Digital Marketing Operations (Data), Client Segments, Associate, Wealth Management

About Us : Morgan Stanley is a leading global financial services firm providing investment banking, securities, wealth management, and investment management services. With offices in more than 40 countries, our people are dedicated to delivering the finest thinking, products, and services to our clients. Role Summary: Morgan Stanley is seeking a motivated and detail-oriented Data Analyst with 3 to 4 years of experience in the Core Banking domain. The role focuses on supporting the development, execution, and analysis of marketing campaigns using Dataiku. The ideal candidate should be proficient in SQL, have hands-on experience in adhoc reporting and analysis, and work collaboratively with business stakeholders and data engineering teams. Exposure to Adobe Experience Platform (AEP) and Python is an added advantage. Key Responsibilities : Hands on experience in gathering campaign requirements from business partners and contribute to campaign planning and setup. Support execution and monitoring of marketing campaigns in Dataiku across banking products. Develop and run SQL queries for audience extraction, applying inclusion and exclusion criteria, and ensuring right customers are targeted for client communication Conduct ad-hoc analyses for data investigation based on business Knowledge of Snowflake is preferable Maintain clear documentation on campaign workflows, audience logic, and analytical outputs. Required Skills & Qualifications: 3–5 years of experience as a Data Analyst, preferably in Core Banking or Financial Services. Strong proficiency in SQL for writing complex queries to fetch data from multiple data sets and analyzing datasets. Should have experience in Dataiku for workflow development or campaign execution with minimal guidance. Working knowledge of Microsoft Excel for basic data handling and reporting. Ability to handle ad-hoc data requests and provide structured insights. Strong understanding of the campaign lifecycle and segmentation. Good communication skills and a team-oriented mindset. Bachelor’s degree in computer science, Information Systems, Marketing Analytics, or a related field. Nice to Have: Exposure to Snowflake or other cloud-based data platforms. Exposure to Adobe Experience Platform (AEP) Basic knowledge of Python for data processing or automation tasks. Awareness of data privacy and compliance in financial environments. 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 into your browser. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: .