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Tier-1 brand, mid-level (5-7 years) band, and metro Gurgaon location create high competition.
Role requires retail SKU-level analytics and SAS modeling, so cross-industry transferability is limited.
Explicit 5-7 years plus mandatory SAS/SQL/modeling and retail domain experience makes shortlisting highly strict.
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Perform hands-on data analysis and solution design using tools like SAS, SQL, R, and Excel to generate actionable retail insights.
Independently manage and deliver analytics projects globally, ensuring timely and high-quality completion, including quality assurance of analytical code and outputs.
Optimize and standardize analytical tools and processes; collaborate across business and technical teams to deliver data products supporting consulting engagements worldwide.
Bachelor's degree in quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research); M.S. or MBA preferred.
5-7 years of hands-on experience in data mining, analysis, modeling, and report development with large granular retail datasets.
Strong proficiency in SAS, SQL, MS-Excel-VBA, and PowerPoint; experience with Hadoop environment is a plus.
Experience with retail analytics at SKU level including pricing, promotions, assortment, loyalty, and statistical methods application.
Experienced in bridging business, analytical, and technical teams to translate requirements and deliver actionable analytics solutions globally.
Demonstrated ability to independently manage complex analytical projects involving large data warehouses and deliver solutions across multiple time zones and regions.
Strategic thinker with a track record of enhancing analytics capabilities via tool/process optimization and building business insights that grow long-term customer value.