Description

Key Skills: Tableau, Alteryx, SQL, Databricks, Business Intelligence, Data Analytics, API Integration, Data Modeling, Python, Artificial Intelligence

Good to Have Skills: Master's degree in Data Science, Analytics, Business Analytics, Computer Science, or related field. Experience with conversational analytics and AI-enabled business intelligence platforms. Knowledge of large language models, retrieval-augmented generation, prompt engineering, and AI evaluation techniques. Understanding of Securities Services Operations including custody, settlements, corporate actions, reconciliations, or client servicing. Experience measuring solution adoption, business outcomes, and operational performance improvements. Familiarity with responsible AI, data governance, privacy, and model risk management practices.

Roles & Responsibilities:

• Drive the delivery and adoption of conversational analytics solutions that enable self-service, data-driven decision-making.
• Partner with business stakeholders to translate operational challenges into measurable analytical use cases and outcomes.
• Build and scale AI-enabled analytics capabilities that transform business questions into actionable insights and recommendations.
• Develop reusable frameworks for conversational analytics, semantic metrics, knowledge management, and insight generation.
• Design and implement integrations with enterprise AI and analytics platforms using APIs and modern technology solutions.
• Build and maintain dashboards, operational scorecards, and analytical solutions using business intelligence tools.
• Develop and optimize data preparation, transformation, and quality-control workflows using modern data platforms.
• Collaborate with Product, Technology, and Data Engineering teams to deliver scalable and governed analytics solutions.
• Define, monitor, and improve key performance indicators, adoption metrics, and business impact measurements.
• Communicate insights and recommendations through compelling data storytelling and executive-ready presentations.
• Ensure compliance with data governance, privacy, responsible AI, and operational risk management standards.

Experience Required: 8+ years of experience in business intelligence, analytics, decision intelligence, or operations analytics. Advanced experience developing dashboards, scorecards, and reporting solutions. Strong experience building and managing analytics workflows. Hands-on experience working with modern data platforms including SQL-based analytics. Proven experience integrating applications and platforms through APIs, including AI and machine learning-enabled solutions. Experience working with large and complex datasets to generate business insights and recommendations.

Education: Bachelor's degree in Data Analytics, Computer Science, Engineering, Information Technology, Finance, Mathematics, Statistics, or a related discipline

Key Skills

Education

Any Graduate