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Tier-1 brand, Bengaluru location, and a popular junior data role with broad skills increases applicant density.
Core data engineering, SQL, and Power BI skills are highly transferable across industries.
Explicit minimum experience plus specific Power BI, SQL, and cloud data platform requirements create strict filters.
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Develop and maintain Power BI semantic models, dashboards, and reports to drive data-driven decision-making across Operations.
Build and support enterprise data pipelines, ETL/ELT processes, and AI-enabled automation solutions including those leveraging Generative AI, LLMs, and machine learning.
Collaborate with business and IT stakeholders to deliver scalable analytics products and contribute reusable AI and automation assets for enterprise-wide adoption.
1–3 years of relevant experience in Data Analytics, Business Intelligence, Data Engineering, or AI-related projects.
Hands-on experience with Power BI (including DAX, Power Query, semantic modeling), SQL, and exposure to cloud data platforms like Snowflake, Oracle, or Databricks.
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Science, AI/ML, or related field.
Work Experience Required: Minimum 2 years of relevant industry experience explicitly mentioned.
Experience or exposure to Generative AI technologies including Azure OpenAI, Microsoft Copilot, OpenAI APIs, and understanding of LLMs and prompt engineering concepts.
Background or familiarity with Supply Chain, Procurement, Logistics, Manufacturing, or Enterprise Operations analytics is a plus.
Capable of collaborating cross-functionally with business and technical teams to translate business needs into scalable AI and analytics solutions in dynamic enterprise environments.