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Sas R Jobs in New York (NOW HIRING)

Analyst

Manhattan, NY · On-site

$80 - $100/hr

Python, SAS, R, C++, Java. * Experience with Hadoop, Spark and other distributed big-data framework is a plus. #J-18808-Ljbffr

You have a sound Knowledge of SAS, SQL and other analytical tools (R, SPSS). * You've experience working in Banking, Credit Cards, Marketing Analytics, Credit Risk Modeling. * You've experience ...

Manager

New York, NY · On-site

$100K - $110K/yr

Use EXL analytics methodologies and analysis tools, such as SAS, R, SQL, Hive, Teradata, Hadoop, MS office including Excel and PowerPoint, to perform all of the following: data extraction, data ...

Showing results 21-40

Sas R information

See New York salary details

$16

$53

$87

How much do sas r jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for sas r in New York is $53.61, according to ZipRecruiter salary data. Most workers in this role earn between $37.60 and $67.31 per hour, depending on experience, location, and employer.

What is a SAS R professional?

SAS R professionals are experts who use the SAS (Statistical Analysis System) and R programming languages to analyze and interpret complex data sets. They often work in fields such as healthcare, finance, and research, performing data manipulation, statistical modeling, and reporting. Their expertise in both tools allows them to handle large data volumes efficiently and produce actionable insights for their organizations.

What are the key skills and qualifications needed to thrive as a SAS R professional?

To thrive as a SAS Programmer, strong analytical skills, expertise in statistical analysis, and proficiency in SAS programming, often supported by a degree in statistics, computer science, or a related field, are essential. Familiarity with SAS software tools, databases, and data management systems, as well as certifications like SAS Certified Base Programmer, are commonly expected. Attention to detail, problem-solving abilities, and effective communication set standout professionals apart in this field. These skills are crucial for ensuring accurate data analysis, effective reporting, and valuable insights in data-driven environments.

What are some common challenges faced by SAS R professionals when working on cross-functional analytics projects?

SAS programmers often collaborate with teams from data science, business analytics, and IT, which can present challenges such as aligning on data definitions, managing varying data sources, and ensuring clear communication of technical findings to non-technical stakeholders. Additionally, adapting SAS code to integrate with other platforms or tools (like Python or SQL databases) may require extra effort. Being proactive in clarifying project requirements and maintaining transparent documentation helps smooth these collaborative processes and ensures project success.

What is the difference between Sas R vs Data Analyst?

AspectSas RData Analyst
Required CredentialsKnowledge of SAS and R programming languages, certifications like SAS Certified Data ScientistProficiency in Excel, SQL, and statistical tools; often a bachelor's degree in related fields
Work EnvironmentTypically in analytics or data science teams within corporations, finance, healthcare, or techIn various industries including finance, marketing, healthcare, often in office settings
Employer & Industry UsageUsed by organizations requiring advanced statistical analysis and data modelingEmployers seeking data interpretation, reporting, and basic analysis skills

While Sas R specialists focus on advanced statistical programming using SAS and R, Data Analysts perform broader data interpretation and reporting tasks. Sas R roles often require specific certifications and programming expertise, whereas Data Analysts may have a more general skill set. Both roles are vital in data-driven industries, but Sas R professionals typically handle complex modeling, while Data Analysts focus on insights and reporting.

Infographic showing various Sas R job openings in New York as of August 2026, with employment types broken down into 58% Full Time, 40% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,514 per year, or $53.6 per hour.

Sr. Software Engineer (SAS Developer) at Cloud Analytics Technologies LLC Florham Park, NJ

Florham Park, NJ • On-site

$100 - $125/hr

Other

Re-posted 4 days ago


Job description

Sr. Software Engineer (SAS Developer) job at Cloud Analytics Technologies LLC. Florham Park, NJ.

Job Summary

We are seeking a skilled Software Developer with a strong background in SAS to join our dynamic team at BASF in Florham Park, NJ. The ideal candidate will have 5 7 years of experience in software development, with a proven track record of delivering high quality software solutions. This role requires a deep understanding of SAS programming and its applications in data analysis and reporting.

Responsibilities
  • Design, develop, and maintain software applications using SAS and other programming languages as needed.
  • Collaborate with cross functional teams to gather requirements and translate them into technical specifications.
  • Implement data analysis and reporting solutions using SAS to support business objectives.
  • Conduct code reviews and provide constructive feedback to team members.
  • Debug and troubleshoot software issues, ensuring timely resolution.
  • Stay updated with the latest industry trends and technologies related to software development and SAS.
  • Document software designs, processes, and procedures for future reference.
  • Participate in project planning and estimation activities.
Mandatory Skills
  • Strong proficiency in SAS programming and data manipulation.
  • Experience in software development lifecycle (SDLC) methodologies.
  • Solid understanding of database management and SQL.
  • Ability to work collaboratively in a team environment.
  • Excellent problem solving skills and attention to detail.
Preferred Skills
  • Familiarity with other programming languages such as Python, R, or Java.
  • Experience with data visualization tools.
  • Knowledge of Agile methodologies.
  • Experience in cloud computing platforms.
Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 5 7 years of relevant experience in software development.
  • Proven experience with SAS programming in a professional setting.
  • Strong communication skills, both verbal and written.
  • Ability to manage multiple tasks and meet deadlines in a fast pacedenvironment.
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