招聘
We're seeking someone to join our Enterprise Technology team as a Performance & Data Analytics Engineer, in Workforce Technology & Services to join our team, with a strong focus on Windows Desktop and VMware virtualization. This is a hands-on, technically demanding role that requires deep expertise in scripting, performance engineering, data analytics and system analysis.
Key responsibilities include designing and optimizing data from multiple sources, implementing robust data models, and automating processes to improve efficiency and scalability. The role focuses on enhancing system performance and data accuracy, developing dashboards to visualize key metrics, setting up threshold-based alerts, and applying machine learning and AI techniques to deliver predictive insights and continuous optimization
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 Performance & Data Analytics Engineer position at, which is part of the job family responsible for providing specialist data analysis and expertise that drive 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:
Leverage automation tools and frameworks to streamline performance testing and reporting processes.
Aggregate and analyze data from multiple sources, perform data transformation, and develop consolidated reports and dashboards to support operational and strategic decision-making.
Conduct deep-dive analysis on large datasets to identify trends, anomalies, and opportunities using SQL and Snowflake as backend technologies.
Build and maintain interactive dashboards in Power BI, Tableau, and Grafana tailored to business needs.
Ensure dashboards are intuitive, visually engaging, and deliver actionable insights.
Implement threshold-based alerting to proactively monitor key metrics.
What you'll bring to the role:
At least 4+ years' relevant experience would generally be expected to find the skills required for this role.
Relevant experience in data analysis, systems performance, and automation.
Strong background in Computer Science, with expertise in Data Analysis, Automation, AI, System Performance and statistical analysis.
Proficiency in Excel Macros, Power BI, Grafana, Tableau, and PowerShell for data analysis and reporting.
Working knowledge of SQL, Snowflake, and database connectivity.
Familiarity with performance monitoring tools such as Microsoft Perfmon, Splunk, is added advantage
Strong analytical skills with the ability to process and interpret large datasets.
Excellent coordination, communication, and documentation skills.
Bachelor's degree in computer science or related field.
Passion for continuous learning and staying current with emerging technologies.
Ability to work independently and take ownership of complex performance challenges.
#BPTECH #LI-hybrid #LI-RG1
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.
Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
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.
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About Morgan Stanley

Morgan Stanley
PublicA financial services company that offers securities, asset management, and credit services.
10,001+
Employees
New York
Headquarters
Reviews
3.5
4 reviews
Work Life Balance
3.0
Compensation
2.5
Culture
3.2
Career
3.0
Management
3.0
35%
Recommend to a Friend
Pros
Skills evaluation through business plans and projects
Direct access to senior leadership interviews
Conversational interview format
Cons
Automated resume screening system issues
Focus on formatting over qualifications
Compensation concerns and salary expectations
Salary Ranges
11,766 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
1,682 reports
$114,371
total / year
Base
$96,366
Stock
-
Bonus
$18,005
$77,808
$170,800
Interview Experience
6 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 16%
Neutral 84%
Negative 0%
Interview Process
1
Initial screening (HR/HireVue)
2
Technical rounds
3
Manager/Senior leadership interviews
4
Final round/Superday
Common Questions
Technical knowledge assessment
Behavioral questions
Role-specific scenarios
Leadership and teamwork examples
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