Extracts, transforms and loads (ETL) datasets from various
Creates predictive and other analytically derived models for assessing risk and detecting and preventing
Assesses overall performance, stability, and effectiveness of analytically derived
Quantifies value of new data sources, data elements, and alternative modeling
Mentors more junior analysts in areas of programming, data manipulation, and statistical and analytical
Translates high level business objectives into quantifiable analysis
Identifies and recommends new modeling and analytics
Complies with all security policies and procedures, to ensure that the highest level of system and data confidentiality, integrity and availability is maintained.
Required
Bachelor's Degree in Mathematics, Statistics, Computer Science or related field; Advanced degree
A minimum of 7 years data analytics experience in a data rich environment (or equivalent education and
A minimum of 5 years experience programming in SAS (Base SAS, SAS STAT, SAS
Advanced experience in data mining, data manipulation and data step programming
Advanced experience in designing and utilizing a wide variety of statistical modeling techniques and machine learning
Proven ability to effectively communicate findings from complex analyses to non-technical
