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Strong employer brand, metro Bangalore, mid-level generalist role and broad tech requirements increase applicant competition.
Core analytics and tooling are transferable, though retail/merchandising domain experience is strongly preferred.
Explicit 5-8 years plus multiple mandatory technical skills and tools leads to high shortlisting rigidity.
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Collaborate with business leaders across domains to translate data into actionable strategic insights using advanced analytics and AI-driven solutions.
Develop, execute, and maintain analytical workflows and data pipelines on platforms like GCP BigQuery and Spark to support decision-making, forecasting, and optimization.
Communicate insights effectively to non-technical stakeholders and ensure analytical outputs are accurate, scalable, and aligned with business context.
5-8 years overall work experience with 3-5 years in relevant data analytics roles.
Bachelor’s or Master’s degree in quantitative fields such as B.Tech/B.E., Statistics, Econometrics, Mathematics, Data Sciences, or Computer Science (or equivalent).
Strong hands-on skills in SQL, SQL optimization, data warehousing, BI visualization tools (Power BI, Tableau, Looker), and experience with both structured and unstructured data platforms like Teradata, Oracle, Hive, HDFS.
Experience with advanced analytical techniques (regression, time-series, classification), programming languages (R, Python, Hive), and working knowledge of Git and Agile environments.
Experienced in integrating Generative AI and LLM-based solutions (e.g., prompt engineering, Retrieval-Augmented Generation) to enhance data analysis and automate insights.
Strong domain experience or interest in Retail, Merchandising, Marketing, and familiarity with applying AI-driven tools in end-to-end analytical processes.
Capable of translating complex business problems into structured analytical approaches and delivering clear, impactful communication to diverse stakeholders.