Company
Location
Bangalore - India
Job type
Full-Time
Python Job Details
Data Analyst
Job Number:
3224773
POSTING DATE: Oct 6, 2022
PRIMARY LOCATION: Non-Japan Asia-India-Karnataka-Bengaluru
EDUCATION LEVEL: Bachelor's Degree
JOB: Data Management
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Associate
DESCRIPTION
Data Analyst
Company Profile
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.
Legal, Compliance and Governance Technology
The Legal, Compliance and Governance Technology organization provides IT support to the Morgan Stanley Legal and Compliance division. The Fraud Technology Department is responsible for detecting, preventing, notifying, and reporting on all Fraud outside and inside the firm. We provide technology solutions, consultation, controls, governance, and expertise to fraud analysts in operations and cybersecurity, define technology strategy and architecture, implement analytical, real-time, batch, and data-oriented solutions, and release custom and vendor-based solutions in partnership with other technology and business organizations across the Firm.
Job Profile
Role Summary:
The ideal candidate should have the skills listed and should be a self-driven, dedicated individual who works well in a team and thinks and acts strategically. In addition, the candidate should respond well to change and quickly pick up new concepts in an ever-moving regulatory landscape. When faced with a problem, the candidate should be able to ask questions and leverage the skill set of those around him/her. The FA Monitoring group is responsible for the prevention and investigation of abusive, manipulative, or illegal trading practices and the monitoring overall client suitability. This group identifies patterns behaviour across multiple asset classes that may be an indication of sales practice issues or suitability concerns before these can compromise the Firm's reputation or client's holdings.
Required Skills:
Maintain current state architecture, while being an active participant in discussions relating to data strategy across different teams
Collaborates with internal/external team members to architect solutions and implement enhancements to the platform
Responsible for data analysis, data profiling and data sourcing
Create and communicate an Analytics Strategy that sets the direction and describes the related activities necessary to create meaningful business and customer value Support the global team of business analysts, data SME's, data providers and developers with data subject expertise, query building and optimization
Develop a thorough understanding of the data definitions, domain values, data relationships, business rules, sources and data integration
Translate business requirements into data models and ETL design specifications -Define data quality rules, identify data issues
Partner with data providers to ensure upstream data requirements are met Coordinate and conduct impact analysis because of upstream data changes and/or issues
Write detailed data requirements and use cases
Ensure that data requirements are met by participating in testing and data reconciliation
Work with management to prioritize business and information needs
Identify and define new process improvement opportunities
Follow through with data sources on issues and resolution
Effectively troubleshoot data quality issues
Implement and refine data quality controls.
QUALIFICATIONS
Skill Set
Required Skills
The candidate should be capable of understanding and solving complex problems, have excellent communication skills and have financial services experience, preferably in the areas of investment banking and trading.
Proven working experience as a data analyst or business data analyst
Strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of information with attention to detail and accuracy
Performs thorough root cause and impact analysis; Solid analytical, profiling and troubleshooting skills
Has strong understanding of data concepts (Modeling/Design, Warehousing, ETL Development)
Must possess sound knowledge in RDBMS, SQL Queries, Indexes, Keys and Tables considering platforms, such as Apache Hadoop, Oracle, MySQL, HiveQL, and Microsoft SQL.
Knowledge in programming languages, such as R, Python, Matlab and SAS. Advanced Analytics/Data Scientist experience a plus.
Experience in data integration, conversion and migration
Excellent verbal and written communication skills, ability to work with cross cultural teams located globally
Knowledge of Microsoft Office applications (Visio, PowerPoint, Excel, Word)-Experience with ETL tools (preferably Informatica) with the ability to develop ETL design specifications and understand from the code what existing ETLs do
Knowledge of domain specific data and enterprise data
Knowledge of Autosys, Unix commands and scripting
Knowledge of Data Quality controls & implementation of DQ rules/checks preferably using an Industry standard tool
Knowledge and experience in Agile development methodology preferred.
Extensive experience documenting processes, workflows and technical specifications.
Quick learner with excellent attention to detail.
Highly motivated, flexible, proactive, and adaptable to change..
Qualifications/Criterion
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field required
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise 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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