SAS Analyst - Sibitalent : Job Details

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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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