About

• Dashboard Development (Power BI): Design, build, and maintain advanced Power BI dashboards for sourcing analytics, GSS reporting, and executive insights. Translate business requirements into intuitive, interactive visualizations and optimize performance using best practices in DAX, Power Query, and data modeling. Data Engineering & Architecture (Snowflake): Develop and optimize Snowflake SQL queries, views, and stored procedures to support large-scale analytics and reporting needs. Design and operationalize cross-system data flows and distributed applications for analytics and AI/ML initiatives. Predictive Modeling & AI/ML: Build and deploy predictive models for sourcing forecasts, supplier risk scoring, and spend optimization using Python and ML frameworks (e.g., scikit-learn, TensorFlow, Snowflake Cortex). Enable AI-driven data enrichment and GenAI capabilities to enhance user experience and decision-making. Automation & Cloud Enablement: Contribute to automation of recurring workflows and support migration to cloud-native ETL platforms for improved scalability and efficiency. Collaboration & Stakeholder Engagement: Partner with global business stakeholders to gather requirements, refine objectives, and deliver actionable insights. Participate in GSS strategy change projects, bringing data-driven insights and visualization capabilities to transformation efforts. Innovation & Continuous Improvement: Identify opportunities to streamline processes, enhance analytics capabilities, and explore new data sources and domains. Contribute to metadata management, data modeling, and documentation to ensure robust governance and transparency. At least 4 years of experience in data analytics, dashboard development, and predictive modeling in a professional setting with a Bachelor's or Master's degree in computer science, Data Analytics, Information Systems, or a related field. Proven ability to analyze and synthesize large datasets from diverse sources, including SQL and Snowflake. Experience with ETL platforms and data integration tools (e.g., Dataiku, Lightning, Alteryx) is a plus. 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. 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. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.