Lead Data Analyst (L6)

As a Lead Data Analyst for Targets Data Analytics teamyou'll:
Support our world-class leadership team at Target with critical data analysisthat helps Merch business team to make profitable decisions. Enable faster,smarter and more scalable decision-making to compete and win the modern retailmarket. Collaborate with stakeholders and understand their priorities/roadmapto achieve the business outcomes.

Key Responsibilities:

• Demonstrate thought leadership in theapplication of data, analytics, and AI to influence strategy and outcomes
• Independently translate ambiguous businessproblems into structured analytical approaches, including scenario, decision,and action modelling
• Partner with Target business stakeholders tounderstand priorities and roadmaps, validate analytical requirements, andpresent insights and recommendations with clarity and impact
• Design, develop, and deliver analytical andAI-driven solutions (including GenAI, Agent, and Agentic approaches) thatenable decision support, forecasting, optimization, and automation
• Apply advanced analytics techniques, includingcausal, predictive, and prescriptive analytics, to drive deeper understandingof business levers and inform optimal actions
• Work with large-scale datasets using platformssuch as GCP BigQuery, Spark, and SQL-based data warehouses; build and maintainreliable data pipelines using Airflow or similar orchestration tools
• Evaluate and monitor-driven analyticalworkflows, defining quality metrics (e.g., accuracy, relevance), assessingreliability, and measuring tangible business impact
• Synthesize complex analyses into compellingnarratives; act as a strong storyteller who can influence executive andmerchant audiences using data
• Develop strong business acumen and cultivatetrusted relationships with internal clients and partners
• Create high-quality analytical and AI solutionartifacts, documenting methodologies, assumptions, models, and decision logic
• Contribute to knowledge-sharing systems thatsupport reuse, iteration, and continuous improvement of analytical models andapproaches
• Ensure compliance with corporate data protectionstandards and embed responsible AI practices, including data privacy, biasmitigation, and explainability
• Stay current with industry trends, emergingmethodologies, and best practices in analytics, AI, and retail decision science.

About You:
Experience: 8-12years overall experience, including 6-8 years of relevant experience .