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Tier-1 brand, metro Bangalore, mid-level generalist data role with broad required skills and GenAI experience.
Core analytics skills transfer across industries but retail/merchandising domain experience is a significant advantage.
Explicit 5-8 years plus mandatory SQL, BI, cloud, orchestration, and GenAI technical competencies.
Collaborate with business leaders to translate complex business problems into actionable data insights driving strategic decisions across multiple domains including Marketing, Supply Chain, and Finance.
Develop, deliver, and maintain advanced analytics and AI-driven solutions (including GenAI and AI-agent workflows) for decision support, forecasting, optimization, and automation using large-scale datasets and tools like GCP BigQuery, Spark, SQL, and Airflow.
Communicate data insights effectively to non-technical stakeholders and ensure analytical outputs are accurate, scalable, aligned with business context, and adhere to data protection and responsible AI standards.
5-8 years overall experience with 3-5 years relevant in data analytics or related fields.
Bachelor's degree in quantitative disciplines such as B.Tech/B.E., Masters in Statistics/Econometrics/Mathematics, or equivalent experience.
Strong hands-on skills in SQL, SQL optimization, data warehouses, BI visualization tools (e.g., Power BI, Looker, Tableau), and programming languages like R or Python.
Experience with advanced analytics techniques (regression, time-series models, classification), working with structured and unstructured databases (Teradata, Oracle, Hive, HDFS), and Agile development environment.
Experienced data analyst comfortable working in fast-paced, multi-domain environments requiring scalable AI and analytics solution development and deployment.
Proficient in integrating Generative AI and LLM-based tools into data analytics workflows for automation and productivity enhancement.
Skilled at translating business priorities into measurable analytical models and communicating complex insights clearly to both technical and non-technical stakeholders.