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Afternoon Data Analyst R Programming Jobs in Arlington Heights, IL

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 ...

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 ...

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 ...

Data Analyst

Chicago, IL · On-site

$74K - $93K/yr

... R. • Experience in underwriting analysis. Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is ...

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 ...

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 ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/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 ...

Work closely with data engineering teams, integration teams, and business stakeholders. * Support testing of ETL pipelines and API/file-based integrations. * Issue Analysis & Production Support:

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

Data Analyst

Chicago, IL · On-site

$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

Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel * Experience with data visualization tools (e.g., Tableau, Power BI, or similar) and experience ...

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Afternoon Data Analyst R Programming information

See Arlington Heights, IL salary details

$34K

$82.6K

$136K

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

As of Aug 6, 2026, the average yearly pay for afternoon data analyst r programming in Arlington Heights, IL is $82,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Arlington Heights, IL? For Afternoon Data Analyst R Programming jobs in Arlington Heights, IL, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Arlington Heights, IL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Arlington Heights, IL are:
What cities near Arlington Heights, IL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Arlington Heights, IL with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Arlington Heights, 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $82,648 per year, or $39.7 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Brown and Caldwell rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

15th of 441 rated engineering


Job description

The Associate Data Analyst position performs data analytics for informed decision making, dashboards, report generation and overall project support. This role supports and contributes to organizational success by supporting the delivery of high-quality data solutions. Work is performed under general supervision with guidance provided for complex issues.

Responsibilities 

  • Proactively gather data from diverse internal systems (e.g., CRM platforms, ERP systems, operational databases) and external sources (e.g., public datasets, APIs, third-party vendors, customer surveys). 
  • Apply robust data cleaning techniques such as handling missing values, correcting data types, removing duplicates, and standardizing formats to ensure high data quality. 
  • Validate data accuracy by cross-referencing with source systems, applying logic checks, and collaborating with domain experts to confirm assumptions. 
  • Organize raw data into structured formats—such as data tables, CSV files, or relational databases—making it accessible and ready for analysis by analysts, data scientists, and business stakeholders. 
  • Conduct exploratory data analysis using statistical techniques (e.g., regression, clustering, hypothesis testing) to uncover hidden patterns, anomalies, and relationships within datasets. 
  • Visualize trends over time, segment customer behavior, and identify key performance drivers using tools like matplotlib, seaborn, or built-in Excel charts. 
  • Translate analytical findings into actionable insights that support strategic initiatives such as market expansion, product optimization, or customer retention. 
  • Respond to data-related inquiries from business units by investigating root causes, validating assumptions, and delivering clear, data-backed answers. 
  • Design and build dynamic dashboards that track KPIs, operational metrics, and business performance using visualization tools like Tableau, Power BI, or Excel. 
  • Write efficient SQL queries to extract, join, filter, and aggregate data from relational databases such as MySQL, PostgreSQL, or Microsoft SQL Server. 
  • Leverage programming languages like Python or R to automate data workflows, perform advanced statistical analysis, and build custom data pipelines. 
  • Collaborate with cross-functional teams—including marketing, product, finance, and operations—to understand their goals and translate them into data requirements. 
  • Maintain detailed documentation of data sources, definitions, transformation logic, and business rules to ensure transparency and consistency across reports. 
  • Monitor data integrity by setting up validation checks, reconciling discrepancies, and working with IT or engineering teams to resolve issues. 
  • Help standardize procedures for data handling, reporting, and analysis by creating templates, SOPs, and training materials for team members. 
  • Flexibility to adapt and execute various additional assignments based on evolving needs. 

Mentorship 

  • May provide mentorship, guidance, support, and knowledge-sharing to help less experienced team members develop their skills and grow within their roles. 

Skills and Competencies 

  • Proficiency in SQL for data extraction, transformation, and analysis 
  • Advanced Excel and Google Sheets skills, including pivot tables and complex formulas 
  • Experience with data visualization tools such as Tableau, Power BI, or Excel dashboards 
  • Strong analytical skills with knowledge of statistical methods (e.g., regression, clustering) 
  • Ability to perform exploratory data analysis and identify actionable insights 
  • Familiarity with Python or R for data manipulation and visualization (preferred) 
  • Skilled in cleaning, validating, and transforming large datasets 
  • Excellent communication skills for presenting data to non-technical stakeholders 
  • Collaborative mindset with experience working across departments 
  • Detail-oriented with a focus on data accuracy and consistency 
  • Knowledge of data governance, metadata management, and quality assurance practices 
  • Understanding of data privacy and compliance standards (e.g., GDPR, CCPA) 
  • Ability to identify process inefficiencies and recommend improvements 
  • Experience supporting senior analysts with modeling, forecasting, and reporting 

Experience 

  • Typically, a minimum of 2 years’ related work experience in Data Analytics or a related field is required. 

Education 

  • A bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science, or related discipline)is required. 

Salary Range: The anticipated starting pay range for this position is based on the employee’s primary work location and may be more or less depending upon skills, experience, and education.  These ranges may be modified in the future.   

Location A:$71,000 - $96,000Location B:$78,000 - $106,000Location C:$85,000 - $115,000 

You can view which BC location applies to you here. If you have any questions, please speak with your Recruiter.  

Benefits and Other Compensation:  We provide a comprehensive benefits package that promotes employee health, performance, and success which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time off and parental leave, paid holidays, 401(k) retirement savings plan with employer match, performance-based bonus eligibility, employee referral bonuses, tuition reimbursement, pet insurance and long-term care insurance. Click here to see our full list of benefits.  

About Brown and Caldwell   

Headquartered in Walnut Creek, California, Brown and Caldwell is a full-service environmental engineering and construction services firm with 50 offices and over 2,100 professionals across North America and the Pacific. For more than 75 years, we have created leading-edge environmental solutions for municipalities, private industry, and government agencies. We strive to be the company of choice—to our clients, who benefit from our passion for delivering exceptional quality, and to our employees, present and future, who share our commitment to client service, collaboration, and innovation. Join us, and you will find a home where you can do your best work, reach new levels of expertise, and enjoy exceptional development opportunities. For more information, visit www.brownandcaldwell.com  

This position is subject to a pre-employment background check and a pre-employment drug test.   

Notice to Third Party Agencies: Brown and Caldwell does not accept unsolicited resumes from recruiters or employment agencies. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement and approved engagement request with Brown and Caldwell, Brown and Caldwell reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.    

Brown and Caldwell is proud to be an EEO/AAP Employer. Brown and Caldwell encourages protected veterans, individuals with disabilities, and applicants from all backgrounds to apply. Brown and Caldwell ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act.


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