Business Analyst, Finance Automation – Data Design

Business Analyst, Finance Automation – Data Design   We’re seeking someone to join our team as a  Business Analyst, Finance Automation – Data Design  to transform Finance data capabilities by designing scalable data solutions, enabling modern analytics, and driving migration to next-generation platforms such as Snowflake. In the Finance division, we act as a partner to business units around the globe by providing management, review, analysis and advisory services of the Firm’s financial and capital resources.   Since 1935, Morgan Stanley is known as a global leader in financial services, continuously 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:   Data Design & Data Modelling:  Translate business needs into clear data requirements and scalable data models. Design efficient data flows, mappings, and structures that enable high-quality Finance reporting and analytics. Define data standards, lineage, and reusable frameworks.  Data Platform Transformation (Snowflake Migration):  Play a key role in migrating Finance data to a modern Snowflake platform. Partner with data and technology teams to shape pipelines and transformation logic while ensuring data quality, consistency, and long-term usability  Analytics & AI Enablement (Cortex/AI Advantage):  Unlock advanced analytics by improving data accessibility and structure. Support adoption of AI-driven insights and modern data exploration capabilities (e.g. Cortex/GenAI), helping Finance move toward data-driven decision-making.  Business Analysis & Stakeholder Collaboration:  Engage with stakeholders to gather and refine business and data requirements. Act as a trusted link between Finance, Data, and Technology, translating complex needs into practical solutions and clear recommendations.  Data Quality, Governance & Controls:  Drive strong data quality and governance practices. Address data issues, define ownership and standards, and support regulatory and reporting requirements through structured, reliable data design.  Process Optimization & Automation:  Identify opportunities to simplify and automate processes. Support implementation of efficient workflows and continuously improve how Finance teams' access and use data.  What you’ll bring to the role:   At least  6 years of relevant experience   Experience in Business Analysis within  data, reporting, or Finance environments   Ability to translate business requirements into  data designs and technical specifications     Strong analytical skills with hands-on experience in  SQL, Python, Excel, or BI tools (e.g. Power BI)    Understanding of  data modelling, data structures, and data lifecycle management   Experience working in  cross-functional teams (business and technology)    Exposure to  cloud data platforms (Snowflake preferred)   Familiarity with  data governance, data quality, or regulatory reporting frameworks    Strong communication skills and ability to explain complex data topics clearly  Advantage:  Experience with AI-enabled tools, analytics platforms, or Cortex capabilities  What you can expect from the role   Opportunity to contribute to a  large-scale Finance data transformation (Snowflake migration)   Exposure to  modern data, automation, and AI-driven analytics capabilities   Collaborative work with  EMEA and global stakeholders   A supportive environment focused on  learning, growth, and innovation   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