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Tier-1 brand, metro location, and broad mid-senior analytics skillset drive high competition.
Enterprise risk, governance, and banking context increase domain specificity, limiting cross-industry transferability.
Mandatory 7+ years and extensive analytics, data engineering, and platform requirements make shortlisting highly strict.
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Advise senior leadership on analytical strategies for complex business and technical challenges across the enterprise.
Lead advanced analytics initiatives using exploratory, predictive, and prescriptive analytics combined with modern data architecture and data governance.
Deliver large-scale, innovative data solutions involving data integration, quality, lineage, and modernization in cloud-based scalable ecosystems.
7+ years of experience in analytics, data science, business intelligence, data engineering, or related analytical function.
Advanced proficiency in SQL, Python, Power BI, and Alteryx; experience with modern data platforms like Databricks or equivalent.
Not explicitly mentioned in the JD: notice period requirement.
Master’s degree or higher in a quantitative, technical, or related discipline preferred (desired but not strictly mandatory).
Experienced senior individual contributor capable of independently driving cross-domain analytics strategies connecting data engineering, data science, and business analytics.
Strong background in statistical analysis, predictive modeling, machine learning, and advanced analytical methods within large, complex enterprise environments.
Proven ability to translate complex analytics into executive-ready insights and recommendations, and to influence leadership through strong communication and stakeholder management skills.