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Tier-1 brand, metro location, generalist data analyst role with broad toolset attracts many qualified applicants.
Core SQL, BI, and data prep skills transfer broadly, though telecom and GCP/Agentic AI preferences add bias.
Explicit 2-4 years, engineering degree and specific SQL, visualization, and GCP/Python competencies make screening strict.
Define, create, automate, and maintain key operational and statistical data measures and analyses.
Lead analytics efforts including developing new processes, delivering measures/analyses, and driving continuous service/process improvement.
Coach other Data Analysts and lead a team of data scientists and engineers, developing analytics methodologies and practices.
Bachelor's or Master's degree in Engineering, Computer Science, or related disciplines from recognized institutions.
2-4 years of relevant experience in analytics and development activities.
Proficiency in SQL, PL/SQL, SQL Server, SSIS, and experience with visualization tools like Tableau or Power BI.
Experience with Excel/Access including VBA programming; knowledge of Python, Agentic AI, and Google Cloud Platform (BigQuery) considered primary competencies.
Experience in telecommunications domain is a plus enhancing domain understanding and relevance.
Capable of translating business requirements into analytics and driving continuous improvement.
Has leadership skills to coach and lead multi-disciplinary analytics teams including data scientists and engineers, focusing on operationalizing analytics as a practice.