Third-party Reporting & Analytics, Associate, Business Unit Management at Morgan Stanley

Department: Business Unit Management

Setup: On-site
Location: Bengaluru, Karnataka
Level: mid
Posted: Jul 21, 2026

Description

Morgan Stanley is hiring a Data, Analytics & AI Innovation Associate to analyze Global Supplier Services data and third-party relationships, develop dashboards and predictive analytics, and support data innovation and transformation. The role requires SQL, Python, Snowflake, and Power BI expertise, along with business acumen, stakeholder communication, and experience in analytics or business intelligence. Preferred qualifications include Generative AI, machine learning, cloud data platforms, and sourcing or expense-management experience.

Required Skills

SQL
Python
Snowflake
Power BI
Predictive analytics
Data storytelling
Generative AI
Machine Learning

Additional Information

Required Previous Experiences: 3–5 years of relevant professional experience in analytics, business intelligence, data science, quantitative analysis, or related fields
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
Preferred Qualifications: Interest or 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 with AI tools such as Microsoft Copilot, Snowflake Cortex AI, Azure AI, OpenAI APIs, LangChain, or vector databases
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
Understanding of experimentation, hypothesis testing, and data-driven decision-making frameworks