Data Analyst

About The Role:
Join our Data Analytics (DA) team at Target to collaborate with business leaders across domains such as Marketing, Merchandising, Supply Chain, Store Operations, Finance, and more. You'll help turn data into insights that drive strategic decisions in a fast-moving environment focused on leveraging BI and advanced analytics.

Key Responsibilities:
- Execute data analysis to support merchandising decisions using established frameworks.
- Assist with scenario and decision analysis by preparing data, running analyses, and summarizing results.
- Work closely with senior analysts and stakeholders to understand business questions and analytical requirements.
- Develop and maintain reports, dashboards, and basic models to track performance trends.
- Apply foundational predictive and diagnostic analytics techniques under guidance.
- Query large datasets using SQL (e.g., GCP BigQuery) or similar tools.
- Support data pipeline development in partnership with engineering teams.
- Communicate findings effectively through AI summaries and basic storytelling.
- Document analysis logic to support transparency and reuse.
Requirements:
- 2–6 years overall experience (1–3 years relevant).
- Bachelor's degree or equivalent in Statistics, Econometrics, Mathematics, Computer Science, etc. B.Tech/B.E. preferred for India roles; US candidates need a Bachelor's.
Skills:
- Strong SQL skills including joins and query tuning.
- Experience with at least one BI tool (Tableau, Looker, PowerBI).
- Exposure to GCP BigQuery, Spark, Airflow, or similar pipelines.
- Working knowledge of Python, R, or other open-source languages.
- Understanding of analytical techniques (Regression, Time-series, Classification).
- Git experience and ability to work in agile environments.
- Basic understanding of Generative AI (LLMs) including prompt engineering is an asset.
- Experience in Retail or Merchandising domains is highly valued.