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Tier-1 brand, metro location, popular data role with broad technical and AI requirements increases competition.
Analytics and AI skills are transferable across industries, though retail domain knowledge is advantageous.
Specific analytics stack and AI expertise required, but no explicit years, so moderate shortlisting strictness.
Lead the application of advanced analytics, AI-driven solutions, and causal/predictive/prescriptive techniques to inform merchandising strategy and business decisions.
Translate ambiguous business problems into structured analytical models and deliver actionable insights to executive and merchant stakeholders.
Design, develop, and maintain scalable analytical workflows and data pipelines using platforms like GCP BigQuery, Spark, SQL, and Airflow while ensuring data governance and responsible AI.
Experience in advanced analytics including causal, predictive, and prescriptive techniques with AI-driven solution development.
Proficiency with large-scale data platforms such as GCP BigQuery, Spark, SQL-based data warehouses, and orchestration tools like Airflow.
Ability to communicate complex analyses clearly to business stakeholders including executives and merchants.
Work Experience Required: Not explicitly mentioned in the JD
Strong strategic and operational understanding of applying data analytics and AI to influence merchandising and retail business outcomes.
Experience bridging technical data capabilities with business imperatives, able to translate ambiguous problems into structured data solutions.
Demonstrated ability to work cross-functionally with business leaders and influence decision-making through data storytelling and actionable insights.