Data Analyst - Associate/Vice President

  • Competitive
  • New York, NY, États-Unis
  • CDI, Plein-temps
  • Morgan Stanley USA
  • 17 déc. 17 2017-12-17

Data Analyst - Associate/Vice President

Morgan Stanley Research is committed to being an essential part of our clients' investment process. We strive to be the sell-side research provider that best understands the buy side. Through relevant and timely conversations with leading investors, we focus resources on risk-reward essentials: identifying the investor debates, assessing the potential outcomes, and uncovering the evidence our clients need to validate their investment decisions. Our equity analysts cover some 3,300 stocks; our economists, strategists and fixed income analysts cover all major regions and other asset classes around the globe.

Description
The Data Management Organization (DMO) is leading the charge on data strategy and management in MS Research. Given the growing strategic importance of data, the Research DMO is a key enabler to both the "Offence" (generating new commercial opportunities) and "Defense" (ensuring proper data use and risk management).

The group is seeking an entrepreneurial Data Analyst with previous experience in advancing a data strategy for a firm/division. The role is dynamic, fast paced and interacts with multiple stakeholders. The Data Analyst will work closely with SMEs and data owners to analyze data, ensure data governance and data quality standards are in place, look for efficiencies in the business process and work with our technology partners to implement solutions.

Responsibilities would include:
• Influence the design of data quality standards and governance processes
• Implement and enforce Data Quality Management practices across Research including metadata, lineage, data access rights and business definitions
• Perform root cause analysis on critical data quality issues, work with technology and SMEs on defining a solution and help implement the solution
• Design and report on data quality and usage metrics
• Complete large scale data analysis, document findings and reconcile across data stores
• Support the data analysis required to place data into a shared platform for consumption by others, requiring detailed reviews with the business owners and identify the use of data and understand calculations and derivations
• Partner with technology to understand where data already exists in the shared platform and ensure that data is not duplicated
• Explore and evaluate new concepts, technologies and industry trends related to data analytics

Technical Qualifications
• Experience in data quality management
• Experience with using data profiling tools to query the data, identify anomalies, gaps and issues
• Experience manipulating and analyzing large-scale data sets, performing root cause analysis, driving data and business requirements
• Experience in scripting (Python, Perl, JavaScript, Shell)
• Experience working BI reporting tools is a plus
• General awareness of data management practices, emerging trends, and issues



Qualifications:

Required
• Degree specialized in a Science, Technology, Engineering, Mathematics discipline or equivalent work experience
• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data environments)
• Excellent analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutions
• Comfortable working in a large organization with a broad set of stakeholders across various functions (ie., Business, IT, Operations)
• Proven track record of answering business questions using a quantitative, data-driven, analytical approach
• Excellent verbal and written communication skills presenting complex analytical results to technical and non-technical audiences
• Team-oriented and able to resolve conflicts, as necessary
• Ability and desire to work in a start-up paced environment and culture
• Excellent communication skills