1

Afternoon Data Analyst R Programming Jobs (NOW HIRING)

Data Analyst

Hurlburt Field, FL · On-site

$58K - $138K/yr

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... R, Python, C++, JavaScript, Go, and other known programming languages Build data solutions, tools ...

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... R, Python, C++, JavaScript, Go, and other known programming languages Build data solutions, tools ...

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... R, Python, C++, JavaScript, Go, and other known programming languages Build data solutions, tools ...

We seek candidates with a strong analytical mindset, excellent R programming skills, and expertise in data visualization platforms like R Shiny, Tableau, or Qualtrics. The ideal candidate has 7 years ...

Java, Linux, Apache, Perl/Python), especially the R programing. * Experience with Hadoop Security ... Predictive analytics experience is a PLUS Requirements: * Past work experience on h/w, s/w configs ...

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

... within the engineering or construction industry. * Proven experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., R, Python, or similar)

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

... SQL, etc), programming (XML, Javascript, or ETL frameworks) • Knowledge of statistics and ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See salary details

$34K

$82.6K

$136K

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

As of Aug 20, 2026, the average yearly pay for afternoon data analyst r programming in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.

More about Afternoon Data Analyst R Programming jobs

What cities are hiring for Afternoon Data Analyst R Programming jobs?

Cities with the most Afternoon Data Analyst R Programming job openings:

What are the most commonly searched types of Data Analyst R Programming jobs?

The most popular types of Data Analyst R Programming jobs are:

What states have the most Afternoon Data Analyst R Programming jobs?

States with the most job openings for Afternoon Data Analyst R Programming jobs include:

Infographic showing various Afternoon Data Analyst R Programming job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Clarity Innovations

Hurlburt Field, FL • On-site

$58K - $138K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Role

This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations Command (AFSOC) at Hurlburt Field, FL. This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Data Analyst will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts. The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization.

Responsibilities

Data Analysts are responsible for querying, engineering, and analyzing data in accordance with data management policies to support mission and business functions and tasks.

Data Analysts will perform the following duties:
    Identify new sources of data and methods to improve data collection, analysis, and reporting
    Collect customer requirements
    Determine technical issues
    Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and other known programming languages
    Build data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data
    Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
    Work collaboratively with other data coworkers to produce qualitative and quantitative data that support SOCOM and AFSOC products.

Requirements

  • Minimum of 1-year experience is required.
  • Possess a minimum of a bachelor's degree in a computer science discipline or equivalent.
  • Experience providing services similar in required tasks, scope, and complexity.
  • At least "Interim Secret" w/in 30 days of hire is required.

Preferred Qualifications

  • Familiarity with Python, PowerBI, Advana, or Envision
  • Top Secret clearance eligible for SCI is preferred.

Salary Range: $58,000 - $138,000