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Afternoon Data Analyst R Programming Jobs in Offutt Air Force Base, NE

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 ...

AECOM is seeking a Control Room Data Analyst - Auditor to support a 24/7/365 traffic operations ... Programming and/or coordination of enhancements to all in-house developed databases and reports.

AECOM is seeking a Control Room Data Analyst - Auditor to support a 24/7/365 traffic operations ... Programming and/or coordination of enhancements to all in-house developed databases and reports.

AECOM is seeking a Control Room Data Analyst - Auditor to support a 24/7/365 traffic operations ... Programming and/or coordination of enhancements to all in-house developed databases and reports.

Strong proficiency with scripting languages for data analysis (e.g., Python, R). * Experience developing custom AI agents and agentic workflows. * Familiarity with version control systems (e.g., Git ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Offutt Air Force Base, NE salary details

$32.2K

$78.3K

$128.9K

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

As of Sep 14, 2026, the average yearly pay for afternoon data analyst r programming in Offutt Air Force Base, NE is $78,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $91,900.00 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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Offutt Air Force Base, NE look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Offutt Air Force Base, NE are:

What cities near Offutt Air Force Base, NE are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Offutt Air Force Base, NE with the most Afternoon Data Analyst R Programming job openings:

Bioinformatics Data Analyst

Omaha, NE • On-site

University of Nebraska Medical Center
Colleges, Universities, and Professional Schools • 1 - 5K employees

$55K - $83K/yr

Full-time

Re-posted 4 days ago


University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location Omaha, NE Requisition Number: Staff_14859 Department Pharmacology/Exp Neuroscience 50000523 Business Unit College of Medicine Reg-Temp Full-Time Regular Work Schedule TBD by Research Needs Remote/Telecommuting No remote/telecommuting opportunity Position Summary
Responsible for providing assistance with bioinformatic analysis and programming support for Omics analysis, which include transcriptomics, proteomics, and metabolomics data analysis. Specifically, involved in Single cell RNA and ATAC seq data analysis, Microbiome analysis and other bioinformatics analysis as needed for the projects to enhancing translational research under the direction of supervisor.
Support spatial profiling analysis (Visium HD, Xenium, CosMx). Ensure data integrity, track metadata, standardize analysis pipelines and provide interpretation of results. This will include carrying out very large-scale sequence data management and analysis procedures in close and writing resulting data for manuscripts/grants.
Also, may perform basic lab techniques such as DNA/RNA isolation, submitting for data/sequencing data/omics data to appropriate resources. Generate publications ready figures, methods sections, and results for manuscripts, presentations, and grant applications. Able to apply machine learning and AI based tools for in silico drug development studies.
Position Details
Additional Information 
Posting Category Research - Non Academic Working Title Bioinformatics Data Analyst Job Title Data Coordinator L2 Salary Grade RA22S Appointment Type B1 - REG MGR PROF SALARY Salary Range $55,400 - $83,100/annual Job Requisition Begin Date 07/13/2026 Application Review Date 07/20/2026 Review Date Information:
Initial application review will begin on the date provided in the field above. Applications received prior to this review date will be considered. Applications received after the review date may be considered.
Required and Preferred Qualifications
Required Education: Bachelor's degree If any degree major/training is required, please specify the type. (NOTE: Concentration and minors are not equivalent to a major)
Computer Science, Bioinformatics or related Quantitative/Biomedical Discipline
(Will consider additional related post high school education in lieu of required experience)
Required Experience 2 years If any experience is required, please specify what kind of experience:
Experience with scientific data analysis, data management to include experience with quantitative/biomedical discipline.
(Will consider additional related post high school education in lieu of required experience)
Required License No If yes, what is the required licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint Required Other Computer Applications: Adobe Suite Required Additional Knowledge, Skills and Abilities:
General experience with the Linux/Gnu operating system and utilities. General experience with scripting or compiled programming languages (e.g., BASH shell scripting, Python, Perl, Ruby, Java, Mono)
Preferred Education: Master's degree or equivalent If any degree/training is preferred, please specify the type:
Relevant coursework/specialized training or equivalent
Preferred Experience:
Bioinformatics data analysis or related experience
Prefer progress towards or completion of a relevant Master's degree.
Preferred License: No If yes, what is the preferred licensure/certification?: Preferred Computer Applications: Microsoft Access Preferred Other Computer Applications: Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/99173

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