Identify, analyze, document and interpret trends or patterns in complex business processes using data analysis software and techniques.
Analyze large data sets to facilitate management reporting. Data analysis activities may include data cleansing and transformation, developing trend reports and forecasts, and bench marking results against competing data sets.
Analyze and document complex business processes and technical problems that result in development and implementation of end-user computing applications.
Support the development of business requirements and completion of software testing activities associated with the delivery of applications and financial models to clients.
Interpret and communicate results of data analysis and model output to clients accurately and effectively.
Support analysis related to client business problems using valid statistical methods and tools.
Qualifications
Strong academic record (3.3 GPA out of 4.0) from top university with degree in Finance, Statistics, Economics, Engineering, Applied Mathematics, Physics, Information Management Systems or Computer Science.
3 - 5 years of work experience, with an interest in finance.
Proficiency in Microsoft Office Applications. Experience developing reports, models or applications in Excel VBA. (skills assessment required).
Experience working with data sets in mySQL or other databases.
Experience with R or Python for data manipulation.
Experience with data visualization software such as Qlik, Tableau, or PowerBI preferred, but not required.
Ability to thrive on multiple projects/tasks at one time. Must be detail-oriented and enjoy aspects of research and finance analytics.