Data Analyst - Associate - Data & Analytics Engineering

We're seeking someone to join our team as a Data & Analytics Engineer in Cyber Data Risk & Resilience.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

This is a Data & Analytics Engineer position at Associate level which is part of the job family responsible for providing specialist data analysis and expertise that support decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

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:

• Be part of a team of innovative data management experts who will engage with business, operational and technology teams in order to:
• Inform them and provide guidance on the concepts of data management and governance.
• Support their efforts to deliver and maintain the firm's Global Data Quality Policy.
• Pursue data quality best practices and implement rules which will mitigate the risks related to the data used in the firm.
• Deliver regulatory requirements pertaining to the data used or produced by the firm.
• Provide support and guidance on queries related to data cataloguing and extracts
• Self-Serve Dashboards, Metrics, Reports support and associating minor/moderate fixes when required
• Perform root cause analysis, identifying common themes across data issues and suggest solutions - triaging amongst internal Teams
• Understand, capture and document new requirements relating to Reporting Services

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
• Experience in data engineering: ETL / ELT, data modelling and data analytics and programming languages (such as Python, SQL)
• Experience and expertise with data visualization technologies (such as Tableau, PowerBI)
• Experience with handling a variety of data sources as input (such as PostgreSQL and Microsoft Excel)
• Experience with relational database management and processes.
• Experience with data analysis and manipulation (such as DataIKU, PowerQuery).
• Experience with code optimization and performance enhancements to improve application efficiency and scalability
• Demonstrated experience in troubleshooting, debugging and testing to ensure high quality, reliable code
• Demonstrated experience in enterprise data management, data quality governance processes and methodologies.
• Experience in stakeholder management.

You might also have:

• Experience with data centric tools around data lineage and dictionaries, common data access APIs, golden source identification, ontology/taxonomy development, Data DevOps.
• Experience with meta data management tools (such as Collibra).
• Experience with Agile methodology (Scrum, Kanban).
• Experience with APIs.
• Experience with management of PII and other sensitive data.
• Understanding of finance regulatory drivers (Mifid II, AML, KYC)

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.

Client-provided location(s): Mumbai, India

Job ID: Morgan-PT-JR028599

Employment Type: FULL_TIME

Posted: 2026-02-06T18:37:58