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Afternoon Data Analyst R Programming Jobs in Roxana, IL

Data Strategy-Manager

Saint Louis, MO · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

Data Analytics & Visualization Engineer

Shiloh, IL · On-site

$106K - $128K/yr

We are seeking a Data Analytics & Visualization Engineer to join the Real-Time Visibility (RTV ... or R. * Strong understanding of data modeling, ETL processes, and data pipeline development.

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

Showing results 21-40

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 Sep 5, 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 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 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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $79,250 per year, or $38.1 per hour.

Data Analytics & Reporting Analyst/Alteryx **US CITIZENSHIP REQUIRED**

Vets, Inc

Saint Louis, MO

Full-time

Re-posted 7 days ago


Job description

VETS, Inc., is looking to add an experienced Analytics and Reporting / financial auditability and transportation logistics analyst to our growing team. This is a full time, permanent position with full benefits. Due to contract requirements, this position requires US Citizenship.

We're seeking successful, experienced Data Analytics/Reporting SME to join our team in implementing a cutting-edge software system that will transform how USTRANSCOM manages finances and supply chains. The SME will collaborate with cross-functional teams to understand their data needs and deliver actionable insights.

If you're passionate about leveraging technology to streamline operations and enhance transparency, this is your chance to make a significant impact. Join us in building the future of financial and logistical management.


Responsibilities:

  • Lead a team of data analytics and reporting while working with large datasets, creating automated workflows, and providing expertise in data preparation, blending, and analysis.
  • Design, develop, and maintain complex Alteryx workflows for data preparation, blending, and analysis.
  • Perform in-depth data analysis using Alteryx to identify trends, patterns, and insights.
  • Create comprehensive reports and dashboards that communicate data-driven insights to stakeholders.
  • Ensure data accuracy, integrity, and consistency within Alteryx workflows implementing corrective data quality actions as needed.
  • Analyze business processes and workflows to identify opportunities for improvement using Alteryx.


Qualifications:
Required:

  • US citizen with Secret security clearance or ability to obtain/maintain Secret clearance upon hire
  • Responsible for the successful execution of the program’s strategic data management and integration
  • 5+ years of experience in data analytics, with a strong focus on Alteryx., preferably in government or defense sectors
  • Extensive experience with ERP systems, particularly in implementation and data migration
  • Advanced proficiency in Alteryx Designer and Alteryx Server.
  • Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI)
  • Experience with large-scale data migration projects
  • Strong verbal and written communication skills with the ability to effectively communicate plans and strategies to executive level positions
  • Familiarity with DoD logistics systems is highly desirable
  • Strong understanding of data governance principles, practices, and tools.
  • Knowledge of metadata management and data cataloging solutions.
  • Bachelor’s degree in information systems, engineering, operations research, or a related field

Desired:

  • Agile certification (SAFe) and experience working in an Agile environment
  • SAP expertise (public sector/DoD preferred)
  • Direct experience with commercial and Federal supply chain best practices