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/

Work arrangement
No