Roles and Responsibilities:

Job Description for a Senior Retail Business Analyst – Data & AI/ML

Key Responsibilities
Business Requirements & Solution Design
Lead end-to-end business requirements gathering, stakeholder workshops, and
discovery sessions.
Translate complex retail business challenges into explicit, 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 prospects 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 lifecycle—from ideation to
deployment.

Required Skills & Experience

Technical & Analytical

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📌 Senior Business Analyst Bengaluru
🏢 Gate Gourmet Switzerland
📍 Bengaluru