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Afternoon Data Analyst R Programming Jobs in Wichita, KS

Knowmadics

Data Scientist

Wichita, KS · On-site

Lawton OK; or Round Rock, TX Job Purpose/Summary Work with our team of engineers, scientists and ... Support documentation of analysis results for semi-technical stakeholders * Occasionally support ...

Beechcraft Aircraft

Business Analyst-Parts

Wichita, KS · On-site

... Analysts. o Approves activities of lower-level analysts and standard work revisions EDUCATION ... data from multiple sources: i.e., engineering drawings, specs & standards, supplier data, COs ...

Knowmadics

Data Scientist

Wichita, KS · On-site

Wichita, KS;Lawton OK; or Round Rock, TX Job Purpose/Summary Work with our team of engineers ... Support documentation of analysis results for semi-technical stakeholders * Occasionally support ...

Textron

Business Analyst-Parts

Wichita, KS · On-site

... Analysts. o Approves activities of lower-level analysts and standard work revisions EDUCATION ... data from multiple sources: i.e., engineering drawings, specs & standards, supplier data, COs ...

Textron

Business Analyst-Parts

Wichita, KS

... Analysts. o Approves activities of lower-level analysts and standard work revisions EDUCATION ... data from multiple sources: i.e., engineering drawings, specs & standards, supplier data, COs ...

Deloitte

Hospital Billing Analyst

Wichita, KS · Remote

$42.90K - $57.30K/yr

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Experience using Epic Analytics and Reporting applications * Ability to travel 10%, on average ...

Deloitte

Epic Tapestry Sr Analyst

Wichita, KS · On-site +1

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Analytical/ Decision Making Responsibilities * Analytical ability to manage multiple projects and ...

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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:
Afternoon Data Analyst R Programming jobs near you
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.
Data Scientist

Data Scientist

Knowmadics

Wichita, KS • On-site

Full-time

Posted 18 days ago

Job description

Candidate should live within driving distance of the following areas: Wichita, KS; Lawton OK; or Round Rock, TX
Job Purpose/Summary
Work with our team of engineers, scientists and human factors professionals to develop machine learning and other algorithm data capabilities for cybersecurity, space, and telecommunications. This individual contributor role will involve hands-on work collecting data, developing solutions to real-world problems using machine learning. Developed solutions are actively being productionized to support ongoing cybersecurity initiatives and other crucial infrastructure and security needs.
Duties and Responsibilities
  • Collaboratively develop data collection processes designing experiments to ensure quality and usefulness of data
  • Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and telecommunications, working with structured (time-series, tabular) and unstructured (text, 3D) data
  • Work with human factors specialists, and data/full stack engineers to define system requirements, review developed code, and support translating statistical concepts to coworkers
  • Support documentation of analysis results for semi-technical stakeholders
  • Occasionally support technical interactions like collaboration, including defining technical requirements for external data collections, and reviewing technical work

Qualifications
  • Minimum
    • Graduate-level education (Master's or PhD) in a quantitative field such as natural sciences, mathematics, statistics, economics, psychology, or a related discipline is preferred. Exceptional candidates with a bachelor's degree and substantial applied machine learning or data science experience may also be considered.
    • 2+ years professional experience with an open-source data science stack (e.g., pandas, numpy, pytorch, keras, tensorflow, pymc3, etc.)
    • 2+ years professional experience working with real-world, complex datasets
    • Experience communicating technical results to semi-technical audience
  • Preferred
    • Exposure to product-driven machine learning organization with deployed customer facing capabilities
    • Exposure to big data environment including tools for large-scale data storage and sensor-based data collection workflows
    • Experience with RF/Telecommunications physics, cybersecurity, or space operations
    • Experience with UAS operations, with Part 107 Remote Pilot Certification preferred

Working conditions
  • Employees may be called upon to participate in in-person meetings, trainings, or company functions at Knowmadics offices or other designated locations. Travel in support of business operations may also be required, and employees are expected to comply with these obligations as part of their position.
  • Some weekend work may be required based on project deadlines or operational needs.
  • Estimated Travel: 30-40%

Physical requirements
May include sitting or standing for extended periods, working with computers and technical equipment, and occasionally lifting or moving materials or tools.
Direct reports
None

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