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Tier-1 brand, metro location, mid-level generalist analytics role, and popular 5-7 year band increase competition.
Role requires retail/transaction analytics domain expertise and specific toolset, reducing cross-industry transferability.
Explicit 5-7 years requirement plus mandatory SAS/SQL/R, retail analytics and Hadoop skills make filters strict.
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Manage end-to-end project delivery of analytical solutions for retail and payments clients, using tools like SAS, SQL, R, and internal platforms.
Perform hands-on data analysis, quality assurance of analytical code, and transform business questions into actionable insights for global clients.
Drive standardization and automation of analytical processes and support global solution delivery across multiple regions including North America, Europe, APMEA, and Latin America.
Bachelor's degree in a quantitative field such as Computer Science, Statistics, Econometrics, Engineering, Mathematics, or Operations Research; MS or MBA preferred.
5-7 years of hands-on experience in data mining, analysis, and modeling using large granular datasets for retail clients.
Strong skills in SAS, SQL, MS-Excel-VBA, and PowerPoint; experience with Hadoop and statistical analysis techniques is a plus.
Fluency in English with strong quantitative, technical, and communication abilities; flexible to work across multiple global time zones.
Experienced in retail industry analytics focusing on SKU level data related to pricing, promotions, assortment, customer communication, and loyalty.
Capable of acting as a bridge between business, analytical, and technical teams to articulate solution requirements effectively.
Proven ability to apply statistical methods and analytics to understand customer behaviors and develop strategies that enhance long-term customer value.