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Added 12 days ago
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Innovation Hub Solution Engineer - Application Development
Microsoft
Toronto, ON · Goodwood, ON
- Full-time
As an Innovation Hub Solution Engineer in the Microsoft Innovation Hub, with a focus on Application Innovation, you will merge business and technical requirements to craft comprehensive…
Added 12 days ago
Engineering Specialist, AWS
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
This role partners closely with business stakeholders, solution architects, product owners, and technology teams to deliver scalable, secure, and innovative contact centre capabilities that…
Added 12 days ago
AW
Manager, Data Transformation
Arterra Wines Canada
Mississauga, ON
- Full-time
…enterprise-wide standardization & adoption of BI tools, supporting automation of data, and development of PowerBI dashboards / visualizations to replace offline pulls. Acting as the bridge…
Added 12 days ago
AM
Forward Deployed AI Engineer
AGF Management
Toronto, ON
- Full-time
…priorities will focus on Investment Management and Distribution, with expansion across all business functions over…
Added 12 days ago
MF
Winter Intern 2027 – Portfolio Strategy, Research, Governance and Oversight
Mackenzie Financial Corporation
Toronto, ON · Greater Toronto Area, ON
- Other
At Mackenzie Investments You Can Build Your Career with Confidence. We are proud to be recognized as one of Canada’s Top 100 Employers for the fourth consecutive years and one of Canada’s…
Added 12 days ago
RB
Lead Platform Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
RBC's Global Payments Platform and DevOps Team is responsible for building and evolving the internal developer platform that accelerates software delivery across our payment systems. We…
Added 12 days ago
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Spin Qubit Calibration Engineer
Equal1
Sherbrooke, QC
- Full-time
Software Tools: Utilize and develop software tools in Python for data analysis, qubit control, and calibration automation. Collaborate using version control systems (e.g. Git) to manage and…
Added 12 days ago
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Lead Automation Developer - Vice President
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled Lead Automation Developer for a fully hands-on, programmatic engineering role dedicated to architecting, refactoring, and maintaining scalable, distributed…
Added 12 days ago
Senior Analyst, Data & Analytics (12 Month Contract)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Working closely with AI Enablement leads, Data Scientists, Data Engineers, business stakeholders, and technology teams, this role translates business opportunities into measurable AI use…
Added 12 days ago
Senior Analyst, Data & Analytics
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Working closely with AI Enablement leads, Data Scientists, Data Engineers, business stakeholders, and technology teams, this role translates business opportunities into measurable AI use…
Added 12 days ago
Advanced Analytics and AI Lead
EY
Toronto, ON
At EY, we’re all in to shape your future with confidence.
Added 12 days ago
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Specialist, Data Engineering
Sherweb
QC
- Full-time
…Spark job definitions for batch and streaming jobs. You’ll work with tools like Azure Data Factory, PySpark notebooks, Spark SQL and Python to implement scalable and efficient data…
Added 12 days ago
CL
Senior Analyst, Data & Analytics (12 Month Contract)
Canada Life
Toronto, ON
- Full-time
Working closely with AI Enablement leads, Data Scientists, Data Engineers, business stakeholders, and technology teams, this role translates business opportunities into measurable AI use…
Added 12 days ago
CL
Senior Analyst, Data & Analytics
Canada Life
Toronto, ON
- Full-time
Working closely with AI Enablement leads, Data Scientists, Data Engineers, business stakeholders, and technology teams, this role translates business opportunities into measurable AI use…
Added 12 days ago
AC
Data Science Specialist
Amaris Consulting
Toronto, ON
- Full-time
Collaborate with stakeholders across Manufacturing Science & Technology (MSAT), Automation, Digital, Quality, and other functions to gather analytics requirements.
Added 12 days ago
CL
Senior Analyst, Data & Analytics
Canada Life
Winnipeg, MB
- Full-time
Working closely with AI Enablement leads, Data Scientists, Data Engineers, business stakeholders, and technology teams, this role translates business opportunities into measurable AI use…
Added 12 days ago
CL
Senior Analyst, Data & Analytics (12 Month Contract)
Canada Life
Winnipeg, MB
- Full-time
Working closely with AI Enablement leads, Data Scientists, Data Engineers, business stakeholders, and technology teams, this role translates business opportunities into measurable AI use…
Added 12 days ago
CL
Senior Analyst, Data & Analytics
Canada Life
London, ON
- Full-time
Working closely with AI Enablement leads, Data Scientists, Data Engineers, business stakeholders, and technology teams, this role translates business opportunities into measurable AI use…
Added 12 days ago
CL
Senior Analyst, Data & Analytics (12 Month Contract)
Canada Life
London, ON
- Full-time
Working closely with AI Enablement leads, Data Scientists, Data Engineers, business stakeholders, and technology teams, this role translates business opportunities into measurable AI use…
Added 12 days ago
GD
Student, Robotic Process Automation Developer
General Dynamics Land Systems–Canada
London, ON
- Other
Demonstrated experience with RPA utilizing Automation Anywhere (preferred), and potentially other coding including but not limited to Python, C++, C#, JavaScript, HTML, etc.
Added 12 days ago
System Hardware Engineering Tester
Natus
Oakville, ON
Hands-on experience with test automation tools and scripting languages.
Added 12 days ago
Senior Embedded Developer
Price Industries Limited
Winnipeg, MB
Experience with Python, JavaScript, RPA frameworks, or other software development automation tools.
Added 12 days ago
Embedded Designer
Price Industries Limited
Winnipeg, MB
Experience with Python, JavaScript, RPA frameworks, or other software development automation tools.
Added 12 days ago
LP
Digital Forensic Examiner
Lethbridge Police Service
Lethbridge, AB
- Full-time
…Section. The anticipated term end date is December 31, 2027 with the possibility of an extension beyond that…
Added 12 days ago
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Senior Software Development Engineer in Test
Trackforce
Montreal, QC
- Full-time
…management, we provide security companies and organizations with a streamlined solution to manage their guard forces, respond faster, operate more efficiently, and reduce costs - all while…

