SAS Developer
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Must-have:PythonCI/CDAI
Nice-to-have:Data
Key Responsibilities:
- Develop,modify, and optimize SAS programs for data analysis, reporting, and visualization.
- Extract, transform, and load (ETL) data from multiple sources into SAS environments.
- Conduct statistical analysis, predictive modeling, and machine learning using SAS.
- Collaborate with business teams to understand requirements and provide data-drivensolutions.
- Develop and maintain SAS-based dashboards and reports.
- Ensure data quality, accuracy, and compliance with organizational standards.
- OptimizeSAS processes for improved efficiency and performance.
- Providesupport and training to teams on SAS best practices and analytics.
- Able to support on maintenance troubleshooting and defect fixing.
- Able to support over weekends and after hours occasionally.
RequiredSkills & Qualifications:
- Bachelor’s/Master’s degree in Statistics, Computer Science, Data Science, Mathematics, or a related field.
- Minimum 3 years of hands-on experience in SAS programming (SAS Visual Investigator, SAS Macros, SAS SQL, SAS Enterprise Guide, SAS Viya 3.5 with SAS Studio (preferred), SAS Viya 4.0, SAS Data Integration Studio, SAS 9 Programming, Python Programming).
- Expertise in data manipulation, cleansing, and validation.
- Experience with statistical modeling, regression analysis, and machine learning in SAS.
- Familiarity with database management systems (SQL, Oracle, MongoDB, Hadoop, etc.).
- Ability to analyse complex datasets and provide actionable insights.
- Experience with BI tools (Tableau, Power BI, or SAS Visual Analytics) is a plus.
- Strong problem-solving, analytical, and communication skills
- Hands-on experience with software delivery through CI/CD pipelines and production deployments.