ZipRecruiter

Log In

2

Entry Level Sas Internships Jobs (NOW HIRING)

All JobsSas Internships JobsEntry Level Sas Internships Jobs

Entry Level Sas Internships information

See salary details

$22K

$45K

$65K

How much do entry level sas internships jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level sas internships in the United States is $45,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $50,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Sas Internships vs Data Analyst Internships?

AspectEntry Level Sas InternshipsData Analyst Internships
Required SkillsBasic knowledge of SAS software, data management, and analyticsBasic Excel, SQL, and data visualization skills
Work EnvironmentCorporate or consulting firms, often in finance, healthcare, or techVaries across industries, including finance, marketing, and tech
CertificationsOptional SAS certifications beneficial but not requiredCertifications like Microsoft Excel or SQL helpful but not mandatory
Job FocusData manipulation, reporting, and basic analytics using SASData analysis, reporting, and insights using various tools

Entry Level Sas Internships focus on developing skills in SAS software for data management and analytics, often within corporate environments. Data Analyst Internships are broader, emphasizing general data analysis skills across industries. Both roles serve as entry points but differ in specific tools and focus areas.

More about Entry Level Sas Internships jobs
What are the most commonly searched types of Sas Internships jobs? The most popular types of Sas Internships jobs are:
What job categories do people searching Entry Level Sas Internships jobs look for? The top searched job categories for Entry Level Sas Internships jobs are:
Entry Level Sas Internships jobs near you
Infographic showing various Entry Level Sas Internships job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $45,046 per year, or $21.7 per hour.
Data Scientist

Data Scientist

Zimmerman Advertising

Fort Lauderdale, FL • On-site

Full-time

Re-posted 28 days ago

Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities

  • Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
  • Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
  • Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis
  • Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies
  • Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting
  • Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models
  • Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation
  • Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
  • Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives

Requirements

  • Bachelor’s degree in related field
  • Entry-Level and/or College Internship experience 
  • Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
  • Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations
  • Advanced knowledge of Microsoft Excel
  • General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics is preferred
  • Experience with data orchestration tools such as Annalect Omni is preferred
  • Excellent verbal, written and interpersonal communication skills
  • Ability to work independently and as part of a team
  • Ability to manage multiple projects simultaneously while meeting deadlines
  • Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.
  • Data storytelling and presentation

Required Skills
Required Experience

Apply