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Afternoon Data Analyst R Programming Jobs in Roxana, IL

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.

The Data Scientist is expected to prototype and design to the goals of functionality and ... Analysis and Programming expereince with Python or R, Code - samples to be provided upon request ...

... Analysis and Programming expereince with Python or R, Code - samples to be provided upon request ... Analyze data and make decisions/recommendations, using data to guide decision-making and provide ...

Job #216293 Chipton-Ross is seeking 2 Systems & Data Analyst (Level 4) for a hybrid/contract ... developers to implement SAP projects. Regular and predictable attendance is required. Duties may ...

Civil or environmental engineering * Stormwater or wastewater systems * Sewer flow monitoring * Environmental data analysis * Trend and outlier analysis * Geographic Information Systems (GIS)

Civil or environmental engineering * Stormwater or wastewater systems * Sewer flow monitoring * Environmental data analysis * Trend and outlier analysis * Geographic Information Systems (GIS)

Civil or environmental engineering * Stormwater or wastewater systems * Sewer flow monitoring * Environmental data analysis * Trend and outlier analysis * Geographic Information Systems (GIS)

... Analysis and Programming expereince with Python or R, Code - samples to be provided upon request ... Analyze data and make decisions/recommendations, using data to guide decision-making and provide ...

Showing results 41-60

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 Aug 16, 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?

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 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,250 per year, or $38.1 per hour.

Data Analytics & Visualization Engineer

Leidos

Shiloh, IL • On-site

$106K - $128K/yr

Full-time

Re-posted 13 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

79th of 492 rated business services


Job description

The Leidos Digital Modernization Group seeks a Data Analytics & Visualization Engineer for the Global Solution Management - Operations II (GSM-O II) contract, under the Global Automations & Intelligent Network Solutions (GAINS) Team. We are seeking a Data Analytics & Visualization Engineer to join the Real-Time Visibility (RTV) team. This is an exciting opportunity to work in a fast-paced environment where innovation, collaboration, and growth are at the forefront.
This role is responsible for transforming raw data into clean, reliable, and accessible datasets, and for delivering actionable insights through advanced analytics and compelling visualizations. The primary visualization tool for this position is Kibana or experience with other similar tools (i.e. Tableau, Power BI, Grafana) is preferred. The candidate will bridge the gap between raw data and operational decision-making, applying best practices in data quality, analytics, and visualization to support mission objectives. This position is ideal for candidates who are passionate about transforming data into insights, enabling operational excellence, and driving mission success through analytics and visualization, with Kibana as the primary visualization platform.
As a key Real-Time Visibility team member, you will work as part of a fast paced, Agile development and implementation team to architect, design and develop a unified User Experience / User Interface (UX/UI) that provides a holistic single-pane-of-glass interface for an integrated solution on the Kibana platform. You will also work with operational end users and support teams to perform requirements analysis, as well as design, develop and demonstrate UI mockups and wireframes.
Candidate must be within driving distance of Scott AFB. At a minimum, a Secret clearance is required upon the start of employment and within 14 days following the start date the employee must obtain their Security + certification.
Primary Responsibilities:
  • Gather, clean, and validate data from multiple sources to ensure accuracy, consistency, and usability.
  • Analyze complex datasets to identify trends, patterns, and insights that answer operational and business questions.
  • Design and develop interactive dashboards, reports, and visualizations using Kibana as the primary tool, ensuring findings are communicated clearly and effectively to stakeholders.
  • Applying the basics of visual design (i.e. UI) principles in their design work such as visual hierarchy, proximity, similarity, font selection and color theory and demonstrate an understanding of visual, layout, content organization, and accessibility guidelines.
  • Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences.
  • Engage with stakeholders to understand business needs, operational challenges, and data requirements.
  • Refine and maintain data transformation pipelines, ensuring data quality, reliability, and alignment with business logic.
  • Develop and maintain self-service analytics tools and reusable data assets to empower end users.
  • Document data models, business logic, transformation processes, and analytics workflows for transparency and knowledge sharing.
  • Work closely with data engineers, business analysts, and other stakeholders to deliver integrated data solutions.

Basic Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline and 8+ years of relevant experience.
  • Demonstrable experience designing and building data visualizations and dashboards using Kibana.
  • Hands-on experience with data cleaning, transformation, and analysis using tools such as Python (pandas, numpy), SQL, or R.
  • Strong understanding of data modeling, ETL processes, and data pipeline development.
  • Ability to translate business requirements into technical solutions and actionable insights.
  • Excellent communication skills, with the ability to present complex data findings to diverse audiences.
  • Experience with version control systems (e.g., Git) and collaborative development environments.
  • Strong attention to detail and commitment to data quality and reliability.
  • Strong communication and documentation skills for collaboration and knowledge sharing.
  • Experience in application integration design and strong communication skills for collaboration with virtual teams.
  • Ability to obtain interim Secret DoD Security clearance before the start date.
  • Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of the start date.
  • Must be able to commute to Scott AFB, IL for full-time onsite support.

Preferred Qualifications:
  • Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for data analysis and visualization.
  • Experience with other data visualization tools such as Tableau, Power BI, Grafana, or similar.
  • Experience developing self-service analytics solutions and reusable data assets.
  • Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
  • Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies.
  • Knowledge of data governance, security, and compliance best practices.
  • Experience documenting data models, business logic, and transformation processes.
  • Experience working in mission-driven or operational environments.
  • Experience developing and deploying software in a DoD environment (DISA experience is a plus).
  • Experience with DISA and DoD Networks.
  • Understanding of network routing devices and network device configurations
  • Experience with text mining tools and techniques, including ELK Stack for summarization, search, and entity extraction.
  • Familiarity with CI/CD techniques, containerized pipelines, and DevOps practices.
  • Familiarity with Kubernetes deployment, Agile methodologies, and tools.
  • Familiarity with AWS GovCloud and cloud infrastructure, including networking and security policies.
  • Experience with Agile methodologies and related tools. Experience with Atlassian tools, including JIRA and Confluence.
  • Strong understanding of Agile methodologies, including Scrum and SAFe.
  • Experience working remotely with a geographically dispersed team.

Excellent communication and collaboration skills, with the ability to engage with customers, stakeholders, team members.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
June 4, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $92,300.00 - $166,850.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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