Lead Data Analyst

Target is hiring a Lead Data Analyst in Bangalore.

Responsibilities

• Partner with business leaders and cross-functional stakeholders to understand priorities, validate business requirements, and translate questions into analytical solutions.
• Analyze marketing performance, guest behavior, loyalty engagement, campaign effectiveness, personalization, audience strategy, and business impact.
• Query, manipulate, and analyze large-scale datasets using tools such as GCP BigQuery, Spark, SQL-based warehouses, and data pipelines.
• Apply analytical and statistical techniques to identify trends, measure business drivers, support test design, and inform strategic decisions.
• Design, develop, and deliver reporting, dashboards, decision-support models, and scalable analytical solutions.
• Build clear, executive-ready narratives that simplify complex analysis and enable stakeholders to act with confidence.
• Consult on and develop AI-enabled analytical solutions across Generative AI, AI agents,and agentic AI use cases.
• Evaluate AI-driven analytical workflows by defining quality metrics, assessing

reliability, and measuring business impact.

• Create and maintain documentation for analytical methodologies, assumptions, AI solution design, and project execution.
• Contribute to reusable knowledge assets, best practices, and iterative model development.
• Ensure compliance with corporate data protection standards and responsible AI practices, including privacy, bias mitigation, explainability, and governance.
• Stay current on industry trends, emerging methodologies, marketing measurement practices, and AI-enabled analytics capabilities.

About Target

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. The Marketing Analytics team empowers business leaders and partners with data-driven insights that enable faster, smarter, and more scalable decision-making. We collaborate closely with stakeholders to understand business priorities, translate complex data into actionable recommendations, and drive profitable growth, stronger g