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Sas R Jobs (NOW HIRING)

Goldbelt Professional Services

Public Health Analyst II

$90K - $105K/yr

This requires using advanced statistical programming (e.g., SAS and R) to collect data from multiple jurisdictions cleaning data, validating the data, analyzing the data using advanced epidemiologic ...

Jobsbridge

Bigdata Architect

Redmond, WA · On-site

$71.50 - $91.75/hr

SAP HANA, HADOOP, SAS, R, SPSS Modeler to draw actionable insights to support informed decision making process for clients. Qualifications Skill : SAP HANA, HADOOP, SAS

TecTammina

Data Scientist

Redmond, WA · On-site

Company Description First IT Solutions Proficient in SAS/R Proficient knowledge of TSQL Proficient knowledge SSIS and ETL Knowledge of SSRS and SSAS Should be a developer proficient in TSQL, SSIS/ETL ...

TecTammina

Data Scientist

Redmond, WA · On-site

Company Description First IT Solutions Proficient in SAS/R Proficient knowledge of TSQL Proficient knowledge SSIS and ETL Knowledge of SSRS and SSAS Should be a developer proficient in TSQL, SSIS/ETL ...

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Sas R information

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$14

$49

$79

How much do sas r jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for sas r in the United States is $49.00, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $61.54 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.

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Sas R jobs near you
Infographic showing various Sas R job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 75% Full Time, 5% Part Time, and 18% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $101,929 per year, or $49 per hour.

Lead Analyst, Digital HEDIS & Quality Analytics - (Remote)

New York, NY • On-site, Remote

EmblemHealth
Insurance Services • 1 - 5K employees
Learn more about EmblemHealthexternal

$77K - $149K/yr

Full-time

Posted 18 days ago

EmblemHealth rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

15th of 315 rated insurance

Job description

Summary of Position
Lead the implementation of the quality department digital HEDIS strategy under the quality measurement analytics team. Lead efforts to continually improve data capabilities and quality of department analysis and reporting. Develop and implement automation of manual reporting and analysis of business implications and trends. Develop, automate, and manage the intake, use and data governance of clinical and supplemental data sources to support all HEDIS/QARR/Star metrics. Identify areas of opportunity and new data sources to support quality metrics. Work closely with quality department, IT, NCQA certified HEDIS vendor and auditors to ensure readiness for digital quality. Prepare and present analytical dashboards and data to key stakeholders to support strategic decision making.
Principal Accountabilities
  • Develop, implement, and manage reporting and reconciliation workflows and document processes.
  • Lead medical trend studies as they pertain to quality initiatives.
  • Identify data improvement opportunities through review of HEDIS/QARR/Star reports and data outputs and detecting data acquisition, capture, and system error issues.
  • Collaborate with IT and others to plan and execute digital readiness, including readiness for FHIR.
  • Engage with vendors, providers, and others to identify new sources of clinical data ingestion (e.g. data aggregators, EHRs, HIEs, etc).
  • Perform research and collection of data, including data mining and reporting, which is provided to various customers inside and outside the department.
  • Lead the development of complex and/or advanced statistical/modeling analyses of quality metrics for Medicare, State Sponsored Programs, and other populations.
  • Develop and maintain automated quality dashboards and measure profiles utilizing data visualization tools.
  • Provide analytical and technical guidance for design, development and maintenance of quality improvement and wellness initiatives. Build self-service reports to be used by the quality department.
  • Identify and analyze business problems related to quality experience of member, particularly related to how members receive care and other factors influencing the STARS rating.
  • Present analytical findings to internal business partners, leading discussions and providing delivery of further analysis.
  • Collaborate with internal quality management teams to assist on quality improvement initiatives.

Qualifications
  • Bachelor's Degree in analytical/quantitative field including healthcare management, finance, business, mathematics, engineering, applied stats/economics, or any other related fields
  • Master's Degree preferred
  • 5 - 8+ years of relevant, professional work experience (Required)
  • 5+ years of experience in managed care/healthcare analytics (Required)
  • Advanced knowledge of HEDIS and Medicare Stars, including experience working with electronic clinical quality measures and related data sources (Required)
  • Proficient in Microsoft Office (Word, PowerPoint, Excel, Access) (Required)
  • Advanced experience with relational database applications (such as SAS, R, SQL, or others). (Required)
  • Experience with improving and automating processes using programming languages/software (Python, VBA, R, SAS, C++, or others) (Required)
  • Experience with and proficient in statistical software/programs (such as SAS, R, Stata, Minitab or others) (Preferred)
  • Experience with and proficient in data visualization tools (such as Power BI, Tableau) (Required)
  • Strong communication skills (verbal, written, presentation, interpersonal) (Required)
  • Demonstrated self-starter with ability to develop projects end to end independently (Required)

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