1

Afternoon Data Analyst R Programming Jobs in Wichita, KS

Data Analysts support the development and optimization of strategic initiatives by generating ... using R, Python, and other programming languages Develop technical as well as process-based ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Engineer

Wichita, KS · On-site

$102.40K - $123K/yr

... analysts -- to understand their processes, validate business logic, and ensure your data models ... part of your engineering workflow (Claude Code, Snowflake Cortex, and others) to accelerate ...

Design system integrations between factory systems, ERP platforms, and data analytics tools. Write, test, and deploy code using appropriate programming languages (e.g., X++, C#, .NET, Python, SQL ...

Design system integrations between factory systems, ERP platforms, and data analytics tools. Write, test, and deploy code using appropriate programming languages (e.g., X++, C#, .NET, Python, SQL ...

Design system integrations between factory systems, ERP platforms, and data analytics tools. Write, test, and deploy code using appropriate programming languages (e.g., X++, C#, .NET, Python, SQL ...

Engineering and Technical Job Type for Job Posting: Full Time Apply now * Apply Now * Start ... Analyzing statistical data from processes to either confirm compliance with established standards ...

New

Software Engineer Analyst

Wichita, KS · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Digital Analyst Internships

Wichita, KS · On-site

$88.10K - $104.20K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

next page

Showing results 1-20

Afternoon Data Analyst R Programming information

See Wichita, KS salary details

$30.4K

$73.9K

$121.7K

How much do afternoon data analyst r programming jobs pay per year?

As of May 29, 2026, the average yearly pay for afternoon data analyst r programming in Wichita, KS is $73,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $86,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Wichita, KS? The most popular types of Data Analyst R Programming jobs in Wichita, KS are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Wichita, KS? For Afternoon Data Analyst R Programming jobs in Wichita, KS, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Wichita, KS look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Wichita, KS are:
What cities near Wichita, KS are hiring for Afternoon Data Analyst R Programming jobs? Cities near Wichita, KS with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Wichita, KS as of May 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $73,930 per year, or $35.5 per hour.

Full-time

Posted 6 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.