Data & Analytics, Associate, Business Unit Management at Morgan Stanley
Bengaluru, karnataka, India -
Full Time


Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Power BI, DAX, Data Modeling, Snowflake, SQL, Python, Machine Learning, AI, Data Engineering, Data Architecture, ETL, Data Integration, Collaboration, Communication, Automation, Cloud

Industry

Financial Services

Description
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 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. 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. 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. 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.
Responsibilities
The role involves designing and maintaining advanced Power BI dashboards and developing Snowflake SQL queries for analytics. Additionally, it includes building predictive models and contributing to automation and cloud enablement initiatives.
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