Strategic Leadership: Lead and set the strategic direction for analytics and insights across key business areas—customer, merchandising, inventory, and design. Partner closely with cross-functional teams to drive business outcomes through data-driven decision-making.
Data Storytelling: Develop compelling data narratives that translate complex data into clear, actionable recommendations for senior leadership, providing insights that support business growth and innovation.
Insights-Driven Strategy: Use data and analytics to provide thought leadership and strategic direction. Guide the organization’s approach to leveraging customer, market, and operational data to drive business impact and competitive advantage.
Actionable Recommendations: Lead teams in generating business-critical insights, identifying trends, and making data-backed recommendations to improve customer experience, optimize merchandising strategies, streamline inventory management, and enhance product design.
Cross-functional Collaboration: Collaborate with senior leadership, business units, and product teams to ensure alignment of insights and analytics with overall company strategy. Build strong partnerships across product, engineering, marketing, and finance teams to influence decision-making.
Innovation and Best Practices: Stay at the forefront of industry trends and emerging analytics methodologies to continuously evolve the company's analytics capabilities. Introduce best practices in data analytics, AI, machine learning, and data science to solve business challenges.
Team Leadership: Lead, mentor, and grow a high-performing team of analysts, data scientists, and insight professionals. Foster a culture of curiosity, data literacy, and continuous learning across the organization.
Proven experience in a senior leadership role driving business strategy through data and insights, ideally within retail, consumer goods, or e-commerce.
Strong experience in data storytelling, with the ability to present complex insights in a clear and impactful manner to executive teams.
Expertise in customer analytics, merchandising, inventory, or product design insights.
Strong strategic thinker with the ability to turn data into actionable business outcomes.
Deep understanding of advanced analytics, predictive modeling, and business intelligence tools (e.g., SQL, Python, R, Tableau, PowerBI).
Excellent leadership, communication, and collaboration skills with a track record of leading large, cross-functional teams.
Bachelor’s or Master’s degree in Data Science, Business Analytics, Economics, or a related field.
MBA or advanced degree in a related field.
Experience in driving organizational transformation through data and insights.
Strong familiarity with retail analytics and trends impacting consumer behavior.
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