Quantitative Data Analyst (New York, NY)

Essential Functions (Responsibilities):

Learn our company’s business model and understand the key performance indicators relevant to our internal operations as well as the environment in which we operate. Learn the types of analysis used by executive management to support mission critical decisions, expand on the model and develop new analytic techniques to forecast business performance and risk, and relate performance to a myriad of variables, some of which is controlled internally and some of which are external. Using SQL, OLAP, BI techniques and various adjunct tools, implement and maintain these models as live reports that will support performance analysis, attribution analysis and forecasting. Create live and provably accurate models that can be used to reliably support real-time multi-million dollar decisions. Develop visual representations of complex data and relationships that convey key information succinctly and unambiguously, ensuring that the methodology and assumptions used to develop the output are clearly documented, accurate and repeatable.

Qualifications/Requirements:

• Bachelors degree required (advanced degree preferred) in a field related to data analytics or financial analysis; top school with evidence of excellent scholarship
  
• Formal training and hands-on experience in financial modeling and analytics
  
• Experience developing multivariate seasonality-adjusted time-series based forecasting models for use in real-world business
  
• Proficiency in Excel using pivot tables, v-lookup, macros, statistical functions, etc.
  
• Strong SQL and relational database skills, with the ability to understand data design and data structures and develop the queries and processes necessary to translate analytical model concepts into live reports
  
• Knowledge of SQL reporting services and OLAP cubes preferred
  
• Statistical analysis and Decision tree experience and skills
  
• Experience with tools such as SAS, SPSS and Knowledge Seeker preferred
  
• Demonstrate strong analytical, creative and problem-solving skills
  
• Able to effectively communicate with top management, peers and end users
  
• Ability to focus on improving quality and flow of data
  
• Strong verbal and written communications skills
  
• Strong ability to be organized, manage time and handle multiple tasks/projects and priorities in a very dynamic environment.
  
• Results and deadline-driven with a positive attitude
  
• Ability to work independently or as a team member
  
• Self-directed, self-motivated and highly dependable
  

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