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Strong employer brand, metro Bengaluru location, and a generalist data analytics lead role increase competition.
Medium because core analytics skills transfer across industries, but retail domain and AI experience increase specificity.
Medium due to specific technical requirements (BigQuery, Spark, SQL, Airflow, AI) but no explicit years filter.
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Lead data-driven analytics and AI solutions across merchandising and related business domains to influence strategy and optimize decision-making.
Transform complex, ambiguous business problems into structured analytical models and deliver insights through advanced statistical, causal, predictive, and prescriptive analytics techniques.
Develop, maintain and evaluate AI-driven analytical workflows and data pipelines using platforms like GCP BigQuery, Spark, SQL, and orchestration tools such as Airflow, ensuring measurable business impact and compliance with data privacy and responsible AI standards.
Experience required: Not explicitly mentioned in the JD.
Mandatory skills: Advanced analytics including causal, predictive, prescriptive analytics; proficiency with large-scale data platforms (GCP BigQuery, Spark, SQL); data pipeline orchestration tools (Airflow or similar); AI-driven analytics and solution development.
Domain: Experience in retail business analytics, particularly merchandising and supply chain analytics preferred but not explicitly mandatory.
Compliance: Knowledge of data protection standards and responsible AI practices including privacy, bias mitigation, and explainability.
Demonstrated ability to operate at the intersection of technical analytics and business strategy, independently translating ambiguous problems into structured analytical models.
Experienced in working with executive and merchant-facing stakeholders to present data-driven recommendations clearly and persuasively.
Hands-on expertise with AI-driven analytics development and evaluation, capable of maintaining robust data workflows and ensuring continuous business value delivery.