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Tier-1 brand, mid-level generalist data role, metro location, and broad skill requirements increase competition.
Core analytics skills are transferable but e-commerce inventory and AI automation emphasis adds moderate domain bias.
Explicit 4-6 years requirement plus mandatory data/AI skills and Python/R/SQL makes shortlisting stringent.
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Analyze large datasets using AI and data analytics to extract insights supporting business decisions.
Optimize inventory levels through detailed analysis to enhance supply chain efficiency.
Develop AI automation and data models to increase productivity and improve data processing accuracy.
4.0-6.0 years of experience in data analysis or related field.
Bachelor's degree in Computer Science, Statistics, Engineering, or a relevant field.
Proficiency in data analytics tools and programming languages such as Python, R, and SQL.
Strong analytical skills with experience in AI analysis and inventory analysis.
Experienced in leveraging AI techniques within data analysis to drive business growth.
Skilled at collaborating with cross-functional teams to translate business needs into analytical solutions.
Capable of independently managing complex data projects in a fast-paced environment with clear communication of insights.