Target Data Analyst Job Alerts 2026 – Apply Soon!

About the Role

Target is hiring candidates for the role of Data Analyst for the Bangalore, India locations.

Responsibilities

• Execute data analysis to support merchandising decisions using established frameworks and methodologies.
• 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 business performance and trends.
• Apply foundational predictive and diagnostic analytics techniques under guidance.
• Query and analyze large datasets using SQL and data platforms such as GCP BigQuery or similar tools.
• Support data pipeline development and validation in partnership with data engineering teams.
• Ensure accuracy, consistency, and quality of analytical outputs.
• Clearly communicate findings through AI summaries and basic data storytelling.
• Document analysis logic, definitions, and assumptions to support transparency and reuse.
• Follow corporate data governance, privacy, and responsible AI guidelines.

What You'll Need

• B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent.
• Hands on experience to Structured Query Language (SQL) syntax, including joins, volatile tables, and basic query tuning.
• Experience in at least 1 BI Visualization tool (i.e. PBI, Looker, Tableau).
• Working knowledge of structured (Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS).
• Exposure to large-scale datasets using tools like GCP BigQuery, Spark, or SQL-based warehouses and data pipelines (using Airflow or similar tools).
• Exposure to R, Python, Hive or other open-source languages/database.
• Understanding of analytical techniques (like Regression, Time-series models, Classification Techniques, etc.) to discover and measure key business drivers.
• Git source code management & experience working in an agile environment.
• Problem solving skills.
• Self-motivated and able to work in team settings in a fast-paced environment.
• Competent and curious to ask questions and learn to fill gaps.
• Good communication.

Resume Tip

Highlight your experience with data analysis, SQL, and BI visualization tools, as well as your understanding of analytical techniques and data governance.