SAS Analyst
Listed on 2026-02-12
-
IT/Tech
Data Analyst, Data Scientist, Data Mining, Data Security
Direct message the job poster from Sibitalent Corp
Sr. Staffing Specialist || Hiring IT professional all over USA ||Job Title: SAS Quantitative Analytics Specialist
Location : Charlotte- NC
- Hybrid role
Duration : 12 months + potential extension or conversion to FTE
Client :
Wells Fargo
Employment Type: W2 only
Job
-1
*** WE DO VISA TRANSFERS
*** will transfer visa & process GC
Job Description:
We are seeking a Quantitative Analytics Specialist with a strong foundation in SAS programming and statistical analysis to support our analytics initiatives. The ideal candidate will have hands-on experience with advanced SAS coding and SQL, as well as unit testing and code review, particularly in a financial or data-driven environment.
Key Responsibilities:
- Develop, maintain, and optimize SAS code for analytical modeling and reporting tasks.
- Conduct unit testing and perform code reviews to ensure accuracy and reliability of statistical code.
- Work with large data sets to extract insights, identify patterns, and support business decision-making.
- Use SQL in conjunction with SAS to manipulate and query relational databases.
- Collaborate with cross-functional teams including data scientists, business analysts, and IT to deliver actionable insights and data solutions.
- Ensure that analytical processes follow best practices, governance, and regulatory requirements.
Required
Skills & Experience:
MUST HAVE
- 5+ years of experience in unit testing and code review in SAS.
- Strong hands-on experience with Advanced SAS, including SAS Macros and data manipulation.
- Proficiency in SAS/SQL coding.
- Solid understanding of data structures, statistical methods, and relational databases.
- Strong problem-solving skills and attention to detail.
- Excellent written and verbal communication skills.
Preferred Qualifications:
- Experience in a financial services or regulated industry.
- Background in quantitative analytics or data science.
- Knowledge of other analytical tools or programming languages (e.g., R, Python) is a plus.
Education:
Bachelor's or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Seniority level- Seniority level
Mid-Senior level
- Employment type
Contract
- Job function
Information Technology - Industries
IT Services and IT Consulting
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