2

Sas R Python Entry Level Jobs (NOW HIRING)

Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI, Tableau, R Shiny) * Public health or CDC program support experience * *NOTE: Must be able to ...

Experience with statistical analysis software, e.g., SAS, R, Python, etc. * Experience with psychometric analysis software, e.g., WINSTEPS, IRTPro, Parscale, MPlus, etc. * Proficiency with Microsoft ...

Develop, maintain, and troubleshoot scripts and programs in SAS, R, and Python to support ongoing analytical workflows and business requirements. * Issue Resolution & Technical Support: Act as the ...

New

$90 - $140/hr

Develop, maintain, and troubleshoot scripts and programs in SAS, R, and Python to support ongoing analytical workflows and business requirements. * Issue Resolution & Technical Support: Act as the ...

New

... SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions. • Define ...

... SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions. • Define ...

Python, R, SQL, Scala, C++ Machine Learning: Deep Learning, NLP, Computer Vision, Predictive ... Professional o Python (Entry Level / Associate / Professional) Apply Now Refer to a Friend ...

New

Has intermediate skill in using at least one such tool. • Familiar with data and statistical programming languages (such as SQL, SAS, R and Python). Basic programming skills. Ability to interpret ...

Showing results 21-40

Sas R Python Entry Level information

See salary details

$8

$54

$77

How much do sas r python entry level jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for sas r python entry level in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.

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

AspectSas R Python Entry LevelData Analyst
Required SkillsBasic knowledge of SAS, R, Python, data manipulationData analysis, visualization, SQL, Excel
Work EnvironmentData analysis teams, analytics departmentsBusiness units, analytics teams
CertificationsEntry-level certifications in SAS, R, PythonNone mandatory, often preferred certifications in data analysis

Both roles involve data handling and basic programming skills, but Sas R Python Entry Level focuses more on learning specific tools, while Data Analysts often work on broader data interpretation and reporting tasks.

More about Sas R Python Entry Level jobs

What are the most commonly searched types of Sas R Python jobs?

The most popular types of Sas R Python jobs are:

What states have the most Sas R Python Entry Level jobs?

States with the most job openings for Sas R Python Entry Level jobs include:

What job categories do people searching Sas R Python Entry Level jobs look for?

The top searched job categories for Sas R Python Entry Level jobs are:

Infographic showing various Sas R Python Entry Level job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.

Healthcare Data Analyst (On-Site in Lafayette, LA)

FMOLHS

Lafayette, LA • On-site

Full-time

Re-posted 16 days ago


Job description

This role will be located on-site in Lafayette, LA.

The Healthcare Data Analyst 2 plays a crucial role in analyzing and interpreting complex health data to help improve patient outcomes, operational efficiency, and overall healthcare delivery within our health system. The ideal candidate will have advanced analytical skills, a strong understanding of healthcare data, and the ability to work collaboratively with various stakeholders across the organization.

Education: Bachelor's degree in Health Informatics, Data Science, Statistics, Public Health, Business/Healthcare Administration or a related field.

Experience: Minimum of 3 years of experience in healthcare data analysis or a related field including internship.

Technical Skills: Proficiency in data analysis tools and software, such as SQL, SAS, R, Python, or Tableau. Strong understanding of electronic health records (EHR) systems, healthcare databases, and data standards (e.g., ICD-10, CPT codes).

Analytical Skills: Advanced analytical and problem-solving skills. Ability to interpret complex data sets and provide meaningful insights.

Communication Skills: Excellent verbal and written communication skills. Ability to present data findings clearly and concisely to non-technical stakeholders.

Attention to Detail: Strong attention to detail and commitment to data accuracy and quality.

Team Player: Ability to work effectively in a collaborative, team-oriented environment.

Data Analysis and Reporting: Perform advanced data analysis to support clinical and operational decision-making. Generate comprehensive reports and data visualizations to communicate findings effectively.

Data Management: Ensure the accuracy, integrity, and security of healthcare data. Manage data extraction, transformation, and loading (ETL) processes.

Performance Metrics: Develop and monitor key performance indicators (KPIs) to assess the effectiveness of clinical and operational processes. Provide actionable insights to improve performance.

Research and Evaluation: Conduct research and evaluation projects to assess the impact of healthcare interventions and programs. Collaborate with clinical and administrative teams to design and implement studies.

Compliance and Standards: Ensure compliance with relevant regulations, standards, and best practices in healthcare data management and analysis.

Collaboration: Work closely with IT, clinical, and administrative teams to identify data needs and provide analytical support. Participate in cross-functional projects and initiatives.