Canada Life

Senior Analyst, Data & Analytics

Winnipeg, MB, Canada

The base salary for this position is between $80,400- $130,400 annually. · Full-time

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Job details

Pay: The base salary for this position is between $80,400- $130,400 annually.
Job type: Full-time
Apply by: Oct 23, 2026
Experience: 5+ years of experience applying data, analytics, business analysis, or digital enablement practices to solve business problems and improve outcomes.
Posting language: English
Posted: Sep 23, 2026

Original job description

Permanent Full Time

The Senior Data Analyst leads analytical framing, experimentation, business analysis, value realization, stakeholder engagement, and solution delivery support for AI-enabled business initiatives, helping teams turn complex or ambiguous opportunities into practical, measurable outcomes.

Working closely with AI Enablement leads, Data Scientists, Data Engineers, business stakeholders, and technology teams, this role translates business opportunities into measurable AI use cases and guides the evaluation, implementation, and adoption of AI solutions through evidence-based analysis and recommendations.

The successful candidate combines strong analytical skills with business acumen, acts as a trusted analytics partner, and bridges technical and business stakeholders to help AI initiatives deliver practical, measurable value while supporting consistent and repeatable delivery practices.

What you will do:

Lead the translation of complex or ambiguous business opportunities into clear AI use cases, analytical questions, success measures, and measurable outcomes that can be tested and evaluated.
Own practical analytical approaches, including experiments, pilots, measurement frameworks, reporting, and interpretation, to assess whether AI-enabled solutions are delivering value.
Build confidence in AI solutions by guiding data collection, validation, testing, quality assurance, and performance monitoring activities.
Partner with Data Engineers and Data Scientists to identify source-system data, manage it through the data lifecycle, and develop analytical products that support AI-enabled solutions.
Turn analytical findings, business context, and evaluation results into clear recommendations that influence stakeholder decisions about AI opportunities, adoption, prioritization, and next steps.
Support adoption and repeatable delivery by developing workshops, training, job-aides, measurement practices, and other materials that help teams understand and apply AI solutions effectively.

