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Tier-1 brand, generic Data Scientist title, metro location and broad skill requirements increase applicant competition.
Core data and SQL skills are transferable across industries, though payments experience is preferred.
Moderate technical filters (advanced SQL, Microsoft BI stack) exist but no strict years requirement.
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Develop and maintain advanced reporting and data visualization for large volumes of data to support Products & Innovation Global Commercial analytics across products, markets, and services.
Translate business requirements into solution specifications and deliverables on time with a focus on repeatable modeling and reporting processes.
Perform data manipulation, cleansing, validation, and quality control to provide first-level insights and present findings to stakeholders via Excel and PowerPoint.
Experience with advanced SQL coding and platforms like SQL Server, Microsoft BI Stack.
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or related fields.
Proven experience in data management, data mining, analytics, reporting, or quantitative analysis.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable working with large scale data and translating complex business needs into actionable analytic solutions in a global commercial environment.
Familiarity or experience with financial institutions or payment industry preferred.
Capable of working under ambiguity, collaborating with management and stakeholders, and delivering quality insights with strong attention to detail.