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Strong Tier-1 brand, metro location, broad generalist data role, and popular mid-senior level increases competition.
Core data engineering and analytics skills are transferable, but banking risk and governance needs increase domain sensitivity.
Explicit 7+ years requirement plus many mandatory technical and governance skills increases shortlisting strictness.
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Advise senior leadership on complex analytical strategies impacting multiple business and technical domains.
Lead resolution and delivery of large-scale, innovative analytics solutions using advanced techniques and multiple data sources.
Drive enterprise-wide initiatives in data modernization, governance, quality, and advanced analytics to generate actionable insights and influence decision-making.
7+ years of experience in analytics, data science, business intelligence, data engineering, or related analytical functions.
Advanced proficiency with SQL, Python, Power BI, and Alteryx; experience with Databricks or equivalent cloud-based analytics platforms.
Strong experience in statistical analysis, predictive modeling, machine learning, and modern data engineering practices including ETL/ELT and data governance.
Work Experience Required: Minimum 7+ years in relevant analytical roles. No explicit mention of notice period.
Senior-level analytics leader capable of operating autonomously across data science, data engineering, and business analytics domains in complex enterprise environments.
Experienced in managing advanced analytics initiatives that combine exploratory, predictive, and prescriptive methods with modern data platform architectures.
Proficient in translating complex analytics into executive-ready insights and leading data modernization and governance efforts enterprise-wide.