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Tier-1 brand, common Data Scientist title, and likely metro location increase applicant competition.
Core analytics and SQL skills are broadly transferable across industries; payments experience is optional.
Requires specific BI/SQL/Hadoop tooling and degrees but no explicit years, so medium strictness.
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Architect, develop, and maintain advanced reporting and data visualization on large datasets to support analytics across products and markets.
Translate business requirements into solution specifications and deliver timely, high-quality analytics and reports.
Apply data quality control, validation, and cleansing processes and present insights via Excel and PowerPoint.
Experience with advanced SQL and ability to write optimized queries for large datasets.
Familiarity with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS).
Experience with platforms/environments such as Cloudera Hadoop, Big Data technology stack, SQL Server, Microsoft BI Stack.
Education: Bachelor's or Master's in Computer Science, IT, Engineering, Mathematics, Statistics, or related field; Work Experience Required: Not explicitly mentioned in the JD.
Experience in data management, mining, analytics, reporting, and quantitative analysis, preferably in financial institutions or payments domain.
Capability to interact with management and stakeholders to gather requirements and operate effectively under ambiguity.
Skilled in presenting data findings in readable, insight-driven formats and creating support decks.