The company was formed in 2003 and quickly established itself as an EAI and ERP specialists. The company attracted a number of integration experts and software developers and transitioned towards software development and e-commerce integration. A number of organizations nationwide have chosen Epcilon's solutions to date, because of our experience and insight into the challenges of EAI implementations.
Epcilon is focused on providing comprehensive consulting services in the areas of Enterprise Application Integration (EAI), Business Intelligence, Service Oriented Architecture and Enterprise Resource Planning (ERP) Epcilon leverages a refined global recruiting and technical resource management process to deliver upper echelon consultants who leverage deep project experience and keen understanding of the real-world, complex business challenges that drive today’s technology projects.
To establish Epcilon as a top notch consulting services vendor in EAI, ERP, and BI areas by year 2010.
Dedicated management team with a cumulative experience of over 50 years in developing and deploying software solutions across the world and for organizations of varied size, from start-ups to Fortune 1000 companies.
Data Analyst : New York, NY
11/7/2016 6:07:26 AM
Bachelor's degree in a quantitative discipline (e.g., statistics, economics, mathematics, marketing analytics) or significant relevant coursework
1-3 years' professional experience with data mining, segmentation, and/or predictive modeling using large, marketing databases
Demonstrated proficiency in SAS/SQL programming; minimum 2 years
Working knowledge of MS Office; including PowerPoint, Word, Excel and Outlook
Strong analytic thought process and ability to interpret findings
Ability to work on multiple assignments concurrently
Excellent verbal and written communication skills
Highly motivated and collaborative team player with strong interpersonal skills
Acute attention to detail (QA/QC)
Effective organization and time management skills
Advanced degree (Master's/PhD) in Statistics, Economics or other quantitative discipline
Database marketing experience/knowledge
to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies