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High: Tier-1 brand, generalist senior data title, metro location, and broad required skillset increase competition.
Medium because core data engineering and BI skills are transferable, though payments experience is preferred.
High due to many mandatory technical skills, cloud/big-data stack, and leadership/mentoring responsibilities.
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Develop and maintain data engineering, advanced reporting, and data visualization solutions to support analytics across products, markets, and services.
Lead cross-functional projects using advanced modeling and analytics to drive strategic business decisions and uncover insights.
Mentor junior team members and manage recruitment, training, and supervision of data engineering and analyst talent.
Strong expertise in data management, analytics, reporting, and quantitative analysis.
Advanced SQL skills and familiarity with big data tech stacks like Databricks, Cloudera Hadoop, and cloud platforms (AWS, Azure).
Bachelor's or Master's degree in Computer Science, IT, Engineering, Mathematics, or Statistics.
Work Experience Required: Not explicitly mentioned in the JD.
Experience building semantic models and self-service BI solutions using tools like Tableau and Power BI.
Ability to deliver clear, executive-ready presentations of data insights across multiple stakeholders.
Technical proficiency in Python, PySpark, Hive, and a strong aptitude for learning new technologies in financial services or payments industry is a plus.