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Entry Level Data Analyst R Programming Jobs in Chicago, IL

Actuarial Data Analyst

Chicago, IL ยท 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 ...

Data Analyst I Lincolnshire, IL 6 month assignment Shift: 1st Hours: 8am-5pm 40 hours per week Hybrid: Tuesday, Wednesday, Thursday- Possible Monday/Friday as required to complete project. Max BR: BR.

Research Data Analyst

Evanston, IL ยท On-site

$56K - $70K/yr

SQL/MySQL/Postgres Programming Languages and Frameworks * PL/SQL * Python Compliance * HIPAA * IRB Analytical * critical thinking * data modeling * database design/ data structure * decision making ...

Data Science Analyst

Chicago, IL ยท Hybrid

$74K - $100K/yr

R; Tableau/STATA; data analysis, insight synthesis, & presentation; AWS; Hadoop/Spark/Dask; HPC; SQL Server. Asynchronous & live coding test. Background check w/ review of conviction history. 4 days ...

Description Data Science Analyst AArete is one-of-a-kind when it comes to consulting firm culture ... Leverage AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms ...

Description Data Science Analyst AArete is one-of-a-kind when it comes to consulting firm culture ... Leverage AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms ...

Data Science Analyst AArete is one-of-a-kind when it comes to consulting firm culture. We're a ... Leverage AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms ...

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Entry Level Data Analyst R Programming information

See Chicago, IL salary details

$13

$33

$63

How much do entry level data analyst r programming jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for entry level data analyst r programming in Chicago, IL is $33.92, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $37.88 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
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 Entry Level Data Analyst R Programming jobs in Chicago, IL? For Entry Level Data Analyst R Programming jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in Chicago, IL look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in Chicago, IL are:
Infographic showing various Entry Level Data Analyst R Programming job openings in Chicago, IL as of June 2026, with employment types broken down into 2% As Needed, 35% Full Time, 54% Part Time, 7% Contract, and 2% Nights. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution, with an average salary of $70,552 per year, or $33.9 per hour.

Actuarial Data Analyst

Core Specialty

Chicago, IL โ€ข On-site

$70K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


Job description

The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is responsible for supporting all lines of business during an exciting time of growth
Key Accountabilities/Deliverables:
  • Execute analysis on data to identify and correct data issues. Extracting data from various sources and transforming that data to perform analysis and create actionable visualizations.
  • Live our Values: Embrace a "bring-it-on" attitude to attack issues and questions within the dept and across the organization.
  • Standardize ad hoc processes and drive continuous improvement for automating and optimizing performance of ongoing processes, including development of data processing pipelines.
  • Help Others Succeed: Act as a key contributor in resolving complex or expediated requests, where end-to-end ownership and analytical skills are needed to provide a solution. As mentioned, we all work and grow together! The more successful one member is, the more successful we all are.
  • Listen to, understand, and break down questions into manageable tasks.
  • Use a variety of applications and technologies to answer simple and complex questions.
  • Provide support for other Analytics areas, such as FP&A, Actuarial, Accounting, Claims, Programs and others as needed

Technical Knowledge and Understanding:
  • Intellectual curiosity: Seeking understanding of the answers to, whys of data. Uncovering patterns in data and visuals that some might take for granted and researching. Looking for trends and outliers that may be actionable.
  • Openness to grow and change: the Company is in its infancy regarding our data environment and our analytics platform. Will need to be agile, willing to lean new techniques and tools with us as we grow.
  • Candor: Openness to providing and receiving constructive feedback to facilitate both individual development as well as elevating the overall capabilities of the Company
  • Communication skills: Willingness to ask questions to gain understanding; collaborate effectively both with direct colleagues as well as those in other functional areas; ability to influence and gain buy-in from key stakeholders.

Experience:
  • Bachelor's degree in an analytical, or related, field: Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like.
  • 1-3 years of experience in a professional environment working with data, analytics.
  • Functional knowledge, aptitude and understanding of basic data/analytics principles: One to many relationships, many to many relationships, reuse and linkage, data quality, validation data modeling and more.
  • Experience with/or working knowledge of Lakehouse, Warehouse, Semantic models, Datamarts, SQL Databases and other relational data containers.
  • Experience and/or aptitude in a Microsoft Fabric environment and the tool set included: Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents, prompt engineering.
  • Ability to convert raw data into usable and visualized representations that convey understanding and/or enables accurate execution of needed action.

The expected pay range for the role is $70,000 - $75,000. The specific offer will depend on an applicant's skills and experiences. The disclosed pay range estimate may also be adjusted for the applicable geographic differential for the location in which the position is filled.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over work authorization sponsorship now or in the future for this position.
#LI-Hybrid
At Core Specialty, you will receive a competitive salary and opportunities for professional development and advancement. We offer medical, dental, vision, and life insurances; short and long-term disability; a Company-match of 100% of a 6% contribution 401(k) plan; an Employee Assistance Plan; Health Savings Account, Flexible Spending Account, Health Reimbursement Account, and a wellness program