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Tier-1 brand, generalist data title, mid-level experience, and Bengaluru location increase competition.
Core analytics, SQL, BigQuery, and Python skills transfer easily across industries.
Multiple mandatory technical skills and explicit 5-8 years experience create strict screening.
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Collaborate with business leaders across multiple domains to translate complex problems into actionable data insights that drive strategic decisions.
Develop and deliver advanced analytical and AI-driven solutions including generative AI and agent-based approaches to support forecasting, optimization, and automation.
Manage large-scale data environments using tools like GCP BigQuery, Spark, SQL, and orchestrate reliable data pipelines aiming for scalable, accurate analytical outputs aligned with business goals.
5-8 years overall experience with 3-5 years in relevant data analytics roles.
Bachelor's degree in quantitative fields such as Engineering (B.Tech/B.E.), Statistics, Econometrics, Mathematics or equivalent; or US equivalent degree.
Proven expertise in SQL, SQL optimization, data warehousing/BI concepts, and BI visualization tools like Power BI, Looker, or Tableau.
Experience with structured and unstructured databases (Teradata, Oracle, Hive, HDFS), programming in R or Python, and exposure to advanced analytics methods including regression and time-series models.
Experienced in integrating and operationalizing AI-driven analytics, including generative AI and LLM techniques, within data workflows for automation and productivity enhancement.
Strategic collaborator able to work with diverse business functions such as Retail, Merchandising, Marketing, and Supply Chain, translating priorities into analytical requirements and recommendations.
Comfortable working in agile, fast-paced environments, managing multiple stakeholders, and communicating complex analytics clearly to non-technical audiences.