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Sas R Python Internship Jobs in Kansas (NOW HIRING)

... SAS, R, SQL, Python (& associated libraries), or similar Experience with data visualization tools such as Power BI, Tableau, or similar tools Project management experience preferred Experience ...

Practical application experience with one or more analytics packages such as SAS, R, SQL, Python (& associated libraries), or similar * Experience with data visualization tools such as Power BI ...

Practical application experience with one or more analytics packages such as SAS, R, SQL, Python (& associated libraries), or similar * Experience with data visualization tools such as Power BI ...

Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting ... Knowledge of SAS and/or Python is considered an advantage * Familiarity with US and global health ...

New

Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code replication. * Advanced Excel skills, conditional formatting, and/or data analysis tools, and ...

Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code replication. * Advanced Excel skills, conditional formatting, and/or data analysis tools, and ...

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?

AspectSas R Python InternshipData Analyst Internship
Required SkillsKnowledge of SAS, R, Python, data manipulationProficiency in Excel, SQL, basic statistical analysis
Work EnvironmentData-focused, analytics teams, tech companiesBusiness units, consulting firms, finance
Industry UsageCommon in healthcare, finance, techWidespread 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 Kansas are hiring for Sas R Python Internship jobs? Cities in Kansas with the most Sas R Python Internship job openings:

Data Analyst-TAPD eCommerce

Beechcraft Aircraft

Wichita, KS โ€ข On-site

Full-time

Posted 28 days ago


Job description

JOB SUMMARY:

Data Analysts support the development and optimization of strategic initiatives by generating actionable insights and recommendations from internal and external data. Data Analysts support business growth by using business intelligence tools to mine complex data, identify historic trends, and visualize large datasets. Data Analysts play a critical role in data governance, helping to create and maintain data standards and quality.

The Data Analyst will work as part of the skilled and passionate Textron Aviation Parts and Distribution Data & Analytics team providing support and guidance to operations professionals in the aftermarket parts and distribution department. This position primarily focuses on creating tools and reports in support of operational business processes to keep our customers flying. Additionally, this position will leverage data analytics tools and techniques to create metrics and generate strategic recommendations to the various functional leaders within the department.

At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy

Relevant experience focused on data collection, utilization, and analysis. Aviation experience preferred.

Optimize data reports measuring daily business activities in Power BI, Alteryx, or similar tools using query languages and formula libraries such as SQL and DAX

Serves as an internal consultant to business leaders by conducting regular and ad-hoc analyses to convert data into strategic assets.

Develop statistical and machine learning models to answer business questions and make predictions using R, Python, and other programming languages

Develop technical as well as process-based solutions addressing business needs

Work to improve data quality by assisting data governance efforts in creating and maintaining data quality standards

Develop best practices and document proven solutions

Interface with other data professionals throughout the organization to embrace cross functional growth in analytics capabilities

Gather and document analytics project requirements from business stakeholders

Explore and understand the inner workings and market context of an aircraft OEM

Coordinate data management and resource requirements with data engineers

Develop and conduct training to business analysts and internal customers on data and resources available through the analytics system

Interpret trends and communicate insights from marketplace and operations data to inform new product development, customer service, and other related departments

Provides direct leadership in designing and recommending appropriate analytical approaches and methodology to address key issues within the business

Work with leadership teams to ensure projects are accurately prioritized and implemented

Propose and develop strategy for advanced analytics roadmaps

Ensures that team efforts support the overall strategic vision and goals of the organization and links with other similar teams in other parts of the business

EDUCATION/ EXPERIENCE:

Bachelor's degree required in MIS, Computer Science, Data Analytics, Business Administration, Engineering, Mathematics, Economics, Statistics, or related technical field/coursework

Master's degree preferred in: MIS, CS, Finance, Business Administration, or related field

Minimum 5 years relevant technical experience required, focused on data collection, utilization, and analysis.

Aviation experience preferred

QUALIFICATIONS:

Excellent written and verbal communication skills

Comfort presenting technical information to upper management

Experience with Microsoft Office including Excel and PowerPoint

Practical application experience with one or more analytics packages such as SAS, R, SQL, Python (& associated libraries), or similar

Experience with data visualization tools such as Power BI, Tableau, or similar tools

Project management experience preferred

Experience working with relational databases and developing complex data sets

Ability to identify relevant metrics and explain technical information to a broad audience

Desire and ability to learn and leverage new software, tools, and processes in a self-learning environment

Strong analytical skills, research capabilities, and careful attention to detail

Understanding of current analytics and data modeling methods

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.