Position Objective
To administer and enhance Analytics (SAS/R/Python) platform for providing high performance computing environment
Position to support SAS Grid environment with R, Python & Hadoop integration and in-house analytics applications developed by Analytics - Centre of Excellence team.
Responsibilities
- Define overall analytics platform strategy (SAS, R, Python & Hadoop) by keeping in mind future requirements
- Design scalable analytics tool architecture integrated with data warehouses and retail operational systems
- Design data architectures for warehouse and reporting marts to support analytical processes
- Lead cross-functional projects to improve data management practices
- Enhance and upgrade (Hot fix, new release, etc) SAS Grid environment to support analytics center of excellence
- Monitor and maintain SAS environment to ensure optimal system performance
- Support end user client tools like SAS Enterprise Guide, SAS Add-in for Microsoft Office, etc.
- Collaborate with IT infrastructure team and Database administrators to ensure system connectivity with data warehouses and operational systems
- Act as single point of contact with analytical tool vendors to evaluate and select software fixes/upgrades
Qualification & Skills :
- Bachelor's degree in Computer Science/Software Design, Computer Information Systems or related degree. Master's degree is preferred
- Expert in SAS tool administration and end-user management
- Strong design and architecture skills
- Expert knowledge of SAS products/architecture and SDLC processes
- Expert in drafting SLA and governance model for system usage
- Proficient in Linux or Unix operating system administration concepts
- Proficient in database design and data management concepts
Experience :
- 4-6 years of overall IT experience in BI tools management
- 2+ years of SAS software installation/architecture experience and 3+ years of SAS administration experience
- Experience with Analytics platforms (ex. SAS), Visualization tools (ex. Qlik), SQL databases (ex. Oracle) and OLAP technologies
- Experience with MPP databases (ex. Netezza) and ETL tools like Informatica is preferred
- Exposure to application security technologies and approaches
- Successfully organized and led projects for SAS implementation in large organizations
- Ability to work closely with user group to resolve current issues
- Ability to predict future enhancements necessary based on the usage pattern
- Ability to work in a fast paced and dynamic work environment
- Passion for technology and willingness to learn
- Knowledge of retail industry and its BI and analytics needs
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