What you will bring:

Required

Degree in Statistics, Mathematics, Analytics, Data Science, Economics, Business, Engineering, or an equivalent combination of education and experience.
5+ years of experience applying data, analytics, business analysis, or digital enablement practices to solve business problems and improve outcomes.
Experience translating business needs into analytical questions, success measures, requirements, and practical recommendations.
Experience designing or supporting experiments, pilots, performance measurement approaches, or value realization assessments.
Experience working with business stakeholders and technical partners to define requirements, interpret findings, and support implementation decisions.
Proficiency with analytics and reporting tools such as Power BI, SQL, or comparable platforms.
Working knowledge of data platforms, programming, or cloud-based analytics environments such as Azure, Databricks, Python, or comparable tools.
Experience working in Agile or iterative delivery environments.
Demonstrated ability to lead through influence, collaboration, and subject-matter credibility rather than formal authority.
Experience providing guidance, peer support, or informal coaching to analysts or multidisciplinary partners.
Strong stakeholder engagement, facilitation, and communication skills.
Ability to bridge technical and business audiences effectively.
Reliability Status Security Clearance – this can only be completed with candidates who receive an offer of employment. This is a personal security status that is required as a condition of employment before an employee can gain access to Protected B information, assets or work sites as outlined by the Government of Canada  website.  The cost of submitting these checks will be covered by Canada Life.

Preferred

Experience supporting AI, machine learning, generative AI, automation, or advanced analytics initiatives.
Exposure to AI governance, responsible AI, privacy, or data governance practices.
Experience supporting proof-of-concepts, pilots, or adoption activities for emerging technology solutions.
Strong foundation in research methods, measurement design, evaluation methodologies, or benefits realization.

The base salary for this position is between $80,400- $130,400 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Life

We’re united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.

We’re looking for people who live our values everyday: we step up, we do the right thing, and we deliver – for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you!

What we offer:

We’re committed to supporting our employees through every stage of their career. Here’s what you can expect as a full-time or part-time permanent team member:

Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to $2,000 annually towards education reimbursement.
Health & Wellness: Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.
Time Off: In addition to regular vacation and personal days, we support community involvement with a volunteer day. 
Financial Security: Company-matching pension plan, share ownership program and additional investment options.
Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!
Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.

Learn more about Canada Life.

We’re committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.

Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted.

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More about this job

Responsibilities

Translate complex business opportunities into measurable AI use cases, and lead analytical approaches such as experiments, pilots, reporting, and performance monitoring to evaluate outcomes. Partner with technical and business teams to develop analytical products, communicate evidence-based recommendations, and support AI adoption through training and repeatable delivery practices.

Requirements

Requires a degree in a relevant field or equivalent education and experience, along with at least five years applying analytics, business analysis, or digital enablement to business problems. Candidates should have experience with measurement or experimentation, stakeholder and technical collaboration, analytics tools such as SQL or Power BI, iterative delivery, and the ability to influence and communicate across technical and business audiences.

Skills

Data Analysis
Business Analysis
AI Use Case Development
Experiment Design
Performance Measurement
Value Realization
SQL
Power BI
Data Validation
Data Quality Assurance
Stakeholder Engagement
Requirements Gathering
Agile Delivery
Communication
Facilitation
Coaching

Benefits

Career Advancement Opportunities
Learning Programs
Education Reimbursement
Health Benefits
Dental Benefits
Mental Health Benefit
Vacation
Personal Days
Volunteer Day
Company-Matching Pension Plan
Share Ownership Program
Investment Options
Employee Recognition Programs
Employee Discounts
Employee Resource Groups
Mentorship Programs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Advanced Analytics
Business Analysis
Data Science
Data Engineering
SQL
Power BI
Azure
Databricks
Python
Cloud Analytics
Agile
Experimentation
Pilot Programs
Performance Measurement
Value Realization
Data Lifecycle
Data Validation
Quality Assurance
Performance Monitoring
AI Governance
Responsible AI
Privacy
Data Governance
Proof Of Concept
Research Methods
Benefits Realization
Reliability Status Security Clearance

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