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Tier-1 brand, mid-level experience band, metro location, and broad technical requirements increase competition.
Core data engineering and analytics skills are broadly transferable across industries despite payments preference.
Explicit 4-6 years plus many mandatory data platform and tooling skills makes filters strict.
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Architect, develop, and maintain advanced reporting and data visualization capabilities using large-scale data for product, market, and service analytics.
Translate business requirements into ETL, modeling, and reporting solutions that are high quality and delivered on time.
Create repeatable data processes and provide first-level data insights presented through dashboards and reports.
4-6 years of experience in data engineering, data analytics, data reporting, and quantitative analysis.
Advanced SQL skills including writing optimized queries; experience with stored procedures, functions, and views preferred.
Experience with big data platforms like Cloudera Hadoop, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and data pipeline tools like Alteryx or SSIS.
Experience using data visualization tools such as Tableau, PowerBI, or similar, plus knowledge of data validation, cleansing, and quality control processes.
Proven ability to manage and deliver end-to-end data solutions in a global analytics environment supporting cross-continental users.
Strong technical expertise in big data technologies, ETL development, and data visualization combined with ability to translate business needs into actionable data products.
Experience engaging with management and internal stakeholders to gather requirements and deliver insightful data presentations to influence decisions.