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Afternoon Data Analyst R Programming Jobs in Wichita, KS

DPDHL

Business Data Analyst II

Wichita, KS

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

DHL

Business Data Analyst II

Wichita, KS · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Varsity Tutors

Data Science Tutor

Wichita, KS · Remote

$18 - $40/hr

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 ...

Emprise Bank 2

Data Engineer

Wichita, KS

$102K - $123K/yr

Collaborate with data analysts, data analytics engineers, and data scientists to understand their data needs and provide technical assistance * Stay up to date with emerging technologies and best ...

Emprise Bank

Data Engineer

Wichita, KS · On-site

$102K - $123K/yr

Collaborate with data analysts, data analytics engineers, and data scientists to understand their data needs and provide technical assistance * Stay up to date with emerging technologies and best ...

Emprise Bank

Data Engineer

Wichita, KS · On-site

$113K - $135K/yr

Collaborate with data analysts, data analytics engineers, and data scientists to understand their data needs and provide technical assistance * Stay up to date with emerging technologies and best ...

Global Partners

Analytics Engineer

Newton, KS · On-site

$118K - $177K/yr

You are an analytics translator and champion for Global Partners. You embrace collaboration with ... data modeling. * Some experience in Python, R or other Object-Oriented Programming language is a ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Programming skills in R or Python and experience with related machine learning packages. * Proven track record of assisting business decisions with accurate data and analysis. * Strong analytical and ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Programming skills in R or Python and experience with related machine learning packages. * Proven track record of assisting business decisions with accurate data and analysis. * Strong analytical and ...

Viavi Solutions

Senior Test Engineer

Wichita, KS · On-site

SQL database programming for test record storage, retrieval, and data management. * Measurement Uncertainty Analysis and Gauge R&R methodology and application in a manufacturing test environment.

Viavi Solutions

Senior Test Engineer

Wichita, KS

SQL database programming for test record storage, retrieval, and data management. * Measurement Uncertainty Analysis and Gauge R&R methodology and application in a manufacturing test environment.

The Atlas Group

IT Analyst Developer

Wichita, KS · On-site

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 ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Wichita, KS

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 Jul 23, 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 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.

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 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 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 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 July 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.

Business Data Analyst II

DPDHL

Wichita, KS

$55K - $90K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 10 days ago

Job description

The Business Data Analyst II role has a national salary range of $55,000 - $90,000.

For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 - $90,000 and Colorado 57,500 - $90,000.

DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy.


Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we're looking for a Business Data Analyst II who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impact-this role is for you!


Job Description

As a Business Data Analyst II, you will play a key role in transforming operational data into strategic insights that improve performance, reduce costs, and enhance service levels. You'll collaborate with site leadership and key stakeholders across operations to develop models, dashboards, and reports that guide decision-making and drive continuous improvement.

Responsibilities

  • Develop and maintain Power BI reports to support operational and strategic decisions
  • Full development of Power BI including data visualization and back-end data model design
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements
  • Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction
  • Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
  • Translate complex data into clear, actionable insights through presentations and reports for internal and customer use
  • Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.)


Required Experience

  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 0-2 years of experience in data analytics, business intelligence, or a related field, required
  • Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred
  • Proficiency in Power BI, including building dashboards and reports, required
  • Experience writing DAX expressions to automate and enhance Power BI reports, preferred
  • Familiarity with statistical concepts and data modeling techniques, preferred
  • Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred
  • Must be able to work fully onsite if role based out of a warehouse, required


Our Organization is an equal opportunity employer.

Employment Type: FULL_TIME

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