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Strong Tier-1 brand, metro location, mid-level generalist data role and broad skillset drive high applicant competition.
Core analytics skills transferable, but retail/merchandising experience is preferred, so medium sensitivity.
Explicit 5–8 years, mandatory SQL/BigQuery/Python/BI and GenAI skills create strict shortlisting.
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Collaborate with business leaders across multiple domains to translate business problems into analytical questions and develop AI-driven decision support, forecasting, and optimization solutions.
Build and maintain scalable data pipelines and analytical workflows using large-scale datasets and platforms like GCP BigQuery, Spark, SQL warehouses, and orchestration tools such as Airflow.
Deliver actionable insights by applying advanced analytics (causal, predictive, prescriptive) and communicate these effectively to non-technical audiences, ensuring alignment with business context and impact measurement.
5-8 years overall experience with 3-5 years relevant experience in data analytics or related fields.
Bachelor's or Master's degree in quantitative disciplines such as B.Tech/B.E., Statistics, Econometrics, Mathematics, Data Sciences, or Computer Science.
Proven expertise in SQL, SQL optimization, data warehousing concepts, and experience working with large datasets in structured (Teradata, Oracle, Hive) and unstructured (HDFS) databases.
Hands-on experience with BI visualization tools (Power BI, Looker, Tableau), programming languages like R or Python, advanced analytical techniques (regression, time-series, classification), and familiarity with Git and agile environments.
Experienced in integrating Generative AI and LLM-based solutions (e.g., prompt engineering, RAG) into analytics workflows to automate insight generation and support decision-making.
Comfortable working in a fast-paced, complex environment involving multiple business domains such as Retail, Merchandising, Marketing, Supply Chain, and Finance.
Strong technical and problem-solving skills combined with the ability to translate complex analytics into clear, actionable recommendations for diverse business stakeholders.