Retail domain must HAVE
Title: Business Analyst with recent Retail domain must
HAVE
Location: Hybrid at NYC, NY
Role Summary
Experienced Business Analyst with strong retail domain knowledge to drive requirements, process improvement, and solution design for digital transformation, data platforms, analytics, and AI initiatives. Bridges retail business stakeholders and technical teams to deliver measurable outcomes in omnichannel, merchandising, inventory, pricing, and customer experience.
Key Responsibilities
Partner with retail stakeholders (Merchandising, Supply Chain, Marketing, E-commerce, Stores, Finance) to capture business needs, pain points, and opportunities.
Elicit, analyze, document, and prioritize requirements using workshops, user stories, process maps, and structured templates.
Analyze current-state processes, identify gaps, and design optimized future-state solutions with clear KPIs and business rules.
Translate requirements into specifications for retail systems (POS, ERP, WMS, OMS, CRM) and data/analytics/AI solutions (forecasting, personalization, dynamic pricing, inventory optimization).
Collaborate with Data Engineers, Architects, and Developers to ensure solutions deliver business value and ROI.
Support Agile delivery — backlog grooming, user stories, acceptance criteria, UAT coordination, and change management.
Create data-driven insights, validate requirements, and measure post-implementation impact.
Must-Have
5+ years BA experience with **minimum 3 years in Retail / CPG / E-commerce**.
Proven delivery of transformation projects in retail operations, merchandising, supply chain, or customer experience.
Strong stakeholder management, facilitation, and documentation skills.
Experience in Agile/hybrid environments (Jira, Confluence, etc.).
Bachelor’s degree in Business, Information Systems, or related field.
Key Skills
Retail Domain: Omnichannel, merchandising & assortment, inventory & supply chain, pricing & promotions, customer analytics, loyalty/CRM.
Soft Skills: Excellent communication, analytical thinking, stakeholder influence, and ability to simplify complex requirements.
Preferred
Exposure to AI/ML retail use cases (demand forecasting, personalization, dynamic pricing, fraud detection).
Familiarity with retail systems (SAP Retail, Oracle Retail/Xstore, Manhattan Associates, or equivalent).
Experience with data platforms, analytics projects, or consulting delivery.
|
Arjun
BHATT |
E: arjun.b@noviainfotech.com M: (972) 961 2004 Linkedin: linkedin.com/in/arjun-bhatt-3a86001b5 |
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