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Strong brand, generalist data role, Bangalore metro, and broad toolset drive high competition.
Retail forecasting and analytics require domain knowledge, though core SQL/Python skills are transferable.
Minimum 1+ year and specific SQL/statistics/tool expectations create moderate shortlisting rigor.
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Analyze data to support business objectives with clear, understandable stories using descriptive and basic inferential statistics.
Write and manage complex SQL queries for data mining, creation, and consolidation.
Use analytic methods including A/B testing, time series analysis, S&OP planning, and forecasting models to inform decision-making.
Bachelor's degree or equivalent experience in a quantitative field.
1+ year experience as a Data Analyst or equivalent.
Intermediate SQL proficiency with ability to write complex queries.
Experience with analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe or Google Analytics.
Comfortable bridging communication between business and technical teams to align on project goals and measurement needs.
Analytically curious with strong problem-solving skills and ability to translate data insights into actionable business recommendations.
Experience applying statistical methods including A/B testing, time series analysis, and forecasting models in a business context.