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Business Analyst - Baltimore MD
Ref No.: 17-01039
Location: Baltimore, Maryland
Job Title : Business Analyst
Location : Baltimore MD
Rate : DOE
Position Type : 6 months Contract
Interview : Phone

US Citizen, Green Card and GC EAD preferred.

Job Description

  • A business analyst in a financial services / asset management industry
  • Working knowledge of SQL for basic and advanced data analysis, data verification, and ad-hoc reporting
  • Thorough understanding of ETL methodology, security requirements, and capabilities of the front-end delivery products.
  • Thorough understanding of BI platforms, such as Spotfire, QlikSense, Microstrategy, SAP Busines Objects
  • Understanding of data models, particularly for warehouse and analytical systems
  • A very strong understanding of the specific business processes being addressed, along with the ability to bridge the gap between the business community and the technical community.
  • Excellent analytical skills – able to analyze and solve problems. Ability to accurately identify, document and recommend solutions to complex business problems. Excellent research and information gathering skills
  • Demonstrated experience in advanced strategic business visioning and planning skills.
  • Demonstrated ability to develop alternative solutions to the most complex problems and recommend the best solution to the business and project team
  • Provide detailed analysis, design, testing, implementation and documentation of the data warehouse, data marts, and business intelligence systems
  • Provide expertise in data analysis in the areas of reporting, data warehouse, data mart, and business intelligence
  • Must be able to meet with clients of varying levels to gather, document, and analyze system specifications and requirements, work closely with developers and testers in the fast-paced environment.
  • Possesses ability to use effective facilitation skills and techniques to effectively influence with clients at various levels in the organization IV.

Preferred Qualifications
  • Exposure to Cloud Platforms, such as AWS, Azure
  • Experience in the Asset Management Industry
  • Experience with predictive modeling and data mining techniques