SAS Developer

1 day ago

Singapore COMBUILDER PTE LTD Full time
Roles & Responsibilities

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-driven solutions.
  • Develop and maintain SAS-based dashboards and reports.
  • Ensure data quality, accuracy, and compliance with organizational standards.
  • Optimize SAS processes for improved efficiency and performance.
  • Provide support and training to teams on SAS best practices and analytics.

Required Skills & Qualifications:

  • Bachelor's/Master's degree in Statistics, Computer Science, Data Science, Mathematics, or a related field.
  • Hands-on experience in SAS programming (SAS Visual Investigator, SAS Macros, SAS SQL, SAS Enterprise Guide, SAS Viya 3.5 with SAS Studio, SAS Data Integration Studio, SAS 9 Programming).
  • Strong 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, Teradata, Hadoop, etc.).
  • Ability to analyze 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.

The following experience is a plus:

i. SAS Visual Analytics

ii. Python Programming

iii. SAS Text Analytics

iv. Natural Language Processing

v. Experience in Fraud Management

Preferred Qualifications:

  • SAS certifications (e.g., SAS Certified Advanced Programmer, SAS Data Scientist, etc.).
  • Experience in financial services, healthcare, retail, or other data-driven industries.
Tell employers what skills you have

Tableau
SAS Programming
Teradata
Oracle
Statistical Modeling
Natural Language Processing
Hadoop
Data Integration
Data Quality
gather requirements
SQL
Text Analytics
Predictive Modeling
Data Science
Business Process
Python Programming
Visual Analytics
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