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Afternoon Data Analyst R Programming Jobs in Roxana, IL

Build, transform, and analyze large-scale datasets using current data-centric programming languages (such as Python or R) for distributed/big-data processing. * Integrate, model, and operationalize ...

Data Analyst

Fairview Heights, IL · Hybrid

$77K - $129K/yr

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance ... SQL and relational databases, Data analysis tools (e.g., Python, R, or similar) and Data ...

Data Analyst

Fairview Heights, IL · On-site

$77K - $129K/yr

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance ... SQL and relational databases, Data analysis tools (e.g., Python, R, or similar) and Data ...

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative ... Knowledge of Python/R for data manipulation (optional but beneficial). * Experience with Power ...

This is not a Data Engineer role . Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python

Data Analyst Senior

Saint Louis, MO · On-site +1

$107K - $155K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

Python, R, Alteryx, SQL, SAS) * Perform operations to prepare data for analysis (e.g., data cleansing, data integration, data transformation) * Gather analytic requirements from client * Develop ...

The Role We Want You For The Quality Data Analyst will enter and analyze large quantities of data ... Requirements * Bachelor's Degree in a technical discipline, such as Industrial Engineering ...

The Role We Want You For The Quality Data Analyst will enter and analyze large quantities of data ... Requirements * Bachelor's Degree in a technical discipline, such as Industrial Engineering ...

The Role We Want You For The Quality Data Analyst will enter and analyze large quantities of data ... Requirements * Bachelor's Degree in a technical discipline, such as Industrial Engineering ...

The Role We Want You For The Quality Data Analyst will enter and analyze large quantities of data ... Requirements * Bachelor's Degree in a technical discipline, such as Industrial Engineering ...

The Role We Want You For The Quality Data Analyst will enter and analyze large quantities of data ... Requirements * Bachelor's Degree in a technical discipline, such as Industrial Engineering ...

The Role We Want You For The Quality Data Analyst will enter and analyze large quantities of data ... Requirements * Bachelor's Degree in a technical discipline, such as Industrial Engineering ...

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Afternoon Data Analyst R Programming information

See Roxana, IL salary details

$32.6K

$79.3K

$130.4K

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

As of Jul 26, 2026, the average yearly pay for afternoon data analyst r programming in Roxana, IL is $79,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $93,000.00 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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Roxana, IL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Roxana, IL are:
What cities near Roxana, IL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Roxana, IL with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Roxana, IL as of July 2026, with employment types broken down into 1% As Needed, 57% Full Time, 33% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $79,250 per year, or $38.1 per hour.
Data Analyst

Data Analyst

Centuria

Scott Air Force Base, IL

Full-time

Posted 26 days ago


Job description

Job Title: Data Analyst / Data Manager
Location: Scott AFB, IL
Program: HQ Cyberspace Capabilities Center (HQ CCC)
Clearance: Secret

Company Description:

Centuria, a Service-Disabled Veteran-Owned Small Business (SDVOSB), has been delivering IT, Engineering, and Scientific solutions to the Federal Government since 2002. During our two decades of service we have earned the trust and respect of our government clients for the simple reason that we have great people who are experts in their fields and take pride and ownership in everything they do. 
The Washington Post has recognized Centuria Corporation as one of the top workplaces in the DC Metro area for 2026. This award celebrates nationally recognized companies that make the world a better place to work together by prioritizing a people-centered culture and giving employees a voice. The Top Workplaces USA award is based entirely on feedback from an employee engagement survey completed by the employees of participating workplaces. Centuria is honored to have been awarded this distinction.  

The Data Analyst / Data Manager serves as a hybrid technical role at the intersection of data analysis, data management, and system support within HQ CCC's independent performance-validation mission. Beyond analyzing data, this role ensures that the performance and test data underpinning HQ CCC's analyses is well-governed, high-quality, secure, and trustworthy throughout its lifecycle. This directly supports the DoD Data Strategy and the Air Force's drive to become a data-centric force, ensuring data assets are managed in accordance with VAULTIS principles — Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable, and Secure. By combining rigorous analysis with disciplined data stewardship — and applying enterprise data platforms such as Palantir Foundry, Power BI, and PySpark — this role enables defensible, repeatable, and auditable independent assessments for cyberspace leadership.

 

Job Responsibilities:

  • Perform analysis of collected data using data analysis and statistical techniques to enhance root-cause performance degradation detection.
  • Build, transform, and analyze large-scale datasets using current data-centric programming languages (such as Python or R) for distributed/big-data processing.
  • Integrate, model, and operationalize data within data analytics and management platforms (such as Palantir Foundry or Databricks) to support pipelines, ontologies, and analytic workflows.
  • Develop dashboards, reports, and visualizations using business intelligence software (such as Power BI or Tableau) to communicate performance insights.
  • Validate program and system performance against representative physical and emulated environments.
  • Translate analytical findings into clear, actionable insights for the team and leadership.
  • Support the full data lifecycle — collection, ingestion, organization, storage, retention, archival, and disposition — for performance and test data.
  • Build and maintain data pipelines and transformations (using data analytics and management platforms and data-centric programming languages) ensuring reliable, repeatable processing.
  • Apply data governance policies, standards, and procedures consistent with DoD and Air Force guidance.
  • Ensure data assets adhere to VAULTIS principles.
  • Maintain data quality controls, validation routines, metadata, and data cataloging.
  • Serve as a data steward, safeguarding the security, accuracy, and accessibility of mission data.
  • Administer and maintain the databases and systems that store and process collected performance/test data.
  • Support the physical and emulated environments that generate or host data used in independent analyses.
  • Support assurance of network security and interoperability with the AFNet and AFNet core services.
  • Support independent analyses that inform security, performance, and integration risk management decisions.

Job Requirements:

  • Active Secret security clearance.
  • Minimum DoD 8170.01-M IAM Level I certification (e.g., CompTIA Security+).
  • 5+ years of relevant experience.
  • A bachelor's degree in Computer Technology/Engineering, Information Management Systems, Management Information Systems, or Information Technology (relevant experience may be substituted for some education).
  • Demonstrated experience in Database Administration, Data Analysis, and/or System Administration.
  • Hands-on experience and working knowledge of business intelligence software (such as Power BI or Tableau), data analytics and management platforms (such as Palantir Foundry or Databricks), and current data-centric programming languages (such as Python or R).
  • Strong proficiency with statistical analysis and data analysis tools/techniques.
  • Experience building data pipelines, ontologies, and analytic applications in Palantir Foundry.
  • Proficiency developing distributed data processing jobs using current data-centric programming languages (such as Python or R).
  • Ability to design and deliver dashboards and visualizations using business intelligence software (such as Power BI or Tableau.
  • Experience implementing data governance, data quality, and data lifecycle management practices.
  • Familiarity with the DoD Data Strategy and VAULTIS data principles.
  • Experience with performance monitoring, root-cause analysis, and troubleshooting in enterprise network environments.
  • Familiarity with DoD/Air Force network environments, core services, and security/interoperability standards.
  • Strong written and verbal communication skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.