Business Intelligence (Data Analytics & AI) - Associate

Business Intelligence (Data Analytics & AI) - Associate

You are a strategic thinker passionate about analytics, artificial intelligence, and delivering innovative solutions that improve business performance. You enjoy solving complex problems, transforming data into actionable insights, and enabling users to make faster, smarter decisions through modern analytics platforms.

As a Senior Associate – Business Intelligence (Data Analytics & AI) within Securities Services Operations, you will spend each day defining, refining, and delivering scalable analytics and AI-powered solutions that drive operational excellence, improve decision-making, and enhance stakeholder experiences.

Job 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 Tableau and related business intelligence tools.
• Develop and optimize data preparation, transformation, and quality-control workflows using Alteryx and 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.

Required Qualifications, Capabilities and Skills

• Bachelor's degree in Data Analytics, Computer Science, Engineering, Information Technology, Finance, Mathematics, Statistics, or a related discipline.
• 8+ years of experience in business intelligence, analytics, decision intelligence, or operations analytics.
• Advanced experience developing dashboards, scorecards, and reporting solutions using Tableau.
• Strong experience building and managing analytics workflows using Alteryx.
• Hands-on experience working with Databricks, including SQL-based analytics and modern data platform concepts.
• Proven experience integrating applications and platforms through APIs, including AI and machine learning-enabled solutions.
• Strong knowledge of SQL, data modeling, semantic metrics, and data quality management practices.
• Experience working with large and complex datasets to generate business insights and recommendations.
• Strong stakeholder management skills with the ability to influence decisions across multiple business functions.
• Excellent verbal and written communication skills, including presenting insights to senior leadership.
• Ability to manage multiple priorities in a dynamic, fast-paced environment while delivering high-quality outcomes.

Preferred Qualifications, Capabilities and Skills

• Master's degree in Data Science, Analytics, Business Analytics, Computer Science, or a 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.
• Experience using Python for analytics, automation, and API integrations.
• 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.