Perform analysis on client data to provide insights, identify trends, assess product performance, establish benchmarks, etc.
Monitor the system's business performance, identify areas for improvement and assist in the identification and tracking of issues
Monitor and improve current processes
Assist clients with product performance questions
Develop predictive models to detect fraud and predict customer behavior.
Work with large datasets
Present results from these analyses to management, communicate issues to and from clients, and coordinate resolution of those issues.
Necessary skills for this position include
Experience working in an analytics position for 2+ years
Degree with coursework in statistics (MS preferred although a BS with experience will be considered)
SAS or SQL proficiency is a must (3+ years of work experience)
Python experience
Demonstrated ability to apply statistical knowledge to analyze data, identify trends, outliers, develop/evaluate predictive models, create reports, automate processes
Proficiency in PowerPoint & Excel
Good verbal and written communication skills
Ability and willingness to work with a team
Proven ability to work on time-sensitive deliverables
Additional preferred skills include
Ability to build models and utilize statistical methods such as: logistic regression, linear regression, regression trees, and other modeling technique
Ability to work with APIs, structured and unstructured data
Experience processing and analyzing large data sets
Experience with data warehouse solutions a plus (Greenplum)