Manager, Performance Intelligence

Role overview

Performance leadership and analysis

• Own performance priorities, routines, KPIs, targets, benchmarks, and operating-review narratives.
• Connect operating drivers, financial outlook, customer evidence, risks, and actions; identify emerging gaps and trends.
• Lead commercially material and ambiguous analyses; build models and use SQL, BI, and quantitative methods to investigate performance.
• Evaluate customer, member, vendor, product, and operating trade-offs and prepare decision-ready presentations.

Analytics strategy and improvement

• Own analytics intake governance, prioritization, capacity, standards, and the Marketplace analytics roadmap.
• Define data and technology needs and strengthen data access, quality, definitions, documentation, instrumentation, and ownership.
• Prioritize automation, reusable analytics products, and self-service; build metric literacy and measure adoption and impact.
• Translate findings into owned improvement opportunities, align accountable owners, and assess measured outcomes.
• Lead, coach, and develop analytics talent and establish practices for review, documentation, knowledge sharing, and development.

Experience and qualifications

• At least 7 years in commercial analytics, business performance, eCommerce, retail, or a related environment.
• Bachelor’s degree in a quantitative, business, or related field, or equivalent practical experience.
• Experience leading analysts or cross-disciplinary teams, including coaching, performance management, and development.
• Ability to structure complex analyses amid ambiguity; strong SQL and BI fluency and ability to review analytical logic.
• Financial and commercial fluency, KPI and analytics standards experience, and ability to influence cross-functional partners.
• Strong written, verbal, and presentation skills, including experience advising senior executives.
• Rewards, recognition, loyalty, incentives, marketplace, or global catalogue experience is an asset.
• Familiarity with Tableau, Power BI, Salesforce, Amplitude, R, Python, or Microsoft Power Platform is listed; statistical methods, predictive modelling, experimentation, and AI-enabled analytics are also relevant.

Work arrangement

• Hybrid flexibility with time in the company’s Liberty Village, Toronto office.

Compensation

• The stated compensation range is $119,000–$145,000; the description does not specify its pay cadence.
• Benefits and perks are described for permanent full-time employees.

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