For data analysis, we are open to experience with STATA, SAS, R, SPSS; experience with Python is also helpful (but not required). Experience with grant writing is a plus, as the Center seeks ...
For data analysis, we are open to experience with STATA, SAS, R, SPSS; experience with Python is also helpful (but not required). Experience with grant writing is a plus, as the Center seeks ...
SAS, R, Python), databases and graphics packages. * Forecast and manage statistical effort necessary to support research studies and projects within CIBMTR programs. * Oversee development of the ...
SAS, R, Python), databases and graphics packages. * Forecast and manage statistical effort necessary to support research studies and projects within CIBMTR programs. * Oversee development of the ...
Data Analyst, Sr
Evansville, IN · On-site
$82K - $103K/yr
SQL, SAS, R, Python, etc. • 5+ years' experience in Data Visualization • Experience integrating multiple components of the Microsoft Fabric / BI Stack, with specific emphasis on Power BI, Power ...
Data Analyst, Sr
Evansville, IN · On-site
$82K - $103K/yr
SQL, SAS, R, Python, etc. • 5+ years' experience in Data Visualization • Experience integrating multiple components of the Microsoft Fabric / BI Stack, with specific emphasis on Power BI, Power ...
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Data Scientist-Direct Hire
Indianapolis, IN · On-site
$74K/yr
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Data Scientist-Direct Hire
Indianapolis, IN · On-site
$74K/yr
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis;
Sas R Python Internship information
What is a SAS R Python Internship?
A SAS R Python Internship is a temporary position designed for students or recent graduates to gain hands-on experience using statistical analysis and programming languages, specifically SAS, R, and Python. Interns typically work on data-driven projects, helping organizations analyze large datasets, develop predictive models, and automate data processes. This type of internship is common in industries like finance, healthcare, and tech, and is ideal for individuals interested in data science, analytics, or programming careers.
What is the difference between Sas R Python Internship vs Data Analyst Internship?
| Aspect | Sas R Python Internship | Data Analyst Internship |
|---|---|---|
| Required Skills | Knowledge of SAS, R, Python, data manipulation | Proficiency in Excel, SQL, basic statistical analysis |
| Work Environment | Data-focused, analytics teams, tech companies | Business units, consulting firms, finance |
| Industry Usage | Common in healthcare, finance, tech | Widespread across industries including marketing and finance |
Both internships involve data analysis skills, but Sas R Python Internships focus more on programming and statistical tools, while Data Analyst Internships emphasize business insights and reporting. The choice depends on whether you prefer technical programming or business-oriented analysis.
What types of projects can I expect to work on during a SAS R Python internship, and how do these projects contribute to real business outcomes?
As a SAS R Python intern, you will typically work on data analysis, data cleaning, and developing predictive models using large datasets. Projects often involve collaborating with data scientists and business analysts to extract insights that drive decision-making, such as optimizing marketing campaigns or improving operational efficiency. These assignments allow you to apply statistical methods and programming skills in practical settings, directly supporting organizational goals. Interns also gain exposure to real-world data challenges and team-based problem-solving, making it a valuable stepping stone for future analytics roles.
What are the key skills and qualifications needed to thrive as a SAS R Python Intern, and why are they important?
To thrive as a SAS R Python Intern, you need a solid understanding of statistics, data analysis, and programming fundamentals, often supported by coursework or a degree in a quantitative field. Familiarity with statistical software like SAS, R, and Python, as well as data visualization and database tools, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These skills are crucial for successfully analyzing data, drawing actionable insights, and contributing effectively to data-driven projects within an organization.
What cities in Indiana are hiring for Sas R Python Internship jobs? Cities in Indiana with the most Sas R Python Internship job openings:
Full-time
Posted 21 hours ago
Purdue University rating
7.5
Based on 136 frontline employees who took The Breakroom Quiz
268th of 546 rated colleges and universities
Job description
Post Doc Research Assistant
City: West Lafayette
Job Description:
Job Summary
The Center for Food Conservation and Waste Reduction (https://conservefood.org/), housed in the Department of Agricultural Economics at Purdue University, has funding to hire a postdoctoral scholar for a 1-year period. The Center is looking to hire an individual who can independently lead data analysis and writing for an academic audience on topics related to household food management and food waste reduction. For data analysis, we are open to experience with STATA, SAS, R, SPSS; experience with Python is also helpful (but not required). Experience with grant writing is a plus, as the Center seeks additional funding opportunities, which could support a funding extension for the postdoc position. There are also opportunities to contribute to new data collection efforts and help identify new research questions of interest, as well as work with and mentor students in our Food Conservation Specialist cohorts.
For full consideration, applicants should submit a CV and cover letter explaining their interest in the position by Friday, July 10th.
Education
PhD in Agricultural or Applied Economics, Public Health, Nutrition, Environmental Studies, or related field
Experience
Strong skills in data analysis and writing for academic journals
FLSA Status
Exempt
City: West Lafayette
Job Description:
Job Summary
The Center for Food Conservation and Waste Reduction (https://conservefood.org/), housed in the Department of Agricultural Economics at Purdue University, has funding to hire a postdoctoral scholar for a 1-year period. The Center is looking to hire an individual who can independently lead data analysis and writing for an academic audience on topics related to household food management and food waste reduction. For data analysis, we are open to experience with STATA, SAS, R, SPSS; experience with Python is also helpful (but not required). Experience with grant writing is a plus, as the Center seeks additional funding opportunities, which could support a funding extension for the postdoc position. There are also opportunities to contribute to new data collection efforts and help identify new research questions of interest, as well as work with and mentor students in our Food Conservation Specialist cohorts.
For full consideration, applicants should submit a CV and cover letter explaining their interest in the position by Friday, July 10th.
Education
PhD in Agricultural or Applied Economics, Public Health, Nutrition, Environmental Studies, or related field
Experience
Strong skills in data analysis and writing for academic journals
FLSA Status
Exempt
What Purdue University employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Purdue University
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Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
West Lafayette, IN, US
Year founded
1962