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Morgan Stanley

Strategy & Analytics Analyst, Assistant Vice President

Morgan Stanley is hiring a Strategy & Analytics Analyst, Assistant Vice President in New York, United States. It pays $85k-$140k a year and Level rates it ; you can apply on Morgan Stanley.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions Snowflake, data strategy and data migration among its tools and skills.
  • Level classes it as a mid-level role.
  • Morgan Stanley has 1,200+ other open roles on Level.

AI in this role

Support Wealth Management's enterprise data strategy, cloud migration to Snowflake, and analytics modernization initiatives.

Snowflake
data-strategydata-migrationcloud-modernizationanalyticsrequirements-gathering
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

We are seeking a Strategy & Analytics Analyst to support Wealth Management’s enterprise data strategy and cloud modernization initiatives. The role will help advance the centralization of critical data domains onto Snowflake, support data migration and legacy decommission efforts, and improve the way analytics users discover, access, and consume trusted data.

The Analyst will partner with business stakeholders, Product Owners, Marketing Technology, Analytics & Data teams, data engineering partners, and governance stakeholders to intake data requests, document requirements, track delivery progress, and support roadmap execution. This individual will also help map data domains across legacy and cloud environments, maintain project documentation, prepare stakeholder updates, and contribute to process improvements that increase transparency, efficiency, and adoption.

The ideal candidate is an early-career professional with strong analytical, organizational, and communication skills, along with an interest in data platforms, Snowflake, product management, analytics, and enterprise transformation.

Responsibilities:

  • Support Wealth Management data migration, modernization, and decommission initiatives.
  • Assist with intake, documentation, and prioritization of data capability requests.
  • Translate business needs into clear requirements, user stories, and delivery documentation.
  • Track project milestones, risks, dependencies, issues, and stakeholder decisions.
  • Help document authoritative data sources, lineage, metadata, and data quality considerations.
  • Build analyses, dashboards, scorecards, and status materials to support decision-making.
  • Prepare executive-ready updates, meeting materials, and roadmap summaries.
  • Partner with business, technology, analytics, data engineering, and governance teams.
  • Support adoption through documentation, training materials, user feedback, and communication plans.
  • Identify opportunities to improve processes, automate reporting, and enable scalable analytics consumption.

Qualifications:

  • 4–6 years of experience in strategy, analytics, product support, business analysis, project management, data platforms, or technology delivery.
  • Strong analytical, communication, organizational, and problem-solving skills.
  • Ability to document requirements and translate business needs into actionable plans.
  • Familiarity with SQL, Snowflake, Tableau, Power BI, Excel, Jira preferred.
  • Understanding of data governance, data quality, metadata, lineage, and cloud data platforms preferred.
  • Financial services, Wealth Management, Marketing, or client data experience is a plus.
  • Undergraduate Degree required

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 copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Expected base pay rates for the role will be between $85,000 and $140,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

How we rate this

Strategy & Analytics Analyst, Assistant Vice President at Morgan Stanley rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data StrategyData MigrationCloud ModernizationAnalyticsRequirements GatheringSnowflake

Questions you could be asked

  1. Tell me about a project where data strategy was part of your work. What did you do?
  2. Tell me about a project where data migration was part of your work. What did you do?
  3. Tell me about a project where cloud modernization was part of your work. What did you do?
  4. Tell me about a project where analytics was part of your work. What did you do?
  5. Tell me about a project where requirements gathering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Strategy, Data Migration, Cloud Modernization, Analytics, and Requirements Gathering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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