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Afternoon Data Analyst R Programming Jobs in Chicago, IL

Experience with SQL, Python, R or other programming tools. * Experience with project management ... Project manage key data analytics initiatives by leading requirements gathering, coordinating ...

Perform feature engineering to enhance data models for machine learning applications. * Collaborate ... Strong analytical and problem-solving skills. * Ability to work independently and in a team ...

Data Analyst

Lake Forest, IL ยท On-site

$30 - $35/hr

Data Analyst / Report Developer Lake Forest, IL Hybrid role (Onsite 3x/week) $30-$35 per hour ABOUT THE ROLE Join as a Data Analyst / Report Developer (Label Conversion) and play a key role in a ...

Business Data Analyst

Chicago, IL ยท On-site

$6.1K - $8.7K/mo

... Python, R and Scala. * Requires one (1) year of administrative experience in a data analytics ... specialist role in a public or business organization. Minimum Qualifications * Requires knowledge ...

Data Analyst

Chicago, IL ยท 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 ...

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 ...

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 ...

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 ...

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)

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)

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 ...

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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Afternoon Data Analyst R Programming information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

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

As of Jul 7, 2026, the average yearly pay for afternoon data analyst r programming in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 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 the most commonly searched types of Data Analyst R Programming jobs in Chicago, IL? The most popular types of Data Analyst R Programming jobs in Chicago, IL are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Chicago, IL? For Afternoon Data Analyst R Programming jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Chicago, IL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Chicago, IL with the most Afternoon Data Analyst R Programming job openings:
Data Analyst - Commercial

Data Analyst - Commercial

AirLife

Deerfield, IL โ€ข Remote

Full-time

Posted 28 days ago


Job description


COMPANY DESCRIPTION

At AirLife, we are dedicated to improving the quality of every breath. Excellence with Every Breath is not just a tag line, but the way we work and take care of our customers. With a mindset to evolve, innovate, and grow, we are a premier manufacturer of the highest-quality and market-leading breathing consumables. This growth philosophy has positioned us to increase our global footprint and business reach, impacting even more people around the world. Our expanding family of the most trusted brands offers a product portfolio that spans the continuum of care from first responder to home care, with safety, patient comfort, and clinical performance in mind. Collective expertise allows us to provide quality products and experiences to our patients, customers, and our people. Our values of Customer first, Differentiate with our People, Bias for Action, Continuous Improvement and Accountability define who we are and how we work. Join us!

POSITION SUMMARY

The Data Analyst will develop and manage reporting solutions that support multiple business functions at AirLife, with a strong commercial focus including sales operations, pricing, marketing, and finance. This role will place emphasis on project management across the data analytics team, as well as delivering individual analytics projects of their own. Key responsibilities will include reconciling distributor tracings, contracts, and GPO affiliations to ensure data accuracy, alignment, and compliance across systems. Beyond reporting, the role will drive process improvement initiatives through optimization and automation to enhance efficiency and data reliability across commercial workflows.

POSITION QUALIFICATIONS

Knowledge, Skills, & Abilities:

  • SQL data modeling in a relational database.
  • Power BI report development and deployment.
  • Experience working with AI as a tool to increase efficiency.
  • Good analytical and problem-solving skills.
  • Project management experience.
  • Reconciling distributor sales and rebates for different mixes of GPOs and contracts.
  • Proficiency in MS Office Applications, including Excel.
  • Establishes good working relationships with business users and other analysts to support the overall AirLife reporting culture.
  • Understanding general business processes and how reporting/automation can contribute to accurate decision making and increased efficiency.
  • Strong written and verbal communication skills
  • Ability to work independently and as part of a team.
  • Ability to work in a fast-paced and changeable environment, balancing multiple priorities, and ensuring high-quality outcomes.

Level of Experience:

  • Experience with Power BI, Power Query or other business intelligence tools.
  • Experience with SQL, Python, R or other programming tools.
  • Experience with project management lifecycles.
  • Experience with general business processes, requirements gathering and report building.

Level of Education:

  • Bachelor's degree or equivalent combination of education and experience.
  • Bachelor's degree in information science, data management, computer science or related field preferred.

Travel:

  • Less than 10%.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Creates and maintains reporting for key business users, primarily through Power BI and Excel. This includes being part of the entire report development process from requirements gathering, data modeling, development, deployment and ongoing maintenance.
  • Project manage key data analytics initiatives by leading requirements gathering, coordinating stakeholders, managing timelines, and delivering solutions.
  • Find opportunities to help business users and increase efficiency throughout the business.
  • Understand and communicate with business users about new and existing reports, general AirLife data and AirLife business processes.
  • Works as an SME of our data and tools to help inform business users on options and best practices to support their functions.

OTHER RESPONSIBILITIES

  • Uphold and embody AirLifeโ€™s values in all aspects of work.
  • Demonstrate accuracy and thoroughness in daily work; look for ways to improve and promote quality & safety.
  • Inspire the trust of others; treat people with respect and dignity and embrace the value of diversity.
  • Use time efficiently; perform job accurately, thoroughly, and conserve Company resources to improve profits.
  • Contribute to building and maintaining a positive team environment.
  • Assure all policies and guidelines are implemented and followed.

QUALITY POLICY

At AirLife, Quality is our promise. It is our commitment to customer satisfaction and our dedication to product excellence in an evolving global healthcare market. This promise is kept through a continuously improving and effective Quality Management System and compliance to Regulatory Requirements.

DEIA STATEMENT

At AirLife, we are committed to building a diverse workforce and an inclusive workplace that reflects the communities and customers we serve. We believe our philosophy on Diversity, Equity, Inclusion, and Advancement (DEIA) encourages excellence and equips us to serve an evolving global marketplace.

Please note: The responsibilities outlined above are not exhaustive and may evolve over time. The role holder may be required to undertake additional duties as reasonably expected to meet the needs of the company.



AirLife logo

About AirLife

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Grand Rapids, MI, US

Year founded

1981