Senior Analyst, Data & Analytics

The SeniorData Analystleads analytical framing experimentation business analysis value realization stakeholder engagement and solution delivery supportfor AI-enabled business initiatives helpingteams turncomplex or ambiguousopportunities 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 ambiguousbusiness opportunities into clear AI use cases analytical questionssuccess measuresand measurable outcomes that can be tested and evaluated.

• Ownpractical analytical approaches including experiments pilots measurement frameworks reporting and interpretation to assess whether AI-enabled solutions are delivering value.

• Build confidence in AI solutions byguidingdata collection validation testing quality assurance and performance monitoring activities.

• Partner with Data Engineers and Data Scientists toidentifysource-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 thatinfluence stakeholderdecisions about AI opportunities adoptionprioritizationand next steps.

• Support adoptionand repeatable deliveryby developing workshops training job-aidesmeasurement practicesand other materials that help teams understand and apply AI solutions effectively.

What you will bring:

• 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.

• Proficiencywith 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 theGovernment of Canadawebsite. The cost ofsubmittingthese 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 foundationin research methods measurement design evaluation methodologies or benefits realization.