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

• Advanced Microsoft Office skills, including Excel and PowerPoint

• Ability to manage multiple priorities in a fast-paced environment with minimal supervision

Preferred Qualifications

• Demonstrated interest, coursework, certifications, projects, or work experience in Generative AI, Machine Learning, Data Science, Predictive Analytics, or Quantitative Modeling

• Knowledge of statistical techniques, forecasting, regression analysis, clustering, classification, optimization, or other analytical methodologies

• Experience leveraging AI tools such as Microsoft Copilot, Snowflake Cortex AI, Azure AI, OpenAI APIs, LangChain, vector databases, or similar technologies

• Exposure to semantic models, knowledge graphs, ontologies, graph databases, or AI-powered data discovery solutions

• Familiarity with cloud data platforms such as Snowflake and modern data architectures

• Experience building automated analytical workflows using Power Automate, APIs, or Python-based frameworks

• Industry experience with sourcing, procurement, Accounts Payable, third-party lifecycle management, or expense management is advantageous

• Understanding of experimentation, hypothesis testing, and data-driven decision-making frameworks

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.