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Mid-level, generic Data Analyst role in Bengaluru with broad SQL/Python/cloud/BI requirements increases candidate competition.
Core SQL, Python, cloud and BI skills transfer easily across industries, so background sensitivity is low.
Explicit 3-5 years and mandatory advanced SQL, Python, cloud and BI skills raise strictness.
Design and maintain semantic data layers and build production-grade data pipelines optimized for both traditional BI and AI-driven analytics.
Develop interactive dashboards and data visualizations to monitor KPIs and communicate insights to business stakeholders.
Leverage AI tools to accelerate analytics development while ensuring data quality, governance, and performance across cloud data platforms.
Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, Data Science, Finance, or related quantitative field.
3-5 years of experience as a Data Analyst in corporate, consulting, or technology environments.
Proficiency in advanced SQL, Python (pandas, numpy), cloud platforms (Azure, AWS, or GCP), and BI tools (Tableau or Power BI).
Location requirement: On-site Bengaluru, Karnataka.
Experienced in data modeling and dimensional modeling with a strong understanding of database design and query optimization.
Skilled in integrating AI-assisted development tools into analytical workflows and implementing data governance frameworks.
Able to manage projects proactively, communicate roadblocks effectively, and document best practices to support team knowledge sharing.