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Strong employer brand, metro location, mid-level generalist data title and broad required skills create high competition.
Core SQL, BI and analytics skills are transferable across industries, though retail/merchandising experience is preferred.
Explicit 2-6 year requirement plus mandatory SQL, BI, cloud and analytics skills raises shortlisting strictness to high.
Execute data analysis and support merchandising decisions using established frameworks.
Develop and maintain reports, dashboards, and basic models to track business performance and trends.
Collaborate with senior analysts and stakeholders to understand business questions and communicate findings through summaries and data storytelling.
2-6 years overall experience with 1-3 years relevant experience in data analysis.
Bachelor's degree: B.Tech/B.E. or Masters in Statistics/Econometrics/Mathematics or equivalent.
Hands-on experience with SQL including joins, query tuning, and data warehousing concepts.
Experience with at least one BI visualization tool (e.g., Power BI, Looker, Tableau) and working knowledge of structured and unstructured databases such as Oracle, Hive, HDFS.
Experienced in handling large-scale datasets using tools like GCP BigQuery, Spark, and SQL-based warehouses.
Familiar with analytical techniques such as regression, time-series, classification to discover business drivers.
Knowledgeable in retail, merchandising, and marketing domains, with understanding of generative AI and AI-assisted analytical workflows.