Retail Business Analyst

Overview

The Retail Business Analyst is a key strategic partner to leadership — transforming complex retail data into actionable insights that shape pricing, promotions, loyalty strategies, and long-term business performance. This role goes beyond reporting: it proactively identifies growth opportunities, builds predictive models, and guides strategic decisions that drive revenue, profitability, and customer engagement.

• Lead pricing analysis and strategy development, including elasticity modeling, margin impact assessments, and competitive benchmarking.
• Build advanced “what-if” scenarios and profitability models to guide executive decision-making.
• Partner with merchandising and finance leaders to design pricing architectures that balance competitiveness with margin goals.

• Conduct in-depth analysis of promotional campaigns to evaluate ROI, incremental lift, and long-term customer impact.
• Develop frameworks and tools to forecast promotional performance and guide investment decisions.
• Advise leadership on promotion cadence, depth, and structure to maximize revenue and profitability across categories.

• Lead analytics on loyalty program performance, including member segmentation, retention modeling, and lifetime value forecasting.
• Identify customer behavior patterns and high-value segments to inform personalized offers and targeted campaigns.
• Partner with marketing and product teams to design data-driven loyalty strategies that deepen engagement and drive repeat traffic.
• Design and maintain executive-level dashboards, KPI scorecards, and self-serve analytics tools that support strategic decision-making.
• Translate complex data sets into clear, compelling narratives tailored for senior leadership and board-level audiences.
• Act as a trusted advisor to cross-functional leaders, guiding decisions across pricing, merchandising, promotions, and loyalty.
• Mentor junior analysts, establish best practices, and help evolve the organization’s analytics capabilities.

• 5+ years of experience in retail analytics, pricing strategy, or business intelligence, with proven impact on strategic decision-making.
• Advanced proficiency in data analysis and visualization tools (Excel, Power BI, Tableau) and strong SQL skills (Python/R a plus).
• Experience with predictive modeling, segmentation, and advanced analytics techniques.
• Exceptional communication, presentation, and storytelling skills with the ability to influence senior leadership.
• Strong business acumen and a strategic mindset, with the ability to connect analytics to commercial outcomes.

• Experience developing or supporting loyalty programs and customer segmentation initiatives.
• Familiarity with merchandising systems, POS data, and retail KPIs.
• Demonstrated ability to manage high-impact projects and deliver insights in a fast-paced, growth-oriented environment