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Mid-level generalist analytics role, metro context, and broad SQL/Python/BI/LLM requirements drive high competition.
Analytics engineering skills (SQL, Python, ETL, BI) are broadly transferable across industries.
Explicit 2-5 years plus mandatory SQL, Python, BI, and LLM experience increases shortlisting strictness.
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Build and maintain analytics datasets and pipelines powering dashboards and AI applications for multiple business functions.
Design and develop AI-powered analyst agents to automate insights and enable conversational analytics.
Collaborate closely with business stakeholders to translate requirements into scalable, high-quality analytics solutions.
2-5 years experience in Analytics Engineering, Business Intelligence, Data Analytics, or Data Engineering.
Degree in BTech or MCA mandatory.
Proficient in SQL and Python, with experience in at least one BI tool (Tableau, Power BI, Metabase, etc.).
Hands-on experience in building ETL/ELT pipelines and developing LLM-powered AI applications using frameworks like LangChain, LangGraph, or OpenAI SDK.
Experienced in building production-grade, scalable analytics solutions integrating AI technologies.
Comfortable working as an individual contributor translating business needs into technical analytics products.
Skilled in optimizing data workflows and automating recurring analytical processes with strong technical expertise in modern AI tools and analytics frameworks.