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Vuram
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Retail operations, merchandising analytics

Retail operations, merchandising analytics

Vuram

6 - 11 years

12 - 16 Lacs

Bengaluru

Posted:23 hours ago| Platform:

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Skills Required

Supply chain Analytical Process improvement Demand forecasting Merchandising Forecasting Analytics Inventory SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Support end-to-end merchandise planning and analytics covering selection, assortment, inventory, and planogram execution at store level

Conduct data-driven analysis on price, promotions, product mix, and replenishment to support merchandising strategy

Collaborate with category managers and suppliers on range planning and shelf allocation decisions

Assist in the implementation and support of AI/ML-based demand forecasting and recommendation systems

Perform store-level analytics to assess execution compliance, inventory health, and category performance

Leverage tools like Blue Yonder (JDA), Nielsen Spaceman for planogramming, space optimization, and shelf layout design

Assist in campaign readiness by coordinating in-store execution aligned to merchandising and inventory plans

Participate in process improvement initiatives to enhance replenishment, store display, and floor planning strategies

Contribute to the development of campaign calendars, marketing execution timelines, and regional rollout coordination

Support ROI analysis of marketing efforts and store-level campaign effectiveness

Monitor KPIs including planogram compliance, stock availability, store sales conversion, and assortment accuracy

Prepare dashboards and reports to enable data-informed decisions for business stakeholders

Must Have:

6+ years of experience in retail operations, merchandising analytics, or marketing execution within large-scale retailers or CPG companies

Hands-on experience in category management, assortment planning, inventory forecasting, and store analytics

Practical working knowledge of Blue Yonder Suite (especially Space & Category modules), Nielsen Spaceman, and SQL

Basic proficiency in Power BI and exposure to Python for analytical insights

Strong understanding of retail KPIs, planogram execution, and stock-to-shelf performance metrics

Excellent communication and stakeholder coordination skills

Ability to work independently on merchandising initiatives while collaborating cross-functionally with supply chain, marketing, and store operations

Excellent communication, program management, and stakeholder alignment capabilities

Strong business acumen and ability to balance strategic planning with hands-on execution

Qualifications

MBA from Tier 1 institutions Preferred

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Retail operations, merchandising analytics