Job Description
Data Analyst (Statistical Analysis) - Associate - Infrastructure Production Management & Reliability Engineering Profile Description Division ETS Location 0 Were seeking someone to join our team as (Associate) Data Analyst who will be who will be responsible for analysing complex datasets, generating reports, and providing actionable insights to help guide business decisions. This role will work closely with cross-functional teams, ensuring data-driven strategies are at the forefront of our initiatives. Enterprise Technology Enterprise Technology & Services (ETS) delivers shared technology services for Morgan Stanley supporting all business applications and end users. ETS provides capabilities for all stages of Morgan Stanleys software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database functions. Enterprise Computing (EC) Enterprise Computingis a department ofCore Infrastructurethat provides a collection of products and services that make up the Morgan Stanley core compute infrastructure, hosting platforms and supporting application services. Solutions are delivered across the infrastructure stack from foundational hardware platforms, storage, server operating systems and virtualization up through the hosting of common web, database, middleware and reporting services. Infrastructure Production Management & Reliability Engineering This is Associate position that maintains the stability and reliability of the organization's infrastructure systems, ensuring optimal performance and availability to support business operations. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firms global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firms infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, theres ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team thats eager to create, innovate and make an impact on the world? Read on What youll do in the role: Data Collection & Analysis: Gather, clean, and validate large datasets from various sources. Analyse trends, patterns, and insights that help in business decision-making. Reporting & Dashboards: Design and develop comprehensive reports and interactive dashboards to track key performance indicators (KPIs). Backend development using Python, Java or similar. Data Modelling & Statistical Analysis: Apply advanced statistical methods, data modelling, and forecasting techniques to identify opportunities and predict future trends. Collaborate with Stakeholders: Work closely with different business units (e.g., marketing, finance, operations) to understand data requirements and translate them into actionable insights. Data Visualization: Present complex data in clear, visually appealing ways using data visualization tools. Database Management: Maintain and update databases, ensuring data integrity and availability. Automation: Automate routine data extraction, reporting, and analysis processes for efficiency. Ad-hoc Analysis: Provide ad-hoc analysis and insights as requested by management and business leaders.
