SAS Analyst
: Job Details :


SAS Analyst

Sibitalent

Job Location : all cities,NC, USA

Posted on : 2025-08-06T01:08:04Z

Job Description :

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 Id: 192174-1

***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 levelMid-Senior level
Employment type
  • Employment typeContract
Job function
  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

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