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Tier-1 brand, Bangalore metro, mid-level generalist role with broad skill requirements increases competition.
Core analytics skills are transferable across industries, though retail domain experience is a helpful differentiator.
Explicit 5-8 years plus mandatory SQL, BI, big-data, orchestration and GenAI skills create strict filters.
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Collaborate with business leaders across multiple domains to transform data into actionable insights that influence strategic decisions.
Develop and deliver advanced AI-driven and analytical solutions, including GenAI and agentic approaches, to support forecasting, optimization, and automation.
Build and maintain large-scale data pipelines and ensure analytical outputs are accurate, scalable, and aligned with business needs.
5-8 years overall experience with 3-5 years in relevant data analytics roles.
Degree: B.Tech / B.E. or Masters in Statistics, Econometrics, Mathematics or equivalent quantitative degree (e.g., BA/BS in Math, Statistics, Data Science, Computer Science).
Proficiency in SQL including SQL optimization, BI visualization tools (PowerBI, Looker, Tableau), large-scale databases (Teradata, Oracle, Hive, HDFS).
Hands-on experience with R, Python, Hive, advanced analytical techniques (regression, time-series, classification), and Git source management.
Experienced in applying advanced analytics and AI-driven techniques to solve business problems with measurable impact across retail or merchandising domains.
Skilled at integrating Generative AI and LLM-based tools to automate insight generation and enhance decision-making processes.
Able to operate in fast-paced, agile environments, partnering effectively with stakeholders and communicating complex analyses to non-technical audiences.