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Afternoon Data Analyst R Programming Jobs in Aurora, IL

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 ...

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 ...

Federal Signal

Corp Data Analyst II

Downers Grove, IL · On-site

$65K - $95K/yr

Proficiency in SQL and data manipulation tools (e.g., Python, R) preferred * Self starter; intellectual curiosity * Foundational level skills in finance, forecasting and related analysis including ...

Federal Signal

Corp Data Analyst II

Downers Grove, IL · Hybrid

$65K - $95K/yr

Proficiency in SQL and data manipulation tools (e.g., Python, R) preferred * Self starter; intellectual curiosity * Foundational level skills in finance, forecasting and related analysis including ...

The Hartford

Business Data Analyst

Chicago, IL · Hybrid

$80K - $120K/yr

Consultant Bus Data Analysis - GA08BE We're determined to make a difference and are proud to be an ... We use the latest DATA technologies, software engineering practices, Agile delivery framework, and ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field * 5+ years of experience in investment management, financial services, or a data-intensive operations ...

Sentinel

Enterprise Data Analyst

Downers Grove, IL

$80K - $120K/yr

Advanced programming skills in Python for data manipulation * Data Sources: Proven track record of developing code to extract, transform, and load data from ERP, Billing, CRM, and core business ...

Sentinel

Enterprise Data Analyst

Downers Grove, IL · On-site +1

$80K - $120K/yr

Advanced programming skills in Python for data manipulation * Data Sources: Proven track record of developing code to extract, transform, and load data from ERP, Billing, CRM, and core business ...

New

Core Specialty

Actuarial Data Analyst

Chicago, IL · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... agents, prompt engineering. * Ability to convert raw data into usable and visualized ...

Sentinel

Enterprise Data Analyst

Downers Grove, IL

$80K - $120K/yr

Advanced programming skills in Python for data manipulation * Data Sources: Proven track record of developing code to extract, transform, and load data from ERP, Billing, CRM, and core business ...

New

Stellar IT Group

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Chicago, IL (some travel to McLean, VA maybe required) Duration: 7+ months Role Overview We are seeking experienced Senior Data Analysts to support advanced data engineering and analytics initiatives.

Core Specialty

Actuarial Data Analyst

Chicago, IL · On-site

$70K - $75K/yr

The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... agents, prompt engineering. * Ability to convert raw data into usable and visualized ...

Iatinsurancegroup

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

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

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 Jul 21, 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 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 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 July 2026, with employment types broken down into 1% As Needed, 54% Full Time, 34% Part Time, 1% Temporary, 3% Contract, and 7% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $81,932 per year, or $39.4 per hour.
Data Analyst Lead

Data Analyst Lead

Resource Innovations

Chicago, IL • On-site

$65K - $95K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Resource Innovations is seeking a Data Analyst Lead to join our growing team in Chicago, IL. We are seeking a highly skilled and motivated Data Analyst LEad with a strong background in data analysis to join our dynamic team. As a Data Analyst Lead you will think strategically and apply your skills in project management, business analysis, data visualization, change management, troubleshooting and training to implement business processess and applications.
Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we're constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we're leading the charge to power change.
Duties and Responsibilities
  • Create and maintain reports and dashboard, identify enhancements, track and promote usage across team
  • Analyze program data to evaluate market potential and come up with recommendations.
  • Perform a variety of quality control checks to maintain and assure the accuracy and consistency of data in tracking systems
  • Perform database queries (Redshift DW) and program data analysis as requested
  • Gather and prioritize user requirements
  • Perform and/or manage user acceptance and regression testing
  • Write user manuals, train users, and provide technical support on reporting tools
  • Manage projects and client communication. The ability to influence stakeholders and work closely with them to determine acceptable solutions.
  • Other duties as assigned

Requirements
Minimum Requirements
  • Minimum of 3 years of professional experience working as a data analyst or data scientist is required
  • Bachelor's degree in an analytical discipline, such as engineering, mathematics, statistics, finance, or computer programming is strongly preferred
  • Experience with data manipulation and visualization tools, such as Tableau.
  • A proven grasp of database and analysis tools such as PostgreSQL and Excel, including demonstrated analytical skills to solve business issues.
  • The successful candidate should also have excellent written and oral communication skills, and is able to translate complex concepts concisely
  • Most importantly, this individual should display a positive, team-oriented attitude to match our friendly work environment

Preferred skills, education and experience
  • Create, interpret, and maintain complex SQL queries in Redshift or Tableau
  • Experience working with programming languages such as Python or NodeJS
  • Interest in sustainability and passionate about making a meaningful impact on the environment.
  • Experience working in a fast-paced environment, managing multiple deliverables, while remaining flexible

Benefits
About Resource Innovations
Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we're constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we're leading the charge to power change.
Resource Innovations is an Equal Opportunity Employer, committed to ensuring equal employment opportunities for all job applicants and employees without regard to race, color, religion, national origin, gender, age, disability, marital status, genetics, protected veteran status, sexual orientation, or any other protected status. In addition to federal law requirements, Resource Innovations complies with applicable state and local laws governing non-discrimination in employment in every location in which the company does work.
Compensation & Benefits
Resource Innovations offers competitive salaries based on a candidate's skills, experience and qualifications for the position. The compensation range for the base salary for this position is $65,000-$95,000. In addition to base pay, employees may be eligible for a discretionary annual bonus. The stated salary represents the expected compensation for this position. Final compensation will be determined based on factors such as the candidate's experience, education and location.
At Resource Innovations, we believe supporting our people is essential to delivering impact. We offer a comprehensive benefits package designed to promote health, financial security, and work-life balance. This includes three weeks of paid vacation annually, paid holidays, a 401(k) retirement plan with employer match, medical, dental and vision coverage, parental leave, an employee assistance program, commuter benefits, and additional supplemental offerings.
Employment with Resource Innovations is contingent upon the successful completion of a comprehensive background check and reference check. If applicable to the position, a pre-employment drug screen may also be required.
The above job description and job requirements are not intended to be all inclusive. Resource Innovations retains the right to make changes or adjustments to job descriptions and/or job requirements at any time without notice.
Resource Innovations logo

About Resource Innovations

Sourced by ZipRecruiter

Resource Innovations is a women-led organization offering software-enabled clean energy solutions for utilities as well as commercial, industrial, and residential energy customers. Our experts design and implement a suite of leading-edge services to support the rapidly changing industry through the clean energy transition. We leverage diversity across our team to accelerate energy innovation and make clean and sustainable energy more available, accessible, and affordable.

Industry

Environmental consulting services

Company size

51 - 200 Employees

Headquarters location

Half Moon Bay, CA, US

Year founded

2016

Social media

Twitter

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