Data ModelerDirector P3Data & Analytics Engineering
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Job Location:
Monthly Salary:
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
Were seeking someone to join our team as (Director) Data Modeler who can be key architect of our Data Landscape responsible for designing developing and maintaining robust and scalable data models that support our business objectives.
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. This is a Data Modeler on the AI platform position at Associate level which is part of data & analytics Engineering job family that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines implementing data models optimizing data processes for improved data accuracy and accessibility including applying machine learning and AI-based techniques.
Morgan Stanley is an industry leader in financial services known for mobilizing capital to help governments corporations institutions and individuals around the world achieve their financial goals.
What youll do in the role:
Database design and Data Modeling experience
Strong with SQL with hands-on using Data Modeling tools like Power designer or Erwin
Experience in any one of the Database like Teradata SQL Server Hadoop Hive Snowflake etc
Understand and translate business needs into data models supporting strategic solutions.
Create and maintain conceptual logical and physical data models along with corresponding metadata.
Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
Recommend opportunities for reuse of data models in new environments.
Perform reverse engineering of physical data models from disparate databases and SQL scripts.
What youll bring to the role:
At least 5 years relevant experience would generally be expected to find the skills required for this role
Evaluate data models and physical databases for variances and discrepancies.
Validate business data objects for accuracy and completeness.
Analyze data-related system integration challenges and propose appropriate solutions.
Develop data models according to company standards.
Guide System Analysts Engineers Programmers and others on project limitations and capabilities performance requirements and interfaces.
Review modifications to existing software to improve efficiency and performance.
Examine new application design and recommend corrections as 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 thats differentiated and weve 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 - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres also ample opportunity to move about the business for those who show passion and grit in their work.
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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.
Required Experience:
Director
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
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, ... View more
