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Afternoon Data Analyst R Programming Jobs in Chicago, IL

Capital One

Principal Data Analyst

Chicago, IL

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Next Step Systems

Quantitative Analyst

Northbrook, IL · On-site

Quantitative Analyst, Northbrook, IL - The Quantitative Analyst will assist in the research, design ... high-level programming language (R or Python). - Experience working with large data sets ...

Trans Union LLC

Senior Data Analyst

Chicago, IL

$88K - $111K/yr

Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...

Spruce Infotech

Data Analyst

Lake Forest, IL · On-site

The ideal candidate will work closely with business stakeholders, data engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate ...

Transunion

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...

TransUnion

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...

TransUnion

Senior Data Analyst

Chicago, IL

$88K - $111K/yr

Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

Apex Informatics

Data Analyst

Chicago, IL · On-site

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

TransUnion

Senior Data Analyst

Chicago, IL

$88K - $111K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... Proven experience with tools such as SQL, R, Python, Mongo DB and BigQuery * Sufficient ability ...

Capital One

Senior Data Analyst- Enterprise

Chicago, IL

$88K - $111K/yr

Senior Data Analyst- Enterprise At Capital One, data is at the center of everything we do. When we ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Transunion

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... Proven experience with tools such as SQL, R, Python, Mongo DB and BigQuery * Sufficient ability ...

Gotion, Inc.

Data Analyst

Manteno, IL · On-site

Perform feature engineering to enhance data models for machine learning applications. * Collaborate ... Strong analytical and problem-solving skills. * Ability to work independently and in a team ...

Harris & Harris

Data Analyst

Chicago, IL · On-site

$18/hr

Our Data Analysts analyze, identify, and interpret patterns and trends in client data utilizing ... R. Nathaniel Dett Elementary School. At Harris & Harris, everyone is important, and we believe that ...

AllSTEM Connections

Data Analyst

Chicago, IL · On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

... and at least one programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and problem-solving abilities. • Ability to work ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Chicago, IL

Afternoon Data Analyst R Programming information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

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

As of Jun 16, 2026, the average yearly pay for afternoon data analyst r programming in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 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 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 are the most commonly searched types of Data Analyst R Programming jobs in Chicago, IL? The most popular types of Data Analyst R Programming jobs in Chicago, IL are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Chicago, IL? For Afternoon Data Analyst R Programming jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Chicago, IL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Chicago, IL with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Chicago, IL as of June 2026, with employment types broken down into 63% Full Time, 22% Part Time, 5% Temporary, 5% Contract, and 5% Nights. Highlights an 79% Physical, 10% Hybrid, and 11% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Data Analyst

WFN Team Indus US Test Client 2

Chicago, IL • On-site

Full-time

Posted 16 days ago

Job description

About the Role:

We are seeking a highly skilled Data Analyst to join our team in the Agriculture industry. As a Data Analyst, you will be responsible for analyzing complex data sets, creating visualizations, and providing insights to support business decisions. Your work will directly impact the success of our organization and contribute to the growth of the Agriculture industry. The ideal candidate will have a strong background in data analysis and a passion for using data to drive business outcomes.

Minimum Qualifications:

  • Bachelor's degree in a quantitative field such as Mathematics, Statistics, or Computer Science
  • 2+ years of experience in data analysis
  • Proficiency in data cleaning, data extraction, and data visualization tools such as Pivot Tables, Power BI, and Tableau
  • Experience with programming languages such as R and SAS

Preferred Qualifications:

  • Master's degree in a quantitative field such as Mathematics, Statistics, or Computer Science
  • Experience in the Agriculture industry
  • Experience with machine learning and predictive modeling

Responsibilities:

  • Collect and analyze large, complex data sets to identify trends and patterns
  • Create visualizations and reports to communicate insights to stakeholders
  • Collaborate with cross-functional teams to identify opportunities for process improvement
  • Develop and maintain data models and databases
  • Stay up-to-date with industry trends and best practices in data analysis

Skills:

As a Data Analyst, you will use your expertise in data cleaning, data extraction, and data visualization to analyze complex data sets and provide insights to support business decisions. You will also use your programming skills in R and SAS to develop and maintain data models and databases. Your ability to collaborate with cross-functional teams and stay up-to-date with industry trends will be critical to your success in this role.