Third-party Reporting & Analytics, Associate, Business Unit Management

We're seeking someone to join our team as a Data, Analytics & AI Innovation Associate . This role will leverage the Global Supplier Services (GSS) data to deliver insights into the Firm's third-party relationships. They will work on solutions to provide transparency and help determine opportunities to optimize Third-party expenses. This position will require a strong balance of business acumen with technical expertise. An understanding of third-party relationships and the source to pay processes is preferred. The successful candidate is expected to provide reporting & analytics deliverables in a fast paced and deadline driven environment while supporting data innovation and transformation initiatives. In the Corporate Services division, we empower our businesses by creating collaborative workplace solutions and commercial services that enhance the employee and client experience, while optimizing the value of our sourcing and third-party lifecycle to enable the Firm to do-and-win business. This is an Associate level position within the Business Unit Management, which performs business management/CAO functions such as headcount management, financials, people processes, executive communications, and strategic support. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role: * Become a subject matter expert in sourcing, procurement, third-party, and expense management data to develop analytical solutions that drive business decisions * Translate complex business requirements into stakeholder-ready insights through intuitive dashboards, predictive analytics, KPI scorecards, and executive-level presentations * Design, develop, and maintain scalable analytics solutions using SQL, Python, Snowflake, and Power BI * Identify patterns, trends, and optimization opportunities using quantitative and statistical analysis techniques * Partner with business stakeholders to explore opportunities to leverage Generative AI, Machine Learning, and advanced analytics to improve decision-making and operational efficiency * Develop proof-of-concepts and innovative solutions utilizing AI technologies such as natural language querying, semantic layers, automation workflows, and intelligent insights generation * Support the migration of reporting assets from legacy platforms to strategic cloud-based data platforms and participate in all stages of the SDLC, including requirements gathering, testing, validation, and deployment * Contribute to data governance initiatives by maintaining business taxonomies, semantic models, KPI definitions, and data quality processes * Collaborate with technology, data engineering, and business teams to onboard and model new datasets for enterprise analytics use cases * Support ad hoc analytical requests, executive reporting, scenario analysis, forecasting, and business performance measurement * Continuously evaluate emerging AI, analytics, and data science technologies to identify opportunities that enhance the GSS Data & Analytics service model What you'll bring to the role: * 3–5 years of relevant professional experience in analytics, business intelligence, data science, quantitative analysis, or related fields * Strong analytical and problem-solving skills with the ability to work with large, complex datasets * Hands-on experience with SQL for data extraction, transformation, and analysis * Experience developing dashboards and visual analytics solutions using Power BI, Tableau, or similar BI platforms * Working knowledge of Python for data analysis, automation, statistical modeling, or AI-related applications * Experience translating business requirements into analytical solutions and communicating insights to non-technical stakeholders * Strong data storytelling and executive communication skills *...