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# Retail Business Analyst- BI

- **Company:** Digital Dhara LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Confluence, JIRA, Information Systems, Fraud Prevention and Detection, Oracle (Applications), Data Management
- **Published:** June 30, 2026
- **Apply:** https://www.dice.com/job-detail/07663968-f425-4fb9-8c05-aba7baa74aa5

## About the Role

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.

## Description

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.


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