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Afternoon Data Analyst R Programming Jobs in Arlington Heights, IL

Apex Informatics

Data Analyst

Chicago, IL · Hybrid

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 ...

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 ...

Chicago Public Schools

Data Analyst, OSD

Chicago, IL · On-site

... R to extract meaningful insights * Apply statistical techniques to analyze data distributions ... correlations, and trends, contributing to the development of robust analytical models * Create and ...

Chicago Public Schools

Data Analyst, OSD

Chicago, IL · On-site

... R to extract meaningful insights * Apply statistical techniques to analyze data distributions ... correlations, and trends, contributing to the development of robust analytical models * Create and ...

United IT

Data Analyst

Chicago, IL · On-site

In this role, you will collaborate with business stakeholders, technology teams, and data engineers to analyze complex datasets, develop reporting solutions, and support high-priority projects. The ...

United IT Solutions

Data Analyst

Chicago, IL · On-site

In this role, you will collaborate with business stakeholders, technology teams, and data engineers to analyze complex datasets, develop reporting solutions, and support high-priority projects. The ...

Capital One

Senior Data Analyst- Enterprise

Chicago, IL · On-site

$88.60K - $111.80K/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 ...

SynergisticIT

Data Analyst

Elk Grove Village, IL · On-site +1

Why Tech Companies Hire Our Candidates Today's employers are looking for developers, engineers, and ... Data Analysts & Data Visualization Engineers * Business Intelligence Analysts * Data Scientists ...

eTeam

Data Analyst

Schaumburg, IL · On-site

Integration Analyst This role is part of our engineering organization and is responsible for ... Required skills: • 5 years of experience as an integration analyst, healthcare data analyst or ...

SynaptiCure Inc.

Staff Data Analyst

Chicago, IL · Remote

... Analytics Engineer, BI Architect, or equivalent) with proven impact in complex, high-growth ... Experience using Python or R for advanced statistical modeling or machine learning * Deep ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100.50K/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 ...

1872 Consulting

Data Analyst

Chicago, IL · On-site

Collaborate with business analysts, engineers, and other team members to deliver overall team outcomes * Create appropriate documentation that allows stakeholders to understand the steps of data ...

Harris & Harris

Data Analyst

Chicago, IL · Hybrid

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

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 ...

SynergisticIT

Data Analyst

Carol Stream, IL · On-site

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

PeopleCaddie

Data Analyst

Chicago, IL · Remote

$80 - $85/hr

Bachelor's degree in Computer Science, Information Systems, or equivalent professional experience. * 7-10+ years of overall IT experience in data engineering, data analysis, or software development ...

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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 May 28, 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 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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 Arlington Heights, IL? The most popular types of Data Analyst R Programming jobs in Arlington Heights, IL are:
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:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Arlington Heights, IL as of May 2026, with employment types broken down into 78% Full Time, 14% Part Time, 5% Contract, and 3% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $82,648 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Apex Informatics

Chicago, IL • Hybrid

Other

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

Job description

Location: Hybrid 3x a week onsite in Chicago IL (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: 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, your duties will include system analysis of various applications and databases and translating those to documentation. You may also be required to create high level acceptance criteria using that documentation.
To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.
Responsibilities:
• Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems.
• Relate current systems to industry standards to help build a new system.
• Manage the execution of data analytics projects to drive value and gain insight from information.
• Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated manner.
• Use data analysis to detect patterns leading to more efficient testing and data quality.
• Perform data analytics to identify and mitigate audit risks and achieve data automation, reconciliation, traceability, lineage and transparency.
• Use data analytics to provide actionable, timely and accurate data to drive business insights around regulatory risk, compliance, operations and finance.
• Familiar with data sourcing, data capture, data transformation and data preparation techniques
• Familiarity with Data Binning and K-means Clustering and applying those techniques.
• Working knowledge of core financial processes and related risks and controls and underlying data structures would be beneficial.
Skills and Experience:
• A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems.
• Minimum 5 years of professional experience, with a minimum 2 years of relevant Data Analytics experience
• Extensive experience in technical business analysis in the fintech industry
• Exceptional communication skills toward facilitating the use of new software systems
• Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc. would be a plus
• Knowledge of ACL, databases, and hands on experience / theoretical knowledge in SQL including writing stored procedures and data extraction / manipulation using queries would be a plus

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