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Data Analyst (Statistical Analysis) - Associate - Infrastructure Production Management & Reliability Engineering

Profile Description

Division

ETS

Location

0

We’re 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 Stanley’s 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 Computing is a department of Core Infrastructure that 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 Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s 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, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll 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.

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. · Bachelor’s degree in data science, Computer Science, Statistics, Economics, or a related field. · Professional experience in data analysis, with a strong background in statistical analysis and reporting.

Technical Skills: · Time Series Forecasting, Data models including Prophet, ARIMA, ETS. Deep Learning models such as LSTM, CNN or similar · Excellent working knowledge of Data Science and Analytics including Regression, Classification, Time Series Analysis etc. · Proficiency in SQL for querying databases. · Experience with data visualization tools like Jupyter Notebook, Power BI, Tableau, MS Excel or similar. · Statistical packages or programming languages for analysing datasets and API development (Python, R, Flask, Django etc.) · Strong Analytical Skills: Ability to analyse complex data and provide clear insights. · Problem-Solving: Strong critical thinking skills to solve complex business problems using data-driven approaches. · Communication: Excellent communication skills to present findings and collaborate with stakeholders · Attention to Detail: High level of accuracy and attention to detail in handling large datasets.

Preferred Qualifications: · Experience in usage of big data technology like Spark in Machine Learning model development. · Knowledge of machine learning algorithms and techniques. · Experience in Agile development practices.

Personal Attributes: · Proactive and self-motivated with a strong desire to learn and improve. · Ability to multitask and work in an agile environment and manage multiple priorities. · Strong team player with the ability to work independently.

What you can expect from Morgan Stanley

We are committed to maintaining the first-class service and high standard of

excellence that has defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect, and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise 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.

Job: *Other

Title: Data Analyst (Statistical Analysis) - Associate - Infrastructure Production Management & Reliability Engineering

Location: Non-Japan Asia-India-Karnataka-Bengaluru

Requisition ID: 3263772