Morgan Stanley

Digital Data Analyst

Remote Budapest, Hungary
R SQL
Description

We offer:


 
•    Join a best-in-class team that brings ideas, innovation and passion 
•    Work directly with senior management from various business units
•    The ability to grow and shape your own career 
•    Collaborative creative environment
•    Working on real business problems
•    Contingent/Leased assignment working onsite at Morgan Stanley
•    Contract via 3rd party agency

You will:

•    Create, implement, and manage survey initiatives with primary focus on programming surveys, data collection and synthetization
•    Design surveys for distribution to clients, prospects, employees, and vendors
•    Build data visualizations for reporting to senior management and the survey requesting business units
•    Create data queries to generate survey distribution lists that capture statistically significant responses
•    Pair survey results with internal data for studies and reporting
•    Participate in governance and monitoring of execution of strategic surveys across Morgan Stanley Wealth Management
•    Establish strong work relationships with team members across Wealth Management functions to support strategic initiatives

You have:

•    0-3 years of business analytics experience or experience with digital tools
•    Highly motivated, detail-oriented self-starter personality with a strong sense of ownership, willingness to learn, high degree of curiosity and desire to succeed
•    Advanced written and verbal communications in English
•    Strong analytical mindset
•    Strong sense of identifying priorities
•    The ability to handle multiple tasks and projects concurrently
•    Strong problem-solving skills with the ability to determine business partner needs and create purpose built solutions
•    The ability to work collaboratively across multiple business units, teams job functions and geographical locations
•    At least Bachelor’s Degree 

You preferably have:

•    Hands on experience utilizing digital tools, survey platforms (Qualtrics, Medallia, Confirmit, Adobe Analytics, Power BI, Google Analytics, etc.)

You might also have:

•    Data visualization experience (Tableau, QlikView etc)
•    Experience with SPSS, R, SQL, DataIku


Team Profile: 


The User Experience Data Collection Team is part of the Wealth Management Analytics & Data Organization at Morgan Stanley.  The team drives strategy and execution of platforms that collect quantitative and qualitative data about user experience across Wealth Management properties and activities. The team’s responsibility is to support Wealth Managements strategic objectives through the use and exploitation of its data and analytical assets and manage digital surveys across business units throughout Morgan Stanley Wealth Management.

About us: 


Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services. 
At Morgan Stanley Budapest, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas, including Technology, Mathematical Modelling, Finance, Risk Management, Wealth Management, and Data & Analytics from our state-of-the-art offices near the Danube and our City Gate office in the heart of the city centre. 
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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