Data & Analytics, Associate, Business Unit Management job opportunity at Morgan Stanley.

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DateMore Than 30 Days Ago bot
Morgan Stanley Data & Analytics, Associate, Business Unit Management
Experience: 2-years
Pattern: full-time
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Associate, Business Unit Management

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degreeAssociate
loacation Bengaluru, India, India
loacation Bengaluru, Ind..........India

We are looking for a dynamic, innovation-driven Associate to join our GSS Data & Analytics Innovation Team. This role combines expertise in Power BI dashboard development, Snowflake data engineering, and Data Science/AI modeling to deliver advanced analytics solutions that drive strategic decision-making across global 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 team. 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: 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. Proficiency in Microsoft Office tools, especially Excel (pivot tables, slicers, formulas), PowerPoint, and Word. What you'll bring to the role: At least 2 years’ relevant  experience would generally be expected to find the skills required for this role 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. Strong proficiency in Power BI, with hands-on experience building scalable, interactive dashboards and applying best practices in DAX and data modeling. Solid working knowledge of Python for automation, data processing, and enabling AI/ML workflows. Familiarity with AI/ML concepts and frameworks (e.g., scikit-learn, TensorFlow, Snowflake Cortex) for predictive analytics and intelligent reporting. Experience with ETL platforms and data integration tools (e.g., Dataiku, Lightning, Alteryx) is a plus. Understanding of cloud-based data architecture, distributed systems, and data governance principles. Ability to work independently in a dynamic, fast-paced environment, managing multiple global initiatives effectively. Excellent collaboration and communication skills, with the ability to engage stakeholders across global regions. Proficiency in Microsoft Office tools, especially Excel (pivot tables, slicers, formulas), PowerPoint, and Word. 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 opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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