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Tier-1 brand, mid-level generalist title, and common data skills increase competitive applicant density.
Core data engineering and BI skills are transferable, but Risk & Compliance domain familiarity increases preference.
Mandatory SQL/Python, ETL, cloud and 2+ years experience create moderate applicant filtering.
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Develop and support scalable data solutions, modern reporting, and AI-driven analytics within Risk & Compliance domain.
Enhance decision-making and enterprise risk management by improving data quality and analytics capabilities.
Serve as a connector across teams to introduce innovative AI approaches and scale analytics solutions.
Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or related field.
Minimum 2 years of experience in data analytics, data engineering, or related role.
Strong proficiency in SQL and hands-on experience with Python for data processing.
Experience building/supporting data pipelines (ETL) and working with cloud platforms (e.g., GCP, BigQuery).
Experienced in building dashboards using Power BI and/or Tableau with exposure to AI/GenAI tools or concepts.
Familiar with Risk & Compliance domains and/or GRC platforms like Archer or ServiceNow.
Demonstrated capability to collaborate cross-functionally and innovate in analytics solutions.