Data Analyst

Morgan Stanley's Technology division is seeking a talented Data & Analytics Engineer at the Associate level to join the Cyber Data Risk & Resilience team in Mumbai, India. This role is integral to leveraging innovation, building essential capabilities, and enabling our clients and colleagues to redefine markets and shape the future.

As a Data & Analytics Engineer, you will play a key role in providing specialist data analysis and expertise. Your responsibilities will include crafting robust data pipelines, implementing effective data models, and optimizing data processes to enhance data accuracy and accessibility. A significant aspect of this role involves applying machine learning and AI-based techniques to drive data-driven insights.

Key Responsibilities:

• Collaborate with business, operational, and technology teams to provide guidance on data management and governance concepts.
• Support the implementation and maintenance of the firm's Global Data Quality Policy.
• Champion data quality best practices and implement rules to mitigate data-related risks across the organization.
• Ensure compliance with regulatory requirements pertaining to data used or produced by the firm.
• Offer support and guidance on data cataloguing, extracts, and related queries.
• Assist with self-serve dashboards, metrics, and reports, including addressing minor to moderate fixes.
• Conduct root cause analysis for data issues, identify common themes, and propose solutions by triaging with internal teams.
• Capture and document new requirements for Reporting Services.

Required Qualifications:

• A minimum of 2 years of relevant experience.
• Proficiency in data engineering, including ETL/ELT, data modeling, and data analytics.
• Strong programming skills in languages such as Python and SQL.
• Experience with data visualization tools like Tableau and Power BI.
• Ability to handle diverse data sources, including PostgreSQL and Microsoft Excel.
• Solid understanding of relational database management and associated processes.
• Experience with data analysis and manipulation tools (e.g., DataIKU, PowerQuery).
• Skills in code optimization and performance enhancement for application efficiency and scalability.
• Proven experience in troubleshooting, debugging, and testing to ensure high-quality, reliable code.
• Demonstrated experience with enterprise data management, data quality governance processes, and methodologies.
• Experience in stakeholder management.

Preferred Qualifications:

• Familiarity with data-centric tools for data lineage, dictionaries, data access APIs, golden source identification, ontology/taxonomy development, and Data DevOps.
• Experience with metadata management tools such as Collibra.
• Knowledge of Agile methodologies (Scrum, Kanban).
• Experience with APIs.
• Experience managing Personally Identifiable Information (PII) and other sensitive data.
• Understanding of financial regulatory drivers like MiFID II, AML, and KYC.

Morgan Stanley offers a supportive and inclusive environment where employees are empowered to reach their full potential. We value diversity, collaboration, and innovation, providing ample opportunities for professional growth and attractive employee benefits.