27 Jul
Data Analyst
Vacancy expired!
- 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.
- 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
- 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)
- Experience working with Azure / AWS
Vacancy expired!