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Metro location and a popular BI role increase density despite technical specialization.
Strong technical skills transferable across industries, but domain data knowledge moderately favors industry fit.
Extensive mandatory Tableau, advanced SQL and Python skills plus practical assessment increase shortlisting rigor.
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Own end-to-end analytics lifecycle from understanding business questions, validating data, to building optimized SQL datasets and publishing Tableau dashboards.
Design, develop, maintain, and optimize enterprise-grade Tableau dashboards ensuring decision-ready insights with high data quality and performance.
Develop Python utilities for data extraction, transformation, validation, automation, and support post-release troubleshooting and continuous dashboard improvements.
Strong expertise in Tableau including Tableau Desktop and Server/Cloud with advanced features like LOD expressions, performance tuning, and row-level security.
Expert-level advanced SQL skills handling complex queries, performance optimization, data reconciliation, and relational database concepts.
Proficient in Python for data processing and automation with experience in pandas, NumPy, REST APIs, and development best practices.
Bachelor's or Master's degree in Computer Science, IT, Data Science, Statistics, Engineering, or related field; demonstrable experience delivering production Tableau solutions and complex SQL in business environments.
Experienced in handling large, complex datasets independently and validating data quality end-to-end.
Strong ability to translate unclear business requirements into precise queries, metrics, and actionable insights with a deep understanding of data and business context.
Possesses practical skills in Tableau dashboard design, SQL problem-solving, Python development, and demonstrated ownership of analytics accuracy and usability.