

Demonstrated ability (5+ years) in BI Development and Analytics (using SAP Business Objects, Qlik, Tableau, or others)

Bachelor’s degree 

Previous experience in designing, developing, and implementing BI dashboards. Experience in SAS and Qlik is highly preferred.

Knowledge of Data Modeling and Data Warehousing concepts, solid understanding of databases such as Postgres, Salesforce, Hadoop, etc.

Experience with SAS or SQL, and hands-on Data cleansing and transforming using wide variety of data sources; structured and unstructured.

Experience with Cloud Data Warehouses such as Snowflake, Amazon Redshift or Google BigQuery is highly desired

Previous Insurance or Finance industry experience is preferred07

Senior Analyst Business Intelligence

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Senior Analyst Business Intelligence

Allstate —Markham, ON3.6 

Ability to Lead multiple project streams and provide technical direction to BI Analyst on designing solution and automating complex batch processing.

Accountabilities:

Design and develop solutions that will help you generate insights to be summarized and shared with our partners so they can better manage their business.

Create Power Bi reports and dashboards to identify, analyze, and interpret trends or patterns in complex data sets and provide Insights back to our Partners

Develop and implement databases, data collection systems, data analytics and other strategies that optimize overall efficiency and improve quality

Exceptional ability to visually present and communicate data, analyses, and findings

Ability to Lead multiple project streams and provide technical direction to BI Analyst on designing solution and automating complex batch processing.

Develop and Optimize SAS/SQL programs to create efficiency on run time.

Extensive knowledge and use of Microsoft SQL Server and all Microsoft services associated with SQL Server (SSIS, SSRS, and SSAS) is a plus but not required.

Qualifications & Experience:

University Degree (Math/Stats/Finance/engineering or similar) preferred

3-5 years of relevant experience is recommended (Marketing, Actuarial or Analytics)

At least 3 years of experience using Base SAS/EG, SAS Macro, SQL, Power Bi

Strong knowledge of Power Bi suite of Products and other visual analytics tools is a must

Sound knowledge of relational database structure

Collaborate with stakeholders to identify needs and opportunities to provide insights on how to better manage their business

Proficient in MS Word, Excel, and PowerPoint Experience with insurance/actuarial data will be considered a plus08

Senior Analyst, Enterprise Analytics and Asset Management

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Senior Analyst, Enterprise Analytics and Asset Management

Ontario Health —Toronto, ON3.3 

Minimum bachelor’s degree in healthcare informatics, Health Administration, or similar discipline preferred. Excellent interpersonal and communication skills to…

External Application Deadline Date: May 14, 2025

Here is what you will be doing:

Provides analytic asset leadership by offering consulting services to business and analytics teams 

Proactively identifies analytic asset needs based on an understanding of corporate and portfolio-specific priorities and available data

Participates and supports the Business requirement gathering sessions

Provides consultative support to stakeholders with respect to the analysis of data to identify and investigate data quality issues

Partners with Data Engineering function within the Data & Information Delivery (D&ID) team, to support data configurations & production of data and analytic assets in ADH

Accountable for the management and documentation of Analytic asset dictionaries, Analytics Product Catalogue

Accountable for user access management

Identifies and supports governance and capabilities work items to meet dynamic analytic needs

Here is what you will need to be successful:

Minimum bachelor’s degree in healthcare informatics, Health Administration, or similar discipline preferred

Preferred 3+ years of data related experience or experience in similar capacity

Experience working with relational databases, including writing SQL queries

Preferred experience with analytic tools like SAS, R, Python09

Biostatistical Research Data Analyst II

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Biostatistical Research Data Analyst II – ICES Kidney, Dialysis and Transplantation

Victoria Hospital —London, ON3.7 

The successful candidate will be required to work on-site four days a week starting from their first day until the completion of their first project, which…

$32.66–$40.83 an hour

Deadline: May 15, 2025

Responsibilities and Accountabilities: Responsibilities of the position include

Participating in the development of study designs and analytic plans;

Developing SAS programs to extract, merge and manipulate data from existing ICES databases to create study cohorts;

Conducting exploratory and statistical analyses, preparing and reviewing analytic outputs;

Engaging with the project team to provide advice on research feasibility, design, methodology, availability of ICES data and interpretation of findings;

Contributing to reports, abstracts, peer-reviewed publications and other relevant deliverables, in collaboration with principal investigators;

Contributing to a body of knowledge around variable definitions, macros and templates, analytical approaches or limitations in our data and resolving data issues as they arise;

Qualifications

BSc., or MSc or PhD preferred

At least one year of experience in a health facility or health research environment, with similar involvement in identifying or working with administrative data sources, designing research studies, procuring data, preparing reports, and editing with scientific rigour

Demonstrated knowledge of and commitment to the principles of patient and family centred care

Demonstrated knowledge of and commitment to patient and staff safety at LHSC

Demonstrated ability to attend work on a regular basis010

Email Marketing Specialist

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Email Marketing Specialist

Munvo —Toronto, ON4.4 

Relevant university degree in Business, Marketing OR equivalent work experience in a technical or business/technical blended field. A whole network of them.

As an Email Marketing Specialist, you will:

Anticipate client needs before they are requested and review them with the team

Stay on top of the campaign deployment tasks to ensure projects stay on track.

Develop strong relationships with marketing clients and internal team members

Manage campaign set up and execution in Salesforce Marketing Cloud leveraging existing Munvo or client process

Work as part of a larger team to implement processes, data strategy, data management and analytics

Develop Business Requirements Documents including, but not limited to, data management, campaign segmentation, campaign decision trees, test and control segments, list generation and deployment criteria

what you bring to the table.

1-3 years of experience with marketing automation software specific to email distribution, direct marketing or CRM.

Prior experience in segmentation, data analytics, solution design, email deployment, campaign management/testing and reporting.

Demonstrated success in the management of multiple projects in the area of web, CRM and/or digital ad space

Relevant university degree in Business, Marketing 

Excellent time management skills – the ability to multi-task, meet tight timelines and be flexible in adapting processes to meet project needs

Solution-oriented work, positive team player

Knowledge of the Banking or Financial industry (preferred)

Salesforce Marketing Cloud and/or Salesforce Data Cloud certifications are an asset