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Afternoon Data Analyst R Programming Jobs in Lake Forest, IL

MaximaTek

Data Analyst

Chicago, IL · On-site

Partner with product, business, and engineering teams to define key performance indicators (KPIs ... Streamline data collection and reporting workflows using scripting languages like Python or R.

Obie

Data Analyst

Chicago, IL · On-site

$70 - $90/hr

... Engineering, Insurance, Finance & Accounting, and the Executive team in collaboration with Data ... Experience with another analytics tool like python, R, or similar * Experience working with AI (We ...

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 ...

Next Step Systems

Quantitative Analyst

Northbrook, IL · On-site

Quantitative Analyst, Northbrook, IL - The Quantitative Analyst will assist in the research, design ... high-level programming language (R or Python). - Experience working with large data sets ...

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 ...

Transunion

Senior Data Analyst

Chicago, IL

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ...

TransUnion

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/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 ...

Transunion

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... Proven experience with tools such as SQL, R, Python, Mongo DB and BigQuery * Sufficient ability ...

Trans Union LLC

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ...

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

Afternoon Data Analyst R Programming information

See Lake Forest, IL salary details

$33.7K

$81.8K

$134.7K

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 Lake Forest, IL is $81,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 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 Lake Forest, IL?

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

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

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

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

Cities near Lake Forest, IL with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you

Data Analyst

MaximaTek

Chicago, IL • On-site

Other

Posted 19 days ago

Job description

About the Role: Data Analyst

We are seeking a detail-oriented Data Analyst to turn raw data into actionable insights, build interactive dashboards, and support data-driven decision-making across cross-functional teams. In this role, you will analyze complex datasets, maintain data pipelines, and partner with stakeholders to solve business problems and optimize performance.

Core Responsibilities

  1. Data Analysis & Insights: Collect, clean, and analyze large datasets to identify trends, patterns, and operational performance metrics.
  2. Dashboard & Reporting: Design, build, and maintain interactive dashboards and automated reports using tools like Power BI, Tableau, or Looker.
  3. Cross-Functional Collaboration: Partner with product, business, and engineering teams to define key performance indicators (KPIs) and deliver actionable recommendations.
  4. Data Modeling & Querying: Write efficient SQL queries to extract data from databases and data warehouses, maintaining data accuracy and integrity.
  5. Process Automation: Streamline data collection and reporting workflows using scripting languages like Python or R.
  6. Documentation & Quality: Document data definitions, analytical processes, and reporting methodologies to ensure consistency and quality control.

Qualifications

  1. Education: Bachelor’s degree in Data Analytics, Computer Science, Statistics, Information Systems, Business Administration, or a related field (Required).
  2. Experience: 0–5 years of experience in data analytics, business intelligence, or reporting.
  3. Technical Skills (Required):
  • Strong proficiency in SQL for data querying and extraction.
  • Hands-on experience with data visualization platforms (Power BI, Tableau, Looker).
  • Solid understanding of relational databases and data warehouse concepts.
  • Scripting ability in Python or R for data analysis and manipulation (Pandas, NumPy).
  • Advanced knowledge of Microsoft Excel (PivotTables, Advanced Formulas, Power Query).
  1. Preferred Skills:
  • Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist).
  • Familiarity with cloud analytics environments (AWS Redshift, Google BigQuery, Snowflake).
  • Knowledge of statistical methods and basic predictive modeling techniques.

What We Offer

  1. Targeted Placement: Direct marketing to our network of hiring managers in the Data, Technology, and Business Analytics sectors.
  2. Technical Resume Rebuild: Optimization of your profile to highlight data analytics tools, SQL proficiency, and business impact.
  3. Interview Coaching: Guidance on behavioral questions, SQL technical assessments, and data case studies.

Ready to Take the Next Step?

Email your updated resume to: yashwanth.phani@maximatek.com

Apply