Senior Business Analyst - Retail & Ecommerce

Key Responsibilities

1. Business Requirements & Solution Design

• Lead end-to-end business requirements gathering, stakeholder workshops, and discovery sessions.
• Translate complex retail business challenges into clear, structured, and prioritized requirements.
• Design cutting-edge AI/ML and data-driven solutions across retail functions such as merchandising, Ecommerce, supply chain, marketing, store ops, pricing etc.
• Develop user journeys, process flows, data flows, and functional specifications.
• Partner with data architects, data engineers, and data scientists to shape scalable and feasible solutions.

2. Data Analysis & Data Quality Assessment

• Analyze large and complex retail datasets to uncover trends, patterns, and anomalies. Identify data quality issues, root causes, and potential business impacts.

3. AI/ML Use Case Identification & Value Realization

• Identify and evaluate high-impact AI/ML opportunities across retail (e.g., demand forecasting, recommendation engines, markdown optimization, inventory optimization, churn prediction).
• Create business case assessments by diagnosing process inefficiencies using data insights and operational assessments and recommend improvements by leveraging automation, AI, predictive analytics, and data-driven workflows
• Partner with data science teams to translate business needs into ML problem statements and success metrics.

5. Pre-Sales & Proposal Development

• Lead creation of client proposals, solution decks, RFP responses, and use case catalogs.
• Support sales teams with solutioning, effort estimation, and value proposition development.

6. Cross-Functional Collaboration

• Collaborate closely with technical teams, retail business stakeholders, PMO, UX designers, and leadership.
• Ensure alignment throughout the project lifecyclefrom ideation to deployment.

Required Skills & Experience

Technical & Analytical

• Strong proficiency in data analysis tools (Excel, SQL, Python basics preferred).
• Exposure to AI/ML concepts, model lifecycle, and data science workflows and ability to interpret ML outputs, KPIs, and performance metrics.
• Knowledge of cloud platforms (Azure, AWS, GCP) is a plus.

Retail Domain Expertise

• Deep understanding of end-to-end retail operations, including: Merchandising & Assortment Planning, Inventory & Supply Chain, Pricing & Promotions, Store Operations , Ecommerce, Customer Analytics & Omnichannel Journeys

Business & Consulting

• Exceptional requirements elicitation, documentation, and stakeholder management skills.
• Experience in designing data-driven and AI-enabled retail solutions.
• Strong presentation and storytelling skills for executive audiences.
• Ability to create proposal content, value narratives, and solution overviews.

Qualifications

• Bachelor’s or Master’s degree in Business, Data/Analytics, Engineering, or related field.
• 5-6 years of experience in Retail Consulting, Business Analysis, or Digital Transformation.
• Proven experience in AI/ML-led transformation programs is highly desirable
• Experience with mid to large Retailers in Europe or US

Preferred Attributes

• Strategic thinker with the ability to simplify complex concepts.
• Curious, innovative mindset with passion for using data & AI to transform businesses.
• Ability to work in fast-paced environments and manage multiple initiatives simultaneously
• Excellent communication skills with ability to engage with business stakeholders and internal teams