Senior Retail Business Analyst Data & AI/ML (Retail & CPG Domain)
Domain Expertise : Retail/CPG/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.
- 812+ 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
