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Mid-level, generalist Data Analyst role in Bangalore with broad required skills at a well-known firm increases applicant competition.
Core analytics skills (SQL, Python, BI, cloud) are highly transferable across industries, so background sensitivity is low.
Multiple explicit technical requirements (3–5 years, advanced SQL, Python, cloud, BI, data modeling) make filters strict.
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Design and maintain semantic data layers and build production-grade data pipelines optimized for diverse query patterns and AI-driven interactions.
Develop interactive dashboards, reports, and data visualizations to monitor KPIs and communicate insights to business stakeholders.
Leverage AI tools to accelerate development while ensuring accuracy, govern data quality frameworks, and manage project deliverables within an enterprise analytics environment.
Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, Data Science, Finance, or other quantitative fields.
3-5 years of experience as a Data Analyst in corporate, consulting, or tech environments.
Advanced SQL proficiency with experience in query optimization, execution plan analysis, and performance tuning across large datasets.
On-site work location in Bengaluru, Karnataka.
Experience working with cloud-based data platforms such as Azure, AWS, or GCP for 3+ years.
Strong skills in Python for data manipulation and analysis (pandas, numpy) and expertise with BI tools like Tableau or Power BI.
Familiarity with AI-assisted development tools and a strong understanding of data modeling, data governance, and delivering analytical solutions for diverse business stakeholders.