Overview In this role you apply predictive analytics and data management expertise to drive enterprise SAS solutions. You will work within the IT team to support and advance SAS-based analytics platforms across the organization. The role focuses on delivering reliable data, scalable SAS development, and effective release and support processes. You will collaborate with cross-functional teams to translate complex technical concepts into actionable insights. This opportunity offers impact through shaping analytics capabilities at scale within a consulting IT services environment.
Responsibilities- Lead mid-to-large SAS development projects and coordinate related activities
- Ensure data quality and effective data management across analytics initiatives
- Apply configuration, change, and release management concepts to development and administration
- Provide systems, user, and training support for enterprise software/hardware
- Communicate complex technical programs clearly and present analytics concepts to stakeholders
Key requirements- Bachelor's degree in Computer Science or related area with 10+ years of technical experience
- In-depth SAS expertise across the SAS EBI suite: Base SAS, Macros, PROC SQL, IML, SAS Enterprise Guide
- Hands-on experience with SAS Management Console, SAS EG, JMP (5+ years)
- Hands-on experience with SAS web tools, Stored Processes, Macro, Graph, Stat, OLAP Cube, Information map, SAS BI Dashboard (2+ years)
- Knowledge of Enterprise Miner and Model Manager; Base SAS coding
- Understanding of data profiling, fuzzy matching, and entity resolution
- Understanding of security, performance, server design, and cross-platform architectures
- Strong communication and presentation skills
- Ability to relay and receive information across audiences
- Collaborative and cross-functional teaming
- SAS (Base SAS, Macros, PROC SQL, IML, Enterprise Guide, Management Console, JMP, web tools, Stored Processes, Graph, OLAP, Information maps, BI Dashboard, Enterprise Miner, Model Manager)
- Data profiling, data quality and data management concepts
- Configuration, change and release management related to application development and administration
