Senior Data Analyst

Role Overview

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.

What You Will Do

Support Target Technology leaders and teams with critical data analysis and insights that enable faster, smarter and more scalable decisions across Target’s technology ecosystem.

Why It Might Be a Fit

The team is building toward 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.

Requirements

• 5-8 years of experience
• B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent
• Extensive exposure to Structured Query Language (SQL), SQL optimization, data warehousing, and BI concepts.
• Proven hands-on experience in BI visualization tools (i.e. Looker, Power BI, Tableau) with ability to learn additional vendor and proprietary visualization tools.
• Strong knowledge of structured and unstructured data stores and extensive hands-on experience working with large, complex datasets.
• Hands-on experience in Python, R, or other open-source languages and analytical environments
• Hands-on experience with advanced analytical techniques such as Regression, Time-series models, Classification, Forecasting, Anomaly Detection, or similar methods, with conceptual understanding of when to apply each technique.
• Git source code management and experience working in an agile environment.
• Strong attention to detail with excellent diagnostic, analytical, and problem-solving skills; ability to work through ambiguous technology problems using structured thinking.
• Highly self-motivated with a strong sense of urgency and ability to work independently and in team settings in a fast-paced environment.
• Competent and curious to ask questions, learn quickly, fill gaps in domain knowledge, and share knowledge with others.
• Excellent communication, service orientation, storytelling, and relationship-building skills, with ability to translate complex analytical findings to technical and non-technical audiences.
• Experience working with technology, software engineering, infrastructure, reliability, cybersecurity, cloud, or other IT-related data will be a strong addon.
• Hands-on experience leveraging Generative AI (GenAI) and LLM-based solutions (e.g. prompt engineering, RAG, structured outputs, embeddings) to enhance data analysis, automate insight generation, and support decision-making.
• Ability to integrate AI-driven tools and AI-agent workflows into end-to-end analytical processes, enabling automation, improving productivity, and scaling analytics use cases.

Benefits

• Dental insurance
• Vision insurance
• Life at Target- https://india.target.com/
• Benefits- https://india.target.com/life-at-target/workplace/benefits

Tagged as: Data Analysis