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Sas R Jobs in New York (NOW HIRING)

Proficiency in statistical software such as Stata, SAS, R, and SPSS. * Effective communication and collaboration skills. * Ability to work independently and as part of a team in a fast-paced ...

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 ...

Risk Manager I (US)

New York, NY · On-site

$91K - $136K/yr

Familiar with various analytical or reporting tools, such as SAS, R, Matlab Tableau, etc. * Strong analytical and problem solving skills are required to interpret data and draw conclusions

Principal IT Data Scientist

Newark, NJ · On-site

$100 - $140/hr

Demonstrated experience in applying machine learning techniques and algorithms using common data science toolkits such as SAS, R and Python, using query languages such as SQL, applying statistics ...

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 Aug 10, 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 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.

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 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 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.
Infographic showing various Sas R job openings in New York as of August 2026, with employment types broken down into 51% Full Time, 47% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $111,514 per year, or $53.6 per hour.

$40/hr

Contractor

Re-posted 10 days ago


Job description

Overview

We are seeking skilled and detail-oriented Data Analysts to join our team in a per diem role. The ideal candidate will be responsible for collecting, processing, and analyzing large datasets to identify trends, patterns, and insights that will inform business decisions. This role involves collaborating with various departments to understand their data needs, developing reports and dashboards, and ensuring data accuracy and integrity.

Responsibilities
  • Data Collection and Cleaning: Gather, clean, and preprocess datasets from various sources ensuring data integrity and quality.
  • Statistical Analysis: Conduct statistical analyses to identify trends, patterns, and correlations within the data.
  • Collaboration: Collaborate with cross-functional teams including faculty, students, and researchers to address analytical challenges and support data-driven initiatives.
  • Presentation: Present findings and recommendations to management and other stakeholders.
Qualifications
  • A Master's degree in Statistics, Mathematics, Epidemiology, Computer Science, Economics, or related fields.
  • Experience in statistical analysis and data manipulation.
  • Proficiency in statistical software such as Stata, SAS, R, and SPSS.
  • Effective communication and collaboration skills.
  • Ability to work independently and as part of a team in a fast-paced environment.
Minimum SalaryUSD $32.00/Hr.Maximum SalaryUSD $40.00/Hr.Employment Type: CONTRACTOR