Sr Data Analyst

As a Sr Data Analyst for Target's Data Analytics team you'll:

Support our world-class leadership team at Target with critical data analysis that helps 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 drive business strategies using data.

Key Responsibilities

• 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
  
  

Requirements / About You

Experience: Overall 5-8 years exp and relevant 3-5 years exp

Qualification

TI : B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent

US : BA/BS in a quantitative degree – Math, Statistics, Econometrics, Data Sciences, Computer Science or equivalent work experience

Skills Required

• Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts.
• Proven hands-on experience in BI Visualization tool (i.e. PBI, Looker, Tableau) with ability to learn additional vendor and proprietary visualizations tools.
• Strong knowledge of structured (i.e. 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/database
• Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above
• Git source code management & 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 to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines
• Competent and curious to ask questions and learn to fill gaps, desire to teach and learn.
• Excellent communication, service orientation and strong relationship building skills
• Experience with Retail, Merchandising, Marketing will be strong addons
• Hands-on experience leveraging Generative AI (GenAI) and LLM-based solutions (e.g., prompt engineering, Retrieval-Augmented Generation – RAG) 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, improving productivity, and scaling analytics use cases.
  
  

Useful Links-

Life at Target- https://india.target.com/

Benefits- https://india.target.com/life-at-target/workplace/benefits

Know More About Us Here

• Life at Target: https://india.target.com/
• Benefits: https://india.target.com/life-at-target/workplace/benefits
• Culture: https://india.target.com/life-at-target/belonging
• Target Tech: https://tech.target.com/