SAS

Analytics Developer

IN-MH-Pune
Requisition ID
20018092
Job Category
Research and Development
Travel Requirements
None

Company Overview

Germany SAS

 

This is a position in Analytics area for Customer Intelligence 360

  • Analytics specialist: Doing research and development for analytics based core functionality of Customer Intelligence. Knows business analytics and predictive analytics techniques like linear methods (regression and classification), decision tree, and unsupervised techniques like clustering and basic optimization concepts. Some exposure to advanced machine learning based methods like neural networks, random forest, support vector machine etc. would be desirable. Any exposure to web analytics is also desirable.
  • Excellent problem-solving, organizational and programming skills
  • Skills in applied stats techniques, SQL skills (desirable but not essential), data analytics, knowledge of Stats tools.
  • Development experience of Cloud Native Architectures (desirable but not essential)
  • Working closely with the agile team (product management, usability analysts, and test)
  • Providing ongoing support for software in the field for the solution developed

 

Additional

  • Developing Analytical solutions using SAS technologies on the AWS platform
  • Experience with Agile, specific practices of Scrum
  • Good verbal and written communication skills
  • Ability to work independently and with a team
  • Proven track record of delivering innovative software solutions
  • Experience working with training and documentation teams
  • Experience working with Technical Support on customer related issues

 

Technology - Data Analytics, Business Intelligence, CAS, SAS

 

Requirement

  • Data Analytics, Business Intelligence, CAS, Data to decision frameworks, Stats tools and predictive analytics techniques
  • Experience with enterprise system concepts:
  •          -High availability
  •          -Real-time performance
  •          -Scalability
  •          -Security
  •          -Rolling updates
  •          -Disaster recovery
  • Experience with SAS Platform
  • Experience with integrating data from 3rd party platforms
  • 5+ Years into Predictive Modeling / Machine Learning, SAS & BI

 

Follow us on LinkedIn LinkedIn Logo

Options

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed