Retail Business Analyst- BI

Digital Dhara LLC
New York, NY, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Data Analysis Confluence JIRA Information Systems Fraud Prevention and Detection Oracle (Applications) Data Management

Job 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.

Requirements

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.

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