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Sas Intern Jobs (NOW HIRING)

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Supplier Quality Intern

Newark, CA · On-site

$22 - $26/hr

RMA & Quarantine Management RMA frequency matrix RMA process for supplier caused defects Blocked parts management (Jail). Any supplier material processing pending - support quarantine techs to follow ...

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Sas Intern information

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$8

$17

$24

How much do sas intern jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for sas intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are some typical projects or tasks that a SAS Intern might work on during their internship?

As a SAS Intern, you can expect to work on data analysis projects, assist with data cleaning and preparation, and support the development of statistical reports. Interns often collaborate with data analysts and statisticians to interpret data and create visualizations using SAS software. You may also be involved in automating routine data processes or helping to optimize existing SAS programs. This hands-on experience provides valuable exposure to real-world data challenges and teamwork in a professional analytics environment.

What is a SAS Intern?

A SAS Intern is a student or recent graduate who works temporarily at an organization to gain practical experience in data analysis and statistical programming using SAS (Statistical Analysis System) software. SAS Interns typically assist with data cleaning, statistical modeling, and report generation under the supervision of experienced analysts or data scientists. This role provides hands-on training with industry-standard tools and helps interns develop skills applicable to careers in analytics, data science, and business intelligence.

What are the key skills and qualifications needed to thrive as a SAS Intern, and why are they important?

To thrive as a SAS Intern, you need foundational knowledge in statistics, data analysis, and programming, often supported by coursework in data science, mathematics, or related fields. Familiarity with SAS software, data visualization tools, and statistical analysis systems is typically required. Strong analytical thinking, attention to detail, and effective communication help interns interpret data and present findings clearly. These skills and qualities are essential for contributing to data-driven projects and supporting business decision-making.

What is the difference between Sas Intern vs Data Analyst Intern?

AspectSas InternData Analyst Intern
Required SkillsKnowledge of SAS software, basic programming, data managementExcel, SQL, data visualization, basic statistical analysis
Work EnvironmentData-focused, often in analytics or research teamsBusiness or research settings, supporting decision-making
CertificationsNone required, but SAS certifications are a plusNone required, but certifications in Excel or SQL are beneficial
Industry UsageCommon in analytics, finance, healthcareWidespread across industries including marketing, finance, healthcare

Both roles are entry-level internships focused on data handling. A Sas Intern specializes in using SAS software for data analysis, while a Data Analyst Intern works with a broader set of tools like Excel and SQL. The choice depends on the specific tools and industry focus you are interested in pursuing.

More about Sas Intern jobs
What cities are hiring for Sas Intern jobs? Cities with the most Sas Intern job openings:
What are the most commonly searched types of Sas jobs? The most popular types of Sas jobs are:
What states have the most Sas Intern jobs? States with the most job openings for Sas Intern jobs include:
Infographic showing various Sas Intern job openings in the United States as of June 2026, with employment types broken down into 18% Internship, 52% Full Time, 24% Part Time, and 6% Temporary. Highlights an 70% In-person, 6% Hybrid, and 24% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
HEOR Intern, Real-World Evidence

$20/hr

Internship

Posted 17 days ago


Job description

Essential duties include but are not limited to:
Help streamline internal processes - work directly with the Precision leadership to improve processes and efficiency; investigate optimal research techniques and implementation strategies; update existing tools and documentation to increase adherence to best practices; support development and refinement of interactive tools that use existing real-world evidence analyses.
Support ongoing research projects - assist with literature reviews on diverse healthcare topics; help with real-world evidence studies including protocol development, data programming, and results; develop interactive summaries of real-world evidence analyses; help interpret and communicate quantitative and qualitative findings to internal and external audiences; contribute to reports, results tables, presentations or peer-reviewed manuscripts; participate in client-facing activities; provide administrative project support.
Qualifications
Required:
  • Enrolled in a public health (epidemiology, biostatistics, bioinformatics), economics, data science, life sciences, or healthcare related undergraduate, or preferably, graduate program at an academic institution at the time of recruitment.

Other required:
  • Proven interest in public health, life sciences, or pharmaceutical research and analytics
  • Research experience in epidemiology, public health, health services research, health policy, economics or related fields
  • Foundational knowledge of epidemiologic concepts such as observational study designs, measures of association, and common sources sources of bias and confounding
  • Familiarity / competency with statistical programming tool such as R, SQL, SAS or similar platform
  • Ability to work effectively both individually and as part of a team
  • Detail oriented with exceptional interpersonal and time management skills
  • Keen interest in learning and sharing knowledge
  • Strong academic record
  • Proficiency with Microsoft Office

Preferred:
  • Enrolled in life sciences related advanced degree program
  • Strong understanding of the scientific method; formal training in quantitative methodologies
  • Familiarity with interactive data visualization tools such as R Shiny, Power BI, Tableau, or equivalent platforms
  • Familiarity with working in virtual AWS environment, Git, and Github

Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.
Reasonable estimate of the current range
$20- $20 USD
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.