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Added 7 mins ago
Manager, Finance – Insurance Services
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Full-time
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Added 37 mins ago
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Analyst, Retail
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As an Analyst, working with a team environment, you will assist in providing analytical insights to NielsenIQ's Retailer clients through the preparation of data summaries and special…
Added 3 hours ago
Analyst, Retail
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As an Analyst, working with a team environment, you will assist in providing analytical insights to NielsenIQ's Retailer clients through the preparation of data summaries and special…
Added 3 hours ago
Analyste livraison aux clients détaillants - Analyst - Retail
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Full-time
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Added 5 hours ago
Senior Analyst, Data & Analytics (12 Month Contract)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
The Senior Data Analyst leads analytical framing, experimentation, business analysis, value realization, stakeholder engagement, and solution delivery support for AI-enabled business…
Added 5 hours ago
Senior Analyst, Data & Analytics
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
The Senior Data Analyst leads analytical framing, experimentation, business analysis, value realization, stakeholder engagement, and solution delivery support for AI-enabled business…

Canada Life

Senior Analyst, Data & Analytics

Toronto, ON, Canada

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

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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, plus at least five years applying analytics, business analysis, or digital enablement to business problems. Candidates should have experience with measurement and experimentation, stakeholder collaboration, analytics tools such as Power BI or SQL, data platforms or programming, Agile delivery, and influencing and coaching across teams.

Skills

Data Analytics
Business Analysis
AI Use Case Development
Experiment Design
Value Realization
Performance Measurement
Data Validation
Quality Assurance
Stakeholder Engagement
Requirements Gathering
Power BI
SQL
Azure
Databricks
Python
Agile Delivery

Benefits

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 Analytics
Data Science
Data Engineering
Power BI
SQL
Azure
Databricks
Python
Experiments
Pilots
Performance Measurement
Value Realization
Data Validation
Quality Assurance
Performance Monitoring
Data Lifecycle
Analytical Products
AI Governance
Responsible AI
Privacy
Data Governance
Proof Of Concept
Agile
Stakeholder Engagement
Benefits Realization

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