Description
As a Sr Data Analyst for Target's Data Analytics team, you'll support our world-class leadership team with critical data analysis to help business teams make profitable decisions. You'll enable faster, smarter, and more scalable decision-making to compete and win in the modern retail market.
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 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, 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:
- Overall 5-8 years of experience and relevant 3-5 years of experience
- Qualification: B.Tech / B.E. or Masters in Statistics / Econometrics / Mathematics equivalent
- Skills required:
+ Extensive exposure to Structured Query Language (SQL), SQL Optimization, and DW/BI concepts + Proven hands-on experience in BI Visualization tools (e.g., PBI, Looker, Tableau) + Strong knowledge of structured and unstructured databases, including Hadoop Distributed File System (HDFS) + Hands-on experience in R, Python, Hive, or other open-source languages/databases + Experience with Git source code management and agile environments + Strong attention to detail, excellent diagnostic, and problem-solving skills + Highly self-motivated with a strong sense of urgency to work independently and in team settings + Excellent communication, service orientation, and strong relationship-building skills + Experience with Retail, Merchandising, Marketing will be strong add-ons + Hands-on experience leveraging Generative AI (GenAI) and LLM-based solutions + Ability to integrate AI-driven tools and AI-agent workflows into end-to-end analytical processes