Jobs
Benefits & Perks
•Team events and activities
•401(k) matching
•Flexible work arrangements
•Professional development budget
•Flexible Hours
•Learning
Required Skills
JavaScript
PostgreSQL
Python
About Morgan Stanley
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.
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.
About the Role
This is a Director position that develops and maintains software solutions that support business needs.
What You'll Do in the Role
- Design, develop, and maintain interactive Power BI reports and dashboards to support business decision-making and analytics.
- Build and optimize semantic models, DAX calculations, and data visualizations for actionable insights.
- Collaborate with business stakeholders, data engineers, and analysts to gather requirements and deliver high-quality reporting solutions.
- Integrate data from various sources, perform ETL processes, and ensure data quality and consistency.
- Leverage GenAI, Copilot, and AI-driven tools to enhance reporting automation, testing, and developer productivity.
- Develop and maintain documentation for data models, report logic, and data flows.
- Conduct thorough testing and validation of reports and dashboards to ensure accuracy and reliability.
- Support end-users with training, troubleshooting, and ongoing enhancements to reporting solutions.
What You'll Bring to the Role
- 3-8 years of hands-on experience in Power BI report and dashboard development.
- Strong expertise in semantic modeling, DAX, and Power BI best practices.
- Demonstrated experience in leveraging GenAI, Copilot, or AI-based tools for reporting, automation, or testing, including automated test case generation.
- Proficiency in SQL for data extraction, transformation, and analysis.
- Experience with ETL processes, data modeling, and integrating data from multiple sources.
- Solid understanding of data warehousing and business intelligence concepts.
- Experience with automated testing and testing frameworks
Additional Skills (Good to Have)
- Familiarity with Python, Shell scripting, or other programming languages.
- Experience with workflow automation tools (e.g., Apache Airflow).
- Excellent problem-solving, analytical, and communication skills.
- Strong team player, dynamic, and eager to learn and adapt in a fast-paced environment.
- Prior experience in finance, investment banking, or related domains is a plus.
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 visit https://www.morganstanley.com/about-us/global-offices
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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