- 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 / About You:
Experience:Overall 2-6 years exp and relevant 1-3 years exp
Qualification:
TI : B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent
US : Bachelors
- Skills required:
1. Hands on experience to Structured Query Language (SQL) syntax, including joins,
volatile tables, and basic query tuning. And deep understanding of core DW/BI
concepts.
2. Experience in at least 1 BI Visualization tool (i.e. PBI, Looker, Tableau) with ability to
learn additional vendor and proprietary visualizations tools.
3. Working knowledge of structured (Oracle, Hive) and unstructured databases
including Hadoop Distributed File System (HDFS)
4. Exposure to large-scale datasets using tools like GCP BigQuery, Spark, or SQL-based
warehouses and data pipelines (using Airflow or similar tools)
5. Exposure to R, Python, Hive or other open-source languages/database
6. Understanding of analytical techniques (like Regression, Time-series models,
Classification Techniques, etc.) to discover and measure key business drivers
7. Git source code management & experience working in an agile environment
8. Problem solving skills
9. Self-motivated and able to work in team settings in a fast-paced environment
10. Competent and curious to ask questions and learn to fill gaps
11. Good communication.
12. Experience with Retail, Merchandising, Marketing will be strong addons
13. Basic understanding of Generative AI (GenAI) and Large Language Model (LLM)
based applications, including prompt engineering, RAG and AI-assisted workflows
14. Ability to leverage AI-powered tools to improve analytical productivity, automate
apply now: https://corporate.target.com/jobs/w10/66/data-analyst?utm_source=Indeed(Organic)&utm_medium=Organic&utm_campaign=Feed_All_Locations_All_Roles&source=srm_indeed_org
