Data Analytics Associate – Business Unit Management | Morgan Stanley Careers
Are you ready to take your career to the next level as a data analytics associate at one of the world’s leading financial institutions? Morgan Stanley invites talented, analytical, and tech-savvy professionals to join its Business Unit Management team as a Data & Analytics Associate. This role is an exceptional opportunity for candidates who are passionate about turning data into actionable insights that drive global business decisions.
About Morgan Stanley
Morgan Stanley is a global leader in investment banking, securities, wealth management, and investment management services. With offices in more than 40 countries, the firm’s mission is to help clients achieve their financial goals through innovation, integrity, and expertise. At Morgan Stanley, employees are encouraged to think strategically, work collaboratively, and innovate constantly.
Joining the firm as a data analytics associate means becoming part of a high-performing culture where data drives every decision and where your insights can shape the direction of global business units.
About the Role: Data Analytics Associate – Business Unit Management
As a data analytics associate in the Business Unit Management division, you’ll play a critical role in supporting decision-making and performance management across multiple teams. You will collaborate with business leaders, technology partners, and analytics professionals to design, build, and deliver powerful data-driven solutions.
Your primary goal will be to use data analytics and visualization tools to optimize operations, improve efficiency, and uncover opportunities for business growth.
Key Responsibilities
As a data analytics associate, your day-to-day responsibilities will include:
- Data Reporting & Visualization:
Design and maintain Power BI dashboards, reports, and data models that provide key insights into financial performance, headcount, and strategic initiatives. - Data Management:
Work with large datasets from multiple sources using SQL, Snowflake, and Python to ensure data accuracy, completeness, and integrity. - Business Insights:
Partner with senior stakeholders to translate complex business requirements into clear, actionable data solutions that enhance performance tracking and forecasting. - Automation & Efficiency:
Implement automation scripts and analytics workflows to reduce manual tasks and increase reporting efficiency. - Predictive Analytics:
Use statistical analysis and machine learning tools to forecast trends, identify risks, and uncover opportunities across business units. - Cross-Functional Collaboration:
Work closely with finance, operations, and technology teams to align business objectives with analytics initiatives. - Process Improvement:
Recommend and develop strategies to improve reporting tools, analytics capabilities, and overall business performance.
Required Skills and Qualifications
Morgan Stanley is seeking a results-driven data analytics associate who combines strong analytical expertise with solid business understanding. Ideal candidates should have:
- A Bachelor’s or Master’s degree in Computer Science, Data Analytics, Statistics, Economics, or a related field.
- 3–6 years of experience in data analytics, business intelligence, or data management.
- Strong hands-on experience with Power BI, including DAX, data modelling, Power Query, and interactive dashboards.
- Proficiency in SQL or Snowflake for querying, data manipulation, and report generation.
- Familiarity with programming languages like Python or R for advanced data analysis.
- Experience working with large datasets and multiple data sources.
- Strong communication and presentation skills for conveying insights to non-technical audiences.
- The ability to manage multiple projects and deliver in a fast-paced, deadline-driven environment.
Additional experience with data governance, machine learning, or cloud data platforms is an added advantage.
Why Join Morgan Stanley as a Data Analytics Associate?
1. Impactful Work
As a data analytics associate, you’ll work on projects that directly influence the firm’s strategic direction. Your insights will help senior leaders make data-backed decisions that shape business outcomes globally.
2. Collaborative Environment
Morgan Stanley values collaboration. You’ll partner with experts from diverse departments—finance, operations, technology, and management—gaining exposure to multiple aspects of the business.
3. Career Growth Opportunities
Morgan Stanley invests heavily in employee learning and development. As a data analytics associate, you’ll have access to internal training programs, mentorship opportunities, and career pathways that lead to senior roles in analytics, data science, or business strategy.
4. Global Exposure
You’ll be part of a global analytics community, working on international projects that enhance your professional reach and perspective.
5. Commitment to Innovation
Morgan Stanley continues to adopt cutting-edge technologies, including artificial intelligence (AI), machine learning (ML), and cloud analytics. This ensures that you, as a data analytics associate, stay at the forefront of industry advancements.
Personal Qualities for Success
Beyond technical expertise, Morgan Stanley values individuals who demonstrate:
- Analytical Thinking: Ability to turn raw data into meaningful insights.
- Problem-Solving: Eagerness to find innovative solutions to business challenges.
- Attention to Detail: Precision and accuracy in data reporting.
- Adaptability: Capability to thrive in a dynamic and evolving environment.
- Communication: Strong ability to present complex data in simple, business-friendly terms.
If you possess these attributes, you’ll fit perfectly into the culture of excellence and integrity that defines Morgan Stanley.
A Day in the Life of a Data Analytics Associate
A typical day might include gathering data from various business units, refining and cleaning it, building a Power BI dashboard to visualize monthly financial performance, and presenting insights to management. You might also collaborate with technology teams to automate data pipelines or test new analytics models designed to forecast business trends.
Each day offers opportunities to learn, innovate, and contribute directly to the success of a global financial powerhouse.
Location and Work Culture
The data analytics associate role may be based in one of Morgan Stanley’s key global offices, offering a hybrid working model that promotes flexibility and collaboration. The company’s inclusive culture ensures every employee feels valued, respected, and empowered to achieve their best.
How to Apply
If you are a driven professional passionate about data analytics, business insights, and transformation, Morgan Stanley encourages you to apply for this Data & Analytics Associate – Business Unit Management role today.
Visit the official Morgan Stanley Careers website to explore this opportunity and submit your application.
Apply here
Conclusion
Becoming a data analytics associate at Morgan Stanley means more than just analyzing data — it means driving the future of business decisions with intelligence, innovation, and impact. This role offers a blend of technical challenge, professional growth, and the satisfaction of influencing one of the most respected financial institutions in the world.
If you’re ready to combine your analytical skills with a career that makes a difference, this is your moment to join Morgan Stanley’s Data & Analytics team and redefine what’s possible with data.
👉 Join now and start building your first project today!
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