Manager, Analytics Consulting – Retail, CPG

This is a fully remote position, open to applicants in Canada.

📋 Description

• Collaborate with Retail/CPG business leaders to grasp objectives, business drivers, and essential decisions.

• Manage several concurrent value streams and propel initiatives from inception to completion, ensuring value is realized.

• Break down ambiguous business challenges into clear hypotheses, analyses, and decision-making frameworks.

• Perform in-depth analysis to uncover trends, opportunities, performance gaps, and critical bottlenecks, converting insights into actionable recommendations.

• Provide executive and operational decision support through data-informed analysis, planning, and performance insights.

• Identify and prioritize impactful interventions across Pricing, Supply Chain, Sales & Marketing, and Forecasting.

• Discover opportunities to develop and improve Decision Support Systems (DSS), analytics solutions, and data products in collaboration with product, analytics, and technology teams.

• Utilize GenAI, Agentic AI, analytics, and low-code/no-code tools to quickly prototype solutions and enhance decision-making processes.

• Coordinate cross-functional teams, including data scientists, engineers, domain experts, product teams, and AI specialists.

• Present insights and recommendations to senior stakeholders, fostering alignment towards measurable business results.

• Monitor delivery progress, business impact, risks, and dependencies across various value streams.

• Investigate emerging AI and technological advancements, identifying ways to apply them to business challenges.

⛳️ Requirements

• 10–15 years of experience in business analytics, strategy/management consulting, commercial analytics, operations, supply chain, finance, marketing/customer analytics, product management, or other decision-focused business roles.

• Extensive experience in the Retail/CPG sector.

• A strong business-oriented consulting and problem-solving approach, with a track record of direct collaboration with business leaders.

• Comprehensive understanding of retail functions such as Pricing, Supply Chain, Sales & Marketing, and Forecasting.

• Proven capability to transition from business questions to hypotheses, analyses, insights, and recommendations/actions.

• Solid experience in managing multiple workstreams and leading initiatives through their complete lifecycle.

• Excellent stakeholder management and executive communication abilities.

• Practical experience with SQL, BI/visualization tools, and/or Python, alongside a robust analytical aptitude.

• Experience in identifying business opportunities, prioritizing interventions, and converting analytics into quantifiable outcomes.

• Interest or practical exposure to GenAI, AI agents, automation, or other emerging technologies.

• Capability to thrive in ambiguous, fast-paced environments while swiftly learning and applying new technologies.

🏝️ Benefits

• Significant opportunity for career development.

• A dynamic, fast-growing, and challenging entrepreneurial environment.

• High level of individual responsibility.

• Commitment to equal employment opportunities.