Lead Data Analyst

Key Responsibilities

•  Demonstrate thought leadership in the application of data, analytics, and AI to
• influence merchandising strategy and outcomes
•  Independently translate ambiguous business problems into structured analytical
• approaches, including scenario, decision, and action modelling
•  Partner with Target business stakeholders to understand priorities and roadmaps,
• validate analytical requirements, and present insights and recommendations with
• clarity and impact
•  Design, develop, and deliver analytical and AI-driven solutions (including GenAI,
• Agent, and Agentic approaches) that enable decision support, forecasting,
• optimization, and automation
•  Apply advanced analytics techniques, including causal, predictive, and prescriptive
• analytics, to drive deeper understanding of business levers and inform optimal
• actions
•  Work with large-scale datasets using platforms such as GCP BigQuery, Spark, and
• SQL-based data warehouses; build and maintain reliable data pipelines using Airflow
• or similar orchestration tools
•  Evaluate and monitor AI-driven analytical workflows, defining quality metrics (e.g.,
• accuracy, relevance), assessing reliability, and measuring tangible business impact
•  Synthesize complex analyses into compelling narratives; act as a strong storyteller
• who can influence executive and merchant audiences using data
•  Develop strong business acumen and cultivate trusted relationships with internal
• clients and partners
•  Create high-quality analytical and AI solution artifacts, documenting methodologies,
• assumptions, models, and decision logic
•  Contribute to knowledge-sharing systems that support reuse, iteration, and
• continuous improvement of analytical models and approaches
•  Ensure compliance with corporate data protection standards and embed responsible
• AI practices, including data privacy, bias mitigation, and explainability
•  Stay current with industry trends, emerging methodologies, and best practices in
• analytics, AI, and retail decision science