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Afternoon Data Analyst R Programming Jobs in Evanston, IL

Rappel

Decarbonization Data Analyst

Mundelein, IL · On-site

$85K - $100K/yr

... engineering and quantitative analysis. Key Responsibilities: * Build and maintain python data ... pipelines for data cleaning and ingestion, integrating both customer-specific and external ...

ULINE

Data Analyst

Glenview, IL

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 ...

Consumers Credit Union

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

As a Data Analyst, you will process, and analyze large datasets to uncover trends, patterns, and ... Experience with data visualization tools, programming languages, SQL, and Microsoft applications ...

Zynga

Data Analyst

Chicago, IL · On-site

$77K - $114K/yr

Intermediate experience with programming in Python * Adept in at least one visualization tool such as Tableau * Experience in CRM or sales analytics is helpful * Demonstrated experience with some or ...

Myconsumers

Data Analyst

Lake Forest, IL · On-site

$68 - $109/hr

As a Data Analyst, you will process, and analyze large datasets to uncover trends, patterns, and ... Experience with data visualization tools, programming languages, SQL, and Microsoft applications ...

Consumers Credit Union

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

As a Data Analyst, you will process, and analyze large datasets to uncover trends, patterns, and ... Experience with data visualization tools, programming languages, SQL, and Microsoft applications ...

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 Ability Lab

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)

ULINE

Data Analyst

Waukegan, IL

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 ...

Publicis Groupe Holdings B.V

Data Analyst

Chicago, IL · Hybrid

Provide SQL programming, under general direction, in the execution of data analysis that will contribute to the final project deliverables * Appropriately account for the timeliness and quality of ...

Consumers Credit Union

Data Analyst

Lake Forest, IL · On-site

$67K - $108K/yr

As a Data Analyst, you will process, and analyze large datasets to uncover trends, patterns, and ... Experience with data visualization tools, programming languages, SQL, and Microsoft applications ...

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 · On-site

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 ...

EquipmentShare

Financial Data Analyst

Chicago, IL · On-site

Future Financial Data Analyst Opportunity with EquipmentShare! EquipmentShare is accepting ... Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred EquipmentShare is ...

Aquent

Data Analyst (212647)

Mundelein, IL · On-site

Data Analyst Client Location: Hybrid; Foster City CA (3 Days Onsite/Weekly) Pay Comments: W2 ... engineering. * Define, track, and report on key performance indicators (KPIs) related to fleet ...

New

Brillio Inc

Data Analyst

Rosemont, IL · On-site

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 ...

Resource Innovations

Data Analyst Lead

Chicago, IL

$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 ...

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

Afternoon Data Analyst R Programming information

See Evanston, IL salary details

$32.6K

$79.3K

$130.5K

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

As of Sep 5, 2026, the average yearly pay for afternoon data analyst r programming in Evanston, IL is $79,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,100.00 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 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 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 most commonly searched types of Data Analyst R Programming jobs in Evanston, IL?

The most popular types of Data Analyst R Programming jobs in Evanston, IL are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Evanston, IL?

For Afternoon Data Analyst R Programming jobs in Evanston, IL, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Evanston, IL look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Evanston, IL are:

What cities near Evanston, IL are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Evanston, 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 Evanston, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $79,306 per year, or $38.1 per hour.

Decarbonization Data Analyst

Rappel

Mundelein, IL • On-site

$85K - $100K/yr

Other

Medical, Dental, Vision, Retirement

Posted 5 days ago

Key responsibilities

  • Build and maintain python data pipelines for data cleaning and ingestion.

  • Lead data validation and analysis for assigned customers, assessing data quality and developing analysis methodologies.

  • Collaborate with teams to embed and enhance data monitoring, ensuring data consistency and quality over time.

Job description


Apply here: https://rappelclimate.com/about#career


Location:

Pasadena, CA; Oakland, CA

Full time (hybrid)


The Decarbonization Data Analyst’s role is to support the solutions and product teams by processing, transforming, and assessing critical customer, market, and institutional data streams. The Data Analyst will also support in evaluating data quality and sensitivity, as well as crafting new analytical tools. The ideal candidate will seamlessly liaise with both technical and customer-centric teams, possessing a passion for leveraging data to address challenges and a strong foundation in data engineering and quantitative analysis.

Key Responsibilities:

  • Build and maintain python data pipelines for data cleaning and ingestion, integrating both customer-specific and external unstructured datasets into our modeling platform.
  • Lead data validation and analysis for assigned customers, including energy, asset, and telematics data streams. Independently assess data to develop appropriate data analysis methodologies and recommendations. 
  • Spearhead independent workstreams to collect new data on decarbonization levers and greenhouse gas accounting, reporting, and standards. 
  • Collaborate with decarbonization solutions and technical product teams to embed and enhance data monitoring, ensuring consistency and quality across models over time.
  • Design and build SQL-based logic and queries that power customer and internal visibility for next-generation product. Stay abreast of external trends and leverage modern technologies to solve business problems including but not limited to automation.


Desired Experience:

  • A minimum of 1-2 years in a dedicated data analyst role, showcasing a track record of diving deep into data, extracting insights, and informing business decisions.
  • Demonstrated ability to think analytically, coupled with an eye for detail. The candidate should also possess robust documentation skills, ensuring clarity and comprehension when detailing methodologies, tools, and databases.
  • Demonstrated proficiency with Python, familiarity with other programming languages is a plus. 
  • Hands on experience with SQL database design, development, and optimization.
  • Familiarity with cloud resources in Azure (preferred), AWS, or GCP. Comfortable working within a containerized environment (e.g., Docker-based deployments) maintained by the engineering team; deep DevOps experience is not required.
  • Comfort flexing across the data spectrum, from building production-grade pipelines and queries to lighter-touch tasks like research, manual data entry, and quick turnaround analysis, based on what the team needs.
  • Proactive in setting priorities, displaying initiative, and delivering results, even amidst changing requirements and challenges.
  • Prior exposure to climate, sustainability, energy, or related field, or equivalent combination of education and experience sufficient to perform duties of the job.
  • Thrives in high performing team environment: clearly and confidently assert unique perspectives, proactively collaborate with team members, own individual workstreams while targeting and celebrating team success.

‍

Compensation and benefits:

  • Competitive salary commensurate with experience (target $85,000-$100,000)
  • Employee stock option grant at early-stage, fast-growing startup
  • Company-supported healthcare, dental, and vision
  • 401K available

Apply