Sr Data Analyst

Overview

Support Target's leadership team with critical data analysis that helps the business make profitable decisions, enabling faster, smarter and more scalable decision-making in the modern retail market.

What you'll do

• Translate business problems into well-defined analytical questions and structured approaches
• Support scenario, decision, and action modelling to evaluate business trade-offs and inform recommended actions
• Partner with Target business stakeholders to understand priorities and roadmaps, validate analytical requirements, and present insights and recommendations with clarity and impact
• Develop and deliver analytical and AI-driven solutions (including GenAI, Agent, and Agentic approaches) that enable decision support, forecasting, optimization, and automation
• Apply advanced analytics techniques, including causal, predictive, and prescriptive analytics, to drive deeper understanding of business levers and inform optimal actions
• Work with large-scale datasets using platforms such as GCP BigQuery, Spark, and SQL-based data warehouses; build and maintain reliable data pipelines using Airflow or similar orchestration tools
• Contribute to AI-driven analytical workflows, defining quality metrics (e.g., accuracy, relevance), assessing reliability, and measuring tangible business impact
• Ensure analytical outputs are accurate, scalable, and aligned with business context
• Develop strong data storytelling skills to communicate insights and recommendations to non-technical audiences
• Document analytical methodologies, assumptions, and outputs to support reuse and knowledge sharing
• Adhere to corporate data protection standards and responsible AI practices

What you'll need

• 5-8 years overall experience, with 3-5 years of relevant experience
• B.Tech / B.E. or Masters in Statistics, Econometrics or Mathematics, or equivalent (India); BA/BS in a quantitative degree (Math, Statistics, Econometrics, Data Sciences, Computer Science) or equivalent work experience (US)
• Extensive exposure to Structured Query Language (SQL), SQL optimization and DW/BI concepts
• Proven hands-on experience in a BI visualization tool (e.g., Power BI, Looker, Tableau), with ability to learn additional vendor and proprietary visualization tools
• Strong knowledge of structured (e.g., Teradata, Oracle, Hive) and unstructured databases, including Hadoop Distributed File System (HDFS)
• Exposure and extensive hands-on work with large data sets
• Hands-on experience in R, Python, Hive or other open-source languages/databases
• Hands-on experience in advanced analytical techniques such as regression, time-series models and classification techniques, and conceptual understanding of these techniques
• Git source code management and experience working in an agile environment
• Strong attention to detail, excellent diagnostic and problem-solving skills
• Highly self-motivated with a strong sense of urgency; able to work both independently and in team settings in a fast-paced environment and manage urgent timelines
• Competent and curious, willing to ask questions, learn to fill gaps, and both teach and learn
• Excellent communication, service orientation and strong relationship-building skills
• Hands-on experience leveraging Generative AI and LLM-based solutions (e.g., prompt engineering, Retrieval-Augmented Generation) to enhance data analysis, automate insight generation and support business decision-making
• Ability to integrate AI-driven tools and AI-agent workflows into end-to-end analytical processes, enabling automation and scaling of analytics use cases

Nice to have

• Experience in Retail, Merchandising or Marketing

Details

• Location: Tower 02, Manyata Embassy Business Park, Outer Ring Rd, Bangalore 540065