# Lead Data Analyst at Target

Target is hiring a Lead Data Analyst in Bengaluru, India. Level rates it Works on AI ●●●○; you can [apply on Target](https://jobsbylevel.com/go/e2f0c73c-faaf-4208-a992-8ba40e0ac70a?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Bangalore,India.

## Details

- Company: [Target](https://jobsbylevel.com/companies/target)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Bangalore,India
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/e2f0c73c-faaf-4208-a992-8ba40e0ac70a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-data-analyst-at-target-5c1da4

## Prepare for this job

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## Description

About us: Working at Target means helping all families discover the joy of everyday life. About Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. At Target, we have a timeless purpose and a proven strategy. Some of the best minds from different backgrounds come together to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. Target in India operates as a fully integrated part of Target's global team and supports the company's global strategy and operations. About the team The IT Data Platform (ITDP) team enables data-driven management of Target's technology ecosystem by bringing together trusted data and insights across technology assets, software delivery, infrastructure, reliability, security, engineering effectiveness, and technology operations. The Analytics team within ITDP transforms this data into metrics, analytical products, dashboards, predictive insights, and decision-support capabilities that help technology teams understand what is happening, why it is happening, where risk may be emerging, and where action is needed. The team is building towards an analytics capability that progresses from descriptive and diagnostic analytics to predictive and prescriptive insights, using statistical methods, applied data science, and GenAI where each approach is appropriate. As a Lead Data Analyst for Target's IT Data Platform Analytics team you'll: Support Target Technology leadership with critical data analysis and intelligence that enables faster, smarter and more scalable decision-making across the technology ecosystem. Collaborate with senior stakeholders to understand priorities and roadmap, frame ambiguous problems, and turn technology data into analytical products, predictive capabilities, and AI-enabled solutions that achieve measurable outcomes. Demonstrated thought leadership in the application of data, analytics, data science, and AI to complex technology problems. Ability to work independently and with senior technology leaders to turn ambiguous problems into clear analytical questions, measurement frameworks, data solutions, models, and decision capabilities. Understand and articulate interfaces with Target Technology representatives, Product Managers, engineers, and other stakeholders to validate analytical requirements and present final results. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail, accuracy, and sound analytical judgment. Consult, design, develop, and deliver analytical solutions and AI (GenAI, Agent, Agentic) resulting in decision support, predictive insights, risk models, or reusable analytical capabilities. Expert in working with large-scale datasets using tools such as GCP BigQuery, Spark, or SQL-based warehouses and data pipelines using Airflow or similar tools. Practical experience to evaluate and monitor AI-driven analytical workflows, including defining quality metrics such as accuracy and relevance, assessing reliability, measuring business impact, and establishing appropriate evaluation practices. Lead the development and evolution of analytical frameworks such as Change Risk Score, predictive alerting, technology health signals, and other proactive intelligence capabilities, including methodology, validation, monitoring, and adoption. Connect signals across software delivery, applications, infrastructure, incidents, reliability, security, ownership, dependencies, and other technology domains to discover patterns and drivers that are not visible through isolated metrics. Develop expertise in technology domain context and cultivate trusted relationships with technology and product leaders; be a strong storyteller using

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