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Entry Level Statistical Programmer Jobs in Chicago, IL

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

New

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

New

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Ability to incorporate a variety of statistical and machine learning techniques. * Basic ...

New

Summary The Junior Network Engineer Junior is an entry level role focused on supporting the ... Day to day monitoring of the network, collecting and preparing statistical data for analysis on ...

Summary The Junior Network Engineer Junior is an entry level role focused on supporting the ... Day to day monitoring of the network, collecting and preparing statistical data for analysis on ...

Junior Network Engineer

Chicago, IL · On-site

$33 - $38/hr

Summary The Junior Network Engineer Junior is an entry level role focused on supporting the ... Day to day monitoring of the network, collecting and preparing statistical data for analysis on ...

Summary The Junior Network Engineer Junior is an entry level role focused on supporting the ... Day to day monitoring of the network, collecting and preparing statistical data for analysis on ...

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... statistics, data science, computer science, or other quantitative discipline. * Programming in ...

Demand Planner

South Holland, IL · On-site

$80K - $90K/yr

... from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human ...

... Statistics - Demonstrating proficiency in AWS CloudFormation and Terraform - Utilizing Ansible and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Statistical Programmer information

See Chicago, IL salary details

$87K

$151.7K

$256.5K

How much do entry level statistical programmer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level statistical programmer in Chicago, IL is $151,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $164,800.00 per year, depending on experience, location, and employer.

What does an entry level statistical programmer do?

An Entry Level Statistical Programmer assists in analyzing data using statistical software, such as SAS or R, primarily in industries like pharmaceuticals, healthcare, or research. They are responsible for coding, cleaning, and organizing datasets, generating tables, listings, and figures, and ensuring data accuracy. These programmers work closely with statisticians and data managers to support clinical trials or research projects. The role serves as a foundation for more advanced programming and data analysis positions.

What are the key skills and qualifications needed to thrive as an entry level statistical programmer?

To thrive as an Entry Level Statistical Programmer, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools, statistical software (like SAS or R), and version control systems is typically required, and SAS certification can be an advantage. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for this role. These skills and qualities are crucial for accurate data analysis, efficient collaboration, and producing reliable results in data-driven environments.

What are some common challenges faced by entry level statistical programmers when transitioning from academic projects to real-world clinical trial data?

Entry level statistical programmers often find the transition to industry challenging due to the complexity of real-world clinical trial data, strict regulatory requirements, and the need to adhere to standardized processes like CDISC. Unlike academic projects, the work environment emphasizes collaboration with statisticians, data managers, and clinical teams, making communication and teamwork vital. Additionally, maintaining high-quality documentation and learning to use industry-specific tools and programming standards are crucial for success. Seeking mentorship and being proactive in learning these processes can help new programmers adapt more quickly.

What is the difference between Entry Level Statistical Programmer vs Data Analyst?

AspectEntry Level Statistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; basic programming skills (SAS, R)Bachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical or clinical research settings; focus on data processing and programmingVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsCorporations, consulting firms, healthcare organizations

While both roles involve working with data, Entry Level Statistical Programmers primarily focus on programming and data management within clinical or research settings, whereas Data Analysts interpret data to inform business decisions across various industries.

What are the most commonly searched types of Statistical Programmer jobs in Chicago, IL?

The most popular types of Statistical Programmer jobs in Chicago, IL are:

What are popular job titles related to Entry Level Statistical Programmer jobs in Chicago, IL?

For Entry Level Statistical Programmer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Statistical Programmer jobs in Chicago, IL look for?

The top searched job categories for Entry Level Statistical Programmer jobs in Chicago, IL are:

Infographic showing various Entry Level Statistical Programmer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $151,732 per year, or $72.9 per hour.

Risk & Regulatory- Financial Services - Statistical and Credit Risk Modeling - Experienced Asso...

Pwc

Chicago, IL

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

The Opportunity
As a Risk & Regulatory- Financial Services - Statistical and Credit Risk Modeling - Experienced Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Technology Consulting practice, you will focus on utilizing data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As an Associate, you will be driven by curiosity, adapting to a fast-paced environment while contributing to client engagements and projects. You will build meaningful client connections, manage diverse perspectives, and grow your personal brand by deepening your technical skills and understanding your strengths.
In this role at PwC, you will apply a learning mindset and take ownership of your development, actively listening and expressing ideas clearly. You will gather information from various sources to analyze facts and discern patterns, committing to understanding how the business works and building commercial awareness. You will learn and apply professional and technical standards, upholding the Firm's code of conduct and independence requirements. This position offers the chance to develop your potential and sustain performance, all while delivering quality work that drives value for clients and success for the team.
Responsibilities
- Analyzing large datasets to extract insights and support data-driven decision-making
- Utilizing statistical modeling techniques to address complex business challenges
- Developing and maintaining data pipelines to streamline data integration and processing
- Creating dashboards and visualizations using tools like Power BI and Tableau to communicate findings effectively
- Conducting exploratory data analysis to identify trends and patterns in financial data
- Implementing data quality improvement plans to enhance data integrity and reliability
- Collaborating with team members to gather and analyze information from diverse sources
- Applying machine learning algorithms to develop predictive models for risk analysis
- Leveraging Python and SQL for data manipulation and analysis tasks
- Supporting client engagements by providing data-driven insights and recommendations
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in statistical and credit risk modeling
- Utilizing data analysis tools like Alteryx and Tableau
- Engaging in complex data analysis and predictive analytics
- Developing skills in machine learning and data science
- Applying a learning mindset to adapt in fast-paced environments

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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