The Senior Statistical Analyst must have strong analytical skills to provide marketing insights and develop meaningful predictive models for retail, finance, insurance and other businesses. A serious candidate must have experience in data mining, database marketing and in the evolving digital data marketing landscape.
Consultant with clients and use analytics to translate their business questions into actionable solutions.
Mentor Analysts and work closely with overseas teams.
Research emerging tools and techniques in machine learning, statistical modeling and analytics.
Develop and strengthen company’s data visualization and presentation capabilities.
Advanced degree in a mathematical discipline.
Minimum five years of practical experience in a data-driven environment with success in creating complex analytical solutions.
Independent and self-directed with strong attention to detail.
Practical experience in:
SAS Analytics Pro, SAS/ Enterprise Miner and SAS/Visual Analytics
Predictive modeling using tradition and machine learning techniques.
Robust data processing and validation routines.
Loading and extracting data from various sources.