Lead Data Analyst

**About us:** 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. **About the team:** 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 guest engagement, and improved marketing effectiveness. **About the role:** The Lead Data Analyst will serve as a strategic analytics partner for the Marketing Analytics team, applying data, reporting, advanced analytics, and AI-enabled solutions to solve complex business problems. This role will work independently and cross-functionally with business partners to translate ambiguous needs into scalable data solutions, deliver clear insights, and influence marketing strategy. The role requires strong analytical rigor, business acumen, data storytelling, hands-on experience with large-scale datasets, and the ability to design analytical solutions that support faster, smarter, and measurable decision-making. **Key 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 You:** • 8+ years of relevant work experience with a graduate BA/BS/B.Tech /B.E. or Master’s degree in Statistics, Econometrics, Mathematics, Data Science, Computer Science, or an equivalent field. • Strong proficiency in SQL, SQL optimization, and DW/BI concepts. • Hands-on experience with structured databases such as Teradata, Oracle, and Hive, as well as unstructured data environments including HDFS. • Proven experience working with large-scale datasets and building scalable analytical solutions. • Proficiency in BI visualization tools such as Power BI, Looker, Tableau, or similar platforms. • Hands-on experience with R, Python, Hive, or other open-source languages and database technologies. • Strong understanding of analytical techniques such as regression, time-series modeling, classification, segmentation, forecasting, and driver analysis. • Experience with Git source code management and agile delivery practices. • Strong problem-solving skills with a systematic, logical, and detail-oriented approach. • Ability to work independently, manage ambiguity, prioritize effectively, and deliver high-quality work in a fast-paced environment. • Strong communication, data storytelling, service orientation, and relationship-building skills. • Ability to think critically, mentor peers, share knowledge, and continuously improve analytical practices. • Experience in Retail, Marketing, Loyalty, Customer, or Merchandising Analytics is strongly preferred. • Ability to identify high-impact Generative AI opportunities and translate business problems into scalable AI-enabled solutions. • Experience driving adoption of AI-agent enabled or agentic AI capabilities to improve automation, analytics productivity, and enterprise decision-making. • Understanding of responsible and scalable AI adoption practices, including governance,risk considerations, data privacy, and integration with analytics ecosystems.. **Useful Links-** **Life at Target-** [**https://india.target.com/**](https://india.target.com/) **Benefits-** [**https://india.target.com/life-at-target/workplace/benefits**](https://india.target.com/life-at-target/workplace/benefits)