Target
Bengaluru, Karnataka, India Posted 4d ago
Target is seeking a Data Analyst to join the Data Analytics team in Bengaluru across domains like Marketing, Merchandising, Supply Chain, and Finance. You will collaborate with business leaders to turn data into insights that drive strategic decisions using advanced analytics.
Key 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.
Requirements
Overall 2-6 years of experience and relevant 1-3 years of experience.
B.Tech / B.E. or Masters in Statistics / Econometrics / Mathematics or 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 (PBI, Looker, Tableau).
Working knowledge of structured and unstructured databases including Hadoop Distributed File System (HDFS).
Exposure to large-scale datasets using tools like GCP BigQuery, Spark, or SQL-based warehouses.
Exposure to R, Python, Hive or other open-source languages.
Understanding of analytical techniques like Regression, Time-series models, and Classification Techniques.
Git source code management and experience working in an agile environment.
Basic understanding of Generative AI (GenAI) and Large Language Model (LLM) based applications.
