Lead Associate - Pricing

As a Lead Associate – Pricing, you will sit at the intersection of data science, finance, and marketing. You aren’t just "crunching numbers"—you are the architect of pricing strategies that drive both top-line revenue growth and bottom-line profitability. In this role, you will lead a small team of analysts to navigate the fast-paced e-commerce landscape through competitive benchmarking, promotional elasticity modeling, and dynamic price adjustments.

Key Responsibilities

Strategy & Architecture: Design, implement, and refine dynamic pricing strategies across diverse categories to optimize margin, conversion rates, and gross merchandise value (GMV). Team Leadership: Mentor and lead a team of business analysts, ensuring data accuracy, project delivery, and aligned analytical frameworks. Competitive Benchmarking: Monitor market trends, competitor pricing models, and consumer buying behaviors to proactively adjust pricing structures. Promotional & Elasticity Modeling: Analyze price sensitivity, discount effectiveness, and promotional ROI to design high-impact sales events and campaigns. Cross-Functional Collaboration: Partner closely with Supply Chain, Marketing, Category Management, and Data Science teams to align pricing initiatives with broader business goals. Dashboarding & Performance Tracking: Build and manage automated dashboards to track key pricing KPIs, profit margins, and inventory turn rates. Required Qualifications & Experience Education: Bachelor’s degree in Engineering (B.Tech), Economics, Statistics, Finance, or a related quantitative field. Experience: 2 to 4 years of relevant experience in pricing, financial analysis, business analytics, or revenue management (preferably within e-commerce, retail, or tech). Leadership Potential: Prior experience managing or mentoring junior analysts or project streams is highly desirable. Technical & Core Skills Data Querying & Analytics: Strong hands-on proficiency in SQL for extracting and manipulating complex datasets. Advanced Excel: Expertise in advanced functions, financial/pricing modeling, and data manipulation. Domain Expertise: In-depth understanding of pricing economics, dynamic pricing algorithms, margin management, and promotional modeling. Problem Solving & Communication: Strong business acumen with the ability to translate complex data into actionable strategic insights for senior leadership.