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Tier-1 employer, mid-level BI role, metro location and popular title increase candidate competition.
Core BI and data engineering skills are broadly transferable across industries.
Explicit 2–4 years plus mandatory SQL, Hive and Python skills enforce strict shortlisting.
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Define and execute the data consumption strategy and monitor performance trends to guide interventions.
Collaborate with engineering and product teams to design scalable data models and choose optimal analytics architectures.
Integrate AI capabilities to develop BI-focused applications and automated insights, and establish best practices for data modeling and reporting.
2-4 years of experience in data analytics or BI engineering.
Advanced proficiency in SQL and Big Data querying.
Strong knowledge of Hive internals and query optimization.
Good understanding of data architecture, data modeling, and use of AI/LLMs in BI applications.
Experienced in working with large-scale data systems in fast-growing tech environments.
Skilled in collaborating across engineering and product teams to influence data solutions.
Capable of becoming a subject matter expert in analytics tech stacks and driving innovation with AI integration.