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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading Product Analytics functions, developing analytics strategies, and translating complex business questions into actionable insights. Proficient in data visualization, storytelling, and fostering collaboration across cross-functional teams.
Highest-signal resume keywords
Leadership Experience In AnalyticsData Visualization And StorytellingAnalytics Strategy DevelopmentUnderstanding Of Group Benefits BusinessBilingualism In English And French
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product AnalyticsData AnalysisExploratory AnalyticsAutomated ReportingSelf-Service Analytical CapabilitiesData Quality ManagementGovernance PrinciplesAI And Advanced Analytics FoundationsStrategic InsightsPerformance Measurement
Soft Skills
Coaching And DevelopmentExecutive CommunicationStakeholder ManagementCollaborationChange Management
Tools & Technologies
DashboardsBusiness Intelligence ToolsData Analytics TechnologiesData Ecosystem ManagementAnalytics Automation
Industry Keywords
Group BenefitsProduct DevelopmentPortfolio ManagementCustomer AdoptionData Protection
About the role
Key responsibilities & impact- Lead the Product Analytics function and team within Group Benefits
- Establish priorities and an analytics roadmap aligned with product and business strategies
- Coach and develop employees while fostering a collaborative, accountable and high-performing team
- Partner with Product, Distribution, Operations, Data and Technology leaders
- Translate strategic priorities and business questions into analytics, insights and recommendations
- Advance Product Analytics from traditional reporting toward proactive, insight-driven analytics
- Analyze product performance, customer needs, trends, opportunities and emerging issues
- Support decisions across product development, enhancements, portfolio management, customer adoption and ongoing performance
- Develop dashboards, recurring reporting, exploratory analytics, self-service capabilities and data products
- Enable data and analytics foundations for AI adoption and advanced analytics
- Support broader Group Benefits analytics priorities, including customer, member, sponsor, portfolio and operational analytics
- Frame complex or ambiguous questions, assess data, develop analytical approaches and provide actionable recommendations
- Strengthen data storytelling for Product partners, senior leaders and business stakeholders
- Drive consistency, efficiency, automation and reusable analytical capabilities
- Advance the analytics data ecosystem with Data and Technology teams
- Champion data quality, governance, privacy and data protection
- Define and monitor measures of business impact, stakeholder value, adoption and analytical effectiveness
- Assess emerging technologies and drive innovation and continuous improvement
- Represent Product Analytics in cross-functional product, data, technology and business initiatives
Requirements
What you’ll need- University degree in business, finance, analytics, technology, mathematics, engineering or another quantitative field
- Significant leadership experience within analytics, business intelligence, product analytics or a related data function
- Demonstrated experience leading teams through change and transformation
- Strong experience using data and analytics for product, customer or business decision-making
- Experience applying analytics to recurring reporting, exploratory analysis, strategic insights and scalable analytical solutions
- Strong understanding of the Group Benefits business and product landscape
- Experience developing and executing an analytics strategy and roadmap
- Experience partnering with Product and business teams to assess opportunities and influence strategic and tactical decisions
- Strong data visualization and storytelling skills
- Experience with modern analytics, business intelligence and data technologies, including dashboards, automated reporting and self-service analytical capabilities
- Understanding of data foundations required for AI and advanced analytics
- Strong understanding of data management principles, including data quality, governance, privacy and protection
- Ability to structure ambiguous business questions and translate data into recommendations and measurable outcomes
- Executive communication and stakeholder management skills
- Ability to operate across a complex, matrixed organization
- Bilingualism (English and French) is an asset; if the successful candidate is in Québec, proficiency in both languages will be required to support clients from various provinces outside of Quebec
Benefits
Comp & perks- Flexible work environment
- Learning and career growth opportunities
- Well-being and inclusion support
- Health insurance
- Dental insurance
- Mental health benefits
- Vision insurance
- Short- and long-term disability insurance
- Life and AD&D insurance
- Adoption/surrogacy benefits
- Wellness benefits
- Employee/family assistance plans
- Retirement savings plans
- Pension plan
- Global share ownership plan with employer matching contributions
- Financial education and counseling resources
- Paid holidays, vacation, personal, and sick days
- Statutory leaves of absence
- Reasonable accommodation during the application process