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Afternoon Data Analyst R Programming Jobs in Naperville, IL

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

Apex Fintech Solutions

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

Collabera

Data Analyst

Chicago, IL

Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position ... The position is a part of the Chicago Bakery Team, and reports into the CI Engineers. They will ...

World's Finest Chocolate

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/yr

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 ...

World's Finest Chocolate

Senior Data Analyst

Chicago, IL

$110K - $130K/hr

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 ...

Ask IT consulting

Data Analyst

Chicago, IL · On-site

We have openings for Business Systems/Data Analyst for one of our client at Richardson, TX or ... Experience in developing functional specifications for business process refinement, re-engineering ...

Inspire11

Data Analyst

Chicago, IL · On-site +1

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully ... Collaborating cross-functionally with data engineers, architects, and solution owners to deliver ...

Inspire11

Data Analyst

Chicago, IL · On-site

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully ... Collaborating cross-functionally with data engineers, architects, and solution owners to deliver ...

ULINE

Data Analyst

Glenview, IL · On-site

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

Sralab

Data Analyst II

Chicago, IL

Utilizes Application Programming Interfaces (APIs) to interact with and manipulate multiple systems ... Intermediate Experience with ANSI SQL, Python, R, SPSS, and/or Cerner Command Language (CCL)

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

Utilizes Application Programming Interfaces (APIs) to interact with and manipulate multiple systems ... Intermediate Experience with ANSI SQL, Python, R, SPSS, and/or Cerner Command Language (CCL)

Brillio Inc

Data Analyst

Rosemont, IL

Big Data Analytics and Digital Experiences such as IoT, Wearables, UX, Mobile,IP-led solutions and engineered software solutions. Our 2,500 odd employees serve more than 350 global clients, a ...

CooperCompanies

Data Analyst

Naperville, IL · On-site

We are looking for a Data Implementation Analyst to join CooperSurgical and help build Embryo ... Experience with Excel as well as a programming language like Python or Lua * High attention to ...

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

Afternoon Data Analyst R Programming information

See Naperville, IL salary details

$33.9K

$82.5K

$135.8K

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

As of Jul 6, 2026, the average yearly pay for afternoon data analyst r programming in Naperville, IL is $82,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Naperville, IL? For Afternoon Data Analyst R Programming jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Naperville, IL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Naperville, IL are:
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Afternoon Data Analyst R Programming jobs near you

Senior Statistical Analyst

Tata Consultancy Service Limited

Chicago Ridge, IL • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Required Skillsets:
Proficiency in SAS / R programming languages to Program and validate ADaM, TFL and statistical analyses
Proficiency in using statistical software and programming tools
Understanding of statistical methods, data analysis techniques, and clinical research processes.
Advance knowledge of CDISC standards and therapeutic area (Oncology, Immunology, Neuroscience etc.)
Strong attention to detail and quality Focus
Problem-solving skills (Ability to identify and troubleshoot programming issues)
Effective communication skills (both written and verbal)
Ability to interact professionally with statisticians, study teams, and external partners
Ability to work collaboratively in a team environment and adapt to changing priorities and deadlines.
Key Responsibilities:
1. Collaborate with statisticians to develop, review, and approve Statistical Programming Plans (SPP). Implement Statistical Analysis Plans (SAP) and SPP to create ADaM data specifications.
2. Program and validate ADaM and statistical analyses using programming languages (e.g., SAS, R), ensuring adherence to established standards and guidelines.
3. Generate tables, listings, and figures (TLFs) for clinical study reports, safety reports, and other deliverables, ensuring accuracy, consistency, and adherence to regulatory requirements.
4. Develop and maintain programming documentation, such as annotated program code, programming specifications, and validation plans.
5. Perform quality control checks on statistical programming deliverables to ensure accuracy, consistency, and adherence to programming standards.
6. Collaborate with cross-functional teams to support ad hoc data analyses, data visualization, and exploratory analyses as needed.
7. Ability to lead the development and implementation of standard programming macros, utilities, and tools to improve efficiency and consistency in programming tasks.
8. Stay updated with industry best practices, regulatory guidelines, and emerging technologies in statistical programming and data analysis.
9. Lead the planning and execution of statistical programming-related audits, inspections, and regulatory submissions, ensuring compliance with relevant regulations and guidelines.
10. Collaborate with statisticians and study teams to provide programming support, address data-related queries, and contribute to study-related publications.
11. Performs assigned task(s) in accordance with customer requirements within agreed timelines and Quality.
12. Escalates unresolved issues appropriately to Team Lead /Project Lead. Tracks and follows up on all issues raised. Provides timely status updates. Proactively highlight risk.
13. Coach/Mentor/Train new team members and line function as per requirement.
Salary Range: $120,000- 140,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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