Junior Reporting Analyst (SQL)

at  Morgan Stanley

Junior Reporting Analyst (SQL)
Job Number:

3260740
POSTING DATE: Oct 16, 2024
PRIMARY LOCATION: Europe, Middle East, Africa-Hungary-Budapest-Budapest
EMPLOYMENT TYPE: Contract Consultant
JOB LEVEL: Consultant

DESCRIPTION

We offer:

• Enriching challenges that provide opportunity for constant learning and advancement
• To work with talented individuals to develop new ideas and solve some of the most complex business challenges
• A supportive and vibrant multinational environment, we accept individual differences and believe in collaborative team working
• Contingent/Leased assignment working onsite at Morgan Stanley
• Contract via 3rd party agency

You’ll do:

• Partner extensively with other teams and business partners within and outside the department (such as sales, marketing, product owners, data science and data visualization teams) to deliver business solutions and support decision making
• Liaise with Technology partners to understand the data source and suggest enhancements as needed
• Utilize proactive problem-solving and innovative thinking to address challenges
• Build, monitor and review data models and conduct analyses based on specific requirements
• Provide analytics and insight for various business initiatives and projects
• Prepare and deliver presentations to highlight important metrics and showcase achievements
• Create relevant documentation where needed
• Support campaigns data creation for the data products and work on sizing of these campaigns
• Collaborate with the broader team to merge the inputs from the machine learning models into the required analysis
• Assist in the development of Tableau dashboards and data visualizations for reporting to senior management and business users including Financial Advisors

QUALIFICATIONS

You have:

• 0-2 years data analytics experience
• Bachelor’s or higher degree in Business Management or Economics or IT or Data Science
• Tech skills: hands on experience in SQL
• Strong analytical mindset
• Strong critical thinking and problem-solving skills
• Detail oriented and ability to handle, prioritize multiple tasks simultaneously
• Passion for providing help to navigate through complex decisions for clients
• Experience in interpreting and creating data models and reports
• Excellent stakeholder management and communication skills
• Great presentation skills

You might also have:

• Background in the Financial Services Industry, with an emphasis on wealth management
• Experience working with technology teams closely
• Experience in data modelling and visualization technologies, such as: Dataiku, Alpine, Snowflake, Python, Tableau, PowerBI, QlikView, R

Team profile
The team’s responsibility is to support Wealth Management’s strategic objectives through the use and exploitation of its data and analytical assets. The team in Budapest works closely with the New York office.
About Morgan Stanley
Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services. Throughout your contingent/leased assignment working onsite at Morgan Stanley, you will be exposed to a truly international and multi-cultural environment that appreciates and respects individuality. Our state-of-the-art offices in the City Centre have been designed to maximize collaboration.
At Morgan Stanley Budapest, we are helping to shape 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, Operations and Data & Analytics

• Partner extensively with other teams and business partners within and outside the department (such as sales, marketing, product owners, data science and data visualization teams) to deliver business solutions and support decision making
• Liaise with Technology partners to understand the data source and suggest enhancements as needed
• Utilize proactive problem-solving and innovative thinking to address challenges
• Build, monitor and review data models and conduct analyses based on specific requirements
• Provide analytics and insight for various business initiatives and projects
• Prepare and deliver presentations to highlight important metrics and showcase achievements
• Create relevant documentation where needed
• Support campaigns data creation for the data products and work on sizing of these campaigns
• Collaborate with the broader team to merge the inputs from the machine learning models into the required analysis
• Assist in the development of Tableau dashboards and data visualizations for reporting to senior management and business users including Financial Advisor