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Afternoon Data Analyst R Programming Jobs in Aurora, IL

MaximaTek

Data Analyst

Chicago, IL · On-site

Data Analyst (0-3 Years Experience | Freshers Welcome) Location: Chicago, IL, United States (On ... R Programming * Power Query * ETL * MySQL * PostgreSQL * Microsoft SQL Server * Statistics

PartsSource

Data Analyst

Hoffman Estates, IL · On-site

Bachelor's degree in data science, mathematics, economics, business, engineering, or a related ... Preferred * Experience with Python or R for data manipulation and statistical analysis.

PartsSource

Data Analyst

Hoffman Estates, IL · On-site

Bachelor's degree in data science, mathematics, economics, business, engineering, or a related ... Preferred * Experience with Python or R for data manipulation and statistical analysis.

Resource Innovations

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

Bachelor's degree in an analytical discipline, such as engineering, mathematics, statistics, finance, or computer programming is strongly preferred * Experience with data manipulation and ...

Veridic Solutions

Data Analyst

Chicago, IL · On-site

You will work closely with business stakeholders, product teams, and engineering to define metrics, build scalable analytics solutions, and translate technical and behavioral data into clear insights.

New

Clear Point Consultants

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Senior Data Analyst - Mortgage Analytics We are seeking an experienced Senior Data Analyst to join ... Experience with Python, SAS, R, or another statistical/analytical programming language is a plus.

Wolf Soccer Club

Remote Data Analyst

Aurora, IL · On-site

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Transunion

Senior Data Analyst

Chicago, IL

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ...

Wolf Soccer Club

Remote Data Analyst

Joliet, IL · On-site

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Wolf Soccer Club

Remote Data Analyst

Naperville, IL · On-site

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Wolf Soccer Club

Remote Data Analyst

Carol Stream, IL · On-site

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

TransUnion

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ...

Trans Union LLC

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ...

Apex Fintech Solutions

Data Analyst

Chicago, IL · Hybrid

$75K - $94K/yr

R.E.A.T. - grit, results, empathy, accountability, and teamwork - with Apex. We're proud to be ... Data Analyst Location : 141 W. Jackson Blvd., Suite 500, Chicago, IL 60604 Responsibilities

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Afternoon Data Analyst R Programming information

See Aurora, IL salary details

$33.7K

$81.9K

$134.8K

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

As of Sep 8, 2026, the average yearly pay for afternoon data analyst r programming in Aurora, IL is $81,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 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 are the most commonly searched types of Data Analyst R Programming jobs in Aurora, IL?

The most popular types of Data Analyst R Programming jobs in Aurora, IL are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Aurora, IL?

For Afternoon Data Analyst R Programming jobs in Aurora, IL, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Aurora, IL look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Aurora, IL are:

What cities near Aurora, IL are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Aurora, 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 Aurora, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $81,932 per year, or $39.4 per hour.

Data Analyst

MaximaTek

Chicago, IL • On-site

Other

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

Job description

Data Analyst (0–3 Years Experience | Freshers Welcome)

Location: Chicago, IL, United States (On-site)

Employment Type: Full-time

Seniority Level: Entry Level

Job Summary

We are seeking a detail-oriented and analytical Data Analyst to join our growing team. This role is ideal for recent graduates and professionals with 0–3 years of experience who are passionate about working with data, identifying trends, and supporting business decisions through analytics.

As a Data Analyst, you will collect, analyze, and visualize data, create reports and dashboards, and work with cross-functional teams to provide actionable business insights.

Fresh graduates are encouraged to apply.

Key Responsibilities

  • Collect, clean, and analyze data from multiple sources.
  • Develop reports and dashboards using Excel, Power BI, or Tableau.
  • Write SQL queries to retrieve and analyze data.
  • Perform data validation and ensure data accuracy.
  • Identify trends, patterns, and actionable business insights.
  • Create KPI reports and business performance metrics.
  • Collaborate with business teams to understand reporting requirements.
  • Support business intelligence initiatives.
  • Prepare presentations and analytical reports.
  • Maintain documentation for reports and data processes.
  • Assist with ad hoc reporting and analytics requests.

Required Qualifications

  • Bachelor's or Master's degree in:
  • Data Analytics
  • Computer Science
  • Information Technology
  • Information Systems
  • Business Analytics
  • Statistics
  • Mathematics
  • Economics
  • Management Information Systems (MIS)
  • Industrial Engineering
  • Or a related field.
  • 0–3 years of experience.
  • Fresh graduates are encouraged to apply.

Required Skills

  • SQL
  • Microsoft Excel
  • Data Analysis
  • Power BI
  • Tableau
  • Data Visualization
  • Reporting
  • Dashboard Development
  • Data Cleaning
  • Problem Solving

Preferred Skills

  • Python
  • R Programming
  • Power Query
  • ETL
  • MySQL
  • PostgreSQL
  • Microsoft SQL Server
  • Statistics
  • Business Intelligence (BI)
  • Google Sheets

Soft Skills

  • Analytical Thinking
  • Critical Thinking
  • Communication Skills
  • Team Collaboration
  • Attention to Detail
  • Time Management
  • Problem Solving
  • Adaptability
  • Organizational Skills

Education

Bachelor's or Master's Degree in Data Analytics, Computer Science, Information Technology, Information Systems, Business Analytics, Statistics, Mathematics, Economics, Management Information Systems (MIS), Industrial Engineering, or a related field.

Experience

  • 0–3 Years
  • Freshers Welcome


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