Data Analyst
Budapest Millennium Tower II, Hungary
Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.We're seeking someone to join our team as a Data Analyst to work alongside the Data Analytics lead to develop analytics, dashboards and insights within specific coverage are of Internal Audit.
In the Internal Audit division, we provide senior management an objective and independent assessment of the Firm’s internal control environment for risk management and governance. This is an Analyst level position within our Technical Specialist function, which is responsible for providing extensive subject matter expertise and reinforcing the ability of business and technology audit teams to appropriately assess risk and determine and execute coverage.
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:
Be Data Curious - Analyze large and complex data sets to produce compelling insights and identify trends and outliers
Work with the Data Analytics lead and other stakeholders to establish project objectives
Define detailed requirements including business rules and data acquisition needs
Collaborate with stakeholders to develop user-friendly dashboards and visualization tools
Develop processes and scripts to Extract, Transform and Load (ETL) data
Perform ongoing dashboard maintenance, including conducting data quality reviews
Collaborate with stakeholders to develop user-friendly dashboards and visualizations
Collaborate with a wide range of internal stakeholders to build effective working relationships and to execute on team deliverables
Effectively manage multiple deliverables while delivering high-quality work
Opportunities to utilize data analytics solutions and tools in Internal Audit
What you'll bring to the role:
At least 2+ years' of relevant experience would generally be expected to find the skills required for this role
4-year college degree in a technical discipline (e.g., Information Technology, Computing, Mathematics, Statistics, or related fields) or equivalent
Experience using SQL / Python / Alteryx, etc. to create complex queries for extracting and analyzing data
Familiarity with database design concepts
Ability to translate complex technical data concepts and language into business context
Working understanding of data protection and data sensitivity rules and best practices
Excellent communication skills - both written and oral
Experience in Internal Audit banking and capital markets would be an advantage
Knowledge and experience of AI/ML concepts and development of models would be an advantage
Extensive experience developing dashboards in Tableau, QlikView and PowerBI would be an advantage
A commitment to practicing inclusive behaviors
Willingness to solicit and provide feedback to further develop self and peers
Experience working with global teams preferred
#LI-hybrid #LI-MB1 #BPDBA
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Data Analytics Data quality ETL Machine Learning Mathematics Power BI Python QlikView SQL Statistics Tableau
Perks/benefits: Flex hours
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