Merchandising Analytics

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We're committed to bringing passion and customer focus to the business.

Experience: 12 – 15 Years
Location: India
Industry: Retail
Function: Merchandising Analytics
Employment Type: Full-time
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About the Role
We are seeking a seasoned Merchandising Analytics expert with a deep understanding of retail and merchandising, combined with strong pre-sales, consulting, and solutioning skills. This individual will play a key role in shaping client strategy and winning business through compelling analytics-led merchandising solutions.
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Key Responsibilities Categorized by Capability Area
1. Strategic Advisory
•    Act as a trusted advisor to clients by translating merchandising and category challenges into data-driven strategies.
•    Lead client discovery workshops, assess current-state analytics maturity, and develop transformation roadmaps.
•    Advise retailers on AI/ML use cases for pricing, assortment, inventory, and promotion optimization.
•    Share thought leadership via industry forums, whitepapers, and client presentations.
2. Business Development
•    Support the sales team in qualifying leads, understanding client pain points, and positioning analytics solutions effectively.
•    Own the solution design during RFP/RFI responses and client proposals.
•    Build strong client relationships, influence buying decisions, and drive revenue growth in merchandising analytics offerings.
•    Develop business cases and ROI models to help clients quantify the value of proposed solutions.
3. Product Management
•    Liaise between clients and product teams to align product capabilities with market needs.
•    Provide inputs into product roadmaps, based on emerging trends and customer feedback.
•    Conceptualize new analytics modules (e.g., markdown simulator, OTB optimizer) tailored to merchandising use cases.
•    Create user stories and functional requirements for enhancements and demo assets.
4. Solutioning Expertise
•    Design end-to-end analytics solutions for merchandising use cases: assortment optimization, price elasticity, inventory planning, etc.
•    Build and present proof-of-concepts, demos, and visualizations using tools like Power BI/Tableau.
•    Collaborate with data science and engineering teams to validate feasibility and scalability of proposed solutions.
•    Ensure seamless handover to delivery teams with clear documentation and expectations.
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Required Qualifications
•    Experience: 10+ years in the retail domain, with at least 3–5 years focused on merchandising (buying, planning, category management, etc.).
•    Strong domain expertise across retail KPIs, merchandising workflows, and the impact of analytics on product, price, promotion, and placement.
•    Demonstrated success in a pre-sales, consulting, or solution architect role for retail clients.
•    Proficient in storytelling and stakeholder engagement, with the ability to communicate complex analytics solutions to non-technical audiences.
•    Experience working with global retailers or in an omnichannel retail environment is highly desirable.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!