Salary
💰 $80,500 - $149,500 per year
Tech Stack
AWSAzureCloudETLGoogle Cloud PlatformOraclePostgresPythonSQLTableau
About the role
- Design and implement robust data pipelines using SAS Viya and SAS Data Integration Studio
- Lead migration initiatives from legacy data environments to SAS Viya cloud instances
- Develop advanced SAS programming solutions (Base SAS, SAS/STAT, SAS Macros, SAS/SQL)
- Build statistical models and machine learning algorithms using SAS Enterprise Miner and SAS Visual Analytics
- Create automated ETL processes to extract, cleanse, and transform large datasets from diverse sources
- Implement data quality frameworks and governance standards to ensure accuracy and integrity
- Develop interactive dashboards and visualizations using SAS Visual Analytics and other BI tools
- Optimize data warehouse architecture and implement efficient data modeling principles
Requirements
- 5+ years of hands-on experience in data management, data engineering, or analytics
- Extensive, proven experience with SAS Viya platform including SAS Enterprise Guide and SAS Data Integration Studio
- Expert-level SAS programming skills with focus on data manipulation, ETL processes, and statistical analysis
- Strong proficiency in SQL for querying and manipulating relational databases (Oracle, SQL Server, PostgreSQL)
- Experience with data warehousing concepts, dimensional modeling, and database optimization
- Strong scripting skills (Python, R, or advanced SAS macro programming)
- Understanding of statistical analysis, data mining, and machine learning techniques
- Experience with cloud platforms (Azure required, AWS/GCP beneficial)
- Knowledge of data visualization tools (SAS Visual Analytics, Tableau, Power BI)
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SAS ViyaSAS Data Integration StudioBase SASSAS/STATSAS MacrosSAS/SQLSAS Enterprise MinerSAS Visual AnalyticsSQLPython