Lead Data Analyst (L6)

Target; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Target is seeking a Lead Data Analyst to empower its Merch team with data-driven decisions across the modern retail landscape. You will partner with leadership to translate complex analytics into actionable insights that drive profitability and growth.

You will design AI-driven analytics solutions, build scalable data pipelines, and mentor junior analysts while ensuring data quality and governance in a fast-paced environment.

Qualifications

• 8-12 years of overall experience with 6-8 years in relevant analytics roles.

Responsibilities

• Demonstrate thought leadership in data, analytics, and AI to influence strategy and outcomes.
• Translate ambiguous business problems into structured analytical approaches and modelling.
• Partner with stakeholders to understand priorities, validate requirements, and present insights with impact.
• Design, develop, and deliver analytical and AI-driven solutions enabling decision support, forecasting, optimization, and automation.
• Apply advanced analytics (causal, predictive, prescriptive) to inform actions and business levers.
• Build and maintain data pipelines using platforms like BigQuery, Spark, and SQL data warehouses; use Airflow or similar tools.
• Define quality metrics, monitor workflows, and measure tangible business impact.

Skills

Data analysis

AI/GenAI

Stakeholder collaboration

Data storytelling

Data governance

Tools

BigQuery

Spark

SQL

Airflow

Job description

As a Lead Data Analyst for Targets Data Analytics team you'll: Support our world-class leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to 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 to understand 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 understanding of 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 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.

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