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Freelance Data Analyst R Programming Jobs in Lisle, IL

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

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.

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.

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

Senior Data Analyst

Chicago, IL · On-site

$40 - $55/hr

Create quality technical specifications as required for Data Engineers and BI Developers as ... R. Requirements * NDA/RTR to be completed * References and or LinkedIN recommendations * Full Name ...

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.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Freelance Data Analyst R Programming information

See Lisle, IL salary details

$33.5K

$81.5K

$134.1K

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

As of Sep 10, 2026, the average yearly pay for freelance data analyst r programming in Lisle, IL is $81,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,700.00 per year, depending on experience, location, and employer.

What does a freelance data analyst with R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What are the key skills and qualifications needed to thrive as a freelance data analyst with R programming?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.

What is the difference between Freelance Data Analyst R Programming vs Freelance Data Scientist R Programming?

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

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

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

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

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

What cities near Lisle, IL are hiring for Freelance Data Analyst R Programming jobs?

Cities near Lisle, IL with the most Freelance Data Analyst R Programming job openings:

Infographic showing various Freelance Data Analyst R Programming job openings in Lisle, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $81,494 per year, or $39.2 per hour.

Data Analyst

Chicago, IL • On-site

Other

Re-posted 5 days ago


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