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Afternoon Data Analyst R Programming Jobs in Crystal Lake, IL

Spruce Infotech

Data Analyst

Lake Forest, IL · On-site

The ideal candidate will work closely with business stakeholders, data engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate ...

ULINE

Data Analyst

Waukegan, 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 ...

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 ...

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 ...

ULINE

Data Analyst

Waukegan, 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 ...

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 ...

ACCsurance

Senior Data Analyst

Mundelein, IL · On-site

$87K - $110K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

Varsity Tutors

Data Science Tutor

Lake Forest, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Dekalb, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Buffalo Grove, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Schaumburg, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Motorola

Senior Data Scientist (Hybrid)

Schaumburg, IL · Hybrid

$120K - $140K/yr

Python / R Programming to write clean, scalable data science code and maintain custom software modules * System Log Analytics to observe system health metrics and interpret log data patterns ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Crystal Lake, IL

Afternoon Data Analyst R Programming information

See Crystal Lake, IL salary details

$33K

$80.1K

$131.9K

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

As of Aug 25, 2026, the average yearly pay for afternoon data analyst r programming in Crystal Lake, IL is $80,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,100.00 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Crystal Lake, IL?

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

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

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

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

Cities near Crystal Lake, 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 Crystal Lake, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $80,142 per year, or $38.5 per hour.

Data Analyst

Spruce Infotech

Lake Forest, IL • On-site

Contractor

Re-posted 19 days ago

Job description

We are seeking a detail-oriented Data Analyst with strong experience in data mapping, data analysis, and data transformation. The ideal candidate will work closely with business stakeholders, data engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate data migration and integration across systems.
Key Responsibilities
  • Gather, analyze, and document business and data requirements.
  • Perform source-to-target data mapping for data migration, integration, and reporting projects.
  • Analyze complex datasets to identify data quality issues, inconsistencies, and transformation requirements.
  • Create and maintain mapping documents, data dictionaries, and metadata repositories.
  • Work with business users to understand data elements, relationships, and business rules.
  • Validate data mappings and transformation logic through testing and reconciliation activities.
  • Collaborate with ETL developers, Data Engineers, and QA teams to ensure accurate implementation of mappings.
  • Conduct data profiling and data quality assessments.
  • Support data governance initiatives by documenting data lineage and business definitions.
  • Prepare reports, dashboards, and analytical insights as required.
Required Skills
  • 5+ years of experience as a Data Analyst.
  • Strong experience in Data Mapping and Source-to-Target Mapping (STM).
  • Proficiency in SQL for data analysis and validation.
  • Experience with data migration, data integration, and ETL processes.
  • Strong understanding of relational databases and data models.
  • Experience with data profiling and data quality analysis.
  • Ability to create detailed mapping specifications and functional documentation.
  • Excellent analytical, problem-solving, and communication skills.
Preferred Skills
  • Experience with ETL tools such as Informatica, Talend, SSIS, or DataStage.
  • Knowledge of cloud data platforms (AWS, Azure, or GCP).
  • Experience with BI tools such as Power BI, Tableau, or Looker.
  • Familiarity with data governance and master data management concepts.
Education
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.

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