Senior Analyst, Data & Analytics

Canada Life; London; On-site; CAD 80,000 - 130,000; Full time

Benefits offered by this job

Career development

Health benefits

Volunteer day

Pension plan

Employee discounts

Mentorship program

Job summary

Canada Life is seeking a Senior Data Analyst to shape analytical framing for AI-enabled initiatives. You will partner with AI Enablement leads, data scientists, engineers, and business stakeholders to translate opportunities into measurable use cases and drive evidence-based decisions.

The role emphasizes data-driven value realization, stakeholder engagement, and repeatable delivery practices across analytics and AI implementations.

Qualifications

• Degree in Statistics, Mathematics, Analytics, Data Science, Economics, Business, Engineering, or equivalent
• 5+ years applying data/analytics to solve business problems and improve outcomes
• Translate business needs into analytical questions, success measures, and recommendations
• Design or support experiments, pilots, and value realization assessments
• Collaborate with stakeholders and technical partners to define requirements and support implementation
• Proficiency with analytics/reporting tools (Power BI, SQL) and cloud-based analytics (Azure, Databricks, Python)
• Experience in Agile/iterative delivery
• Ability to lead through influence and guidance to analysts
• Strong stakeholder engagement and communication skills
• Security clearance eligibility requirement (Canada Life)

Responsibilities

• Lead translation of opportunities into AI use cases, success measures, and outcomes
• Own analytical approaches including experiments, pilots, and measurement frameworks
• Guide data collection, testing, and performance monitoring of AI solutions
• Collaborate with Data Engineers/Scientists to identify data sources and develop analytical products
• Turn findings into clear recommendations for AI opportunities, adoption, and prioritization
• Develop workshops, training, and materials to support AI adoption and repeatable delivery

Skills

Stakeholder engagement

Communication

Analytical thinking

Agile delivery

Influence without authority

Data storytelling

Education

Bachelor's degree in Statistics, Mathematics, Analytics, Data Science, Economics, Business, Engineering

Tools

Power BI

SQL

Azure

Databricks

Python

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 additionalinvestment 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 [e-mail]. 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.