About the position
The SAS Programmer Analyst position is focused on developing and implementing data solutions for Medicaid's Care Management and Encounter Processing systems. The role requires expertise in SAS programming, data visualization, and analytics to support the design of data conversion strategies and reporting solutions. The analyst will work closely with business users and stakeholders to ensure that complex business requirements are met through effective data management and reporting processes.
Responsibilities
- Identifying data sources and data elements to meet business requirements
- Creating and supporting automated data extracts and interface processes
- Creating extract files, reports, analytics dashboards
- Modifying existing processes to meet business requirements
- Designing, developing and testing solutions that meet complex business requirements
- Working with business users to understand requirements
- Working independently and collaboratively with other team members and stakeholders at all levels of the organization, external agencies, CMS, VITA and vendors
- Working on multiple assignments concurrently and meet important target dates
Requirements
- Experience with SAS Enterprise Guide, visual analytics for data analysis and reporting
- Experience with data architecture, data integration, data visualization, reporting, and process automation
- Experience with SAS (programming), R, PL/SQL
- Experience with Oracle, DB2, MS SQL Server
- Experience with ETL tools, Business Analytics tools
- Demonstrated ability to design, develop and test solutions for complex solutions that meet user and agency requirements
- Development experience using Software Development Life Cycle methodologies
- Experience communicating verbally and in writing with technical colleagues and business users
- Experience providing accurate estimates of effort and duration to complete assignments
- Experience creating documentation to include technical design, flow diagrams, test results and user documentation
- Experience working with SAS scheduler
- Experience creating CI/CD pipelines and software build automation in one or more platforms (Jenkins, Azure DevOps, AWS CodePipeline)
- Experience with GIT version control software and GIT workflows
- Experience with Data Warehousing, ETL Architecture, Business Intelligence, Data Modeling, Data Governance
- Experience with Production Support and issue resolution
- Experience with MongoDB
- Experience with SAS Viya
- Experience with SAS Administration
- Experience with Qlik
- Working knowledge of JSON, XML, multi-schema files, parquet, etc.
- Experience with Talend
