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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 ... Statistics, Mathematics, MIS, Engineering, or related disciplines). * Knowledge of network and ...

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... entry-level positions. You'll receive a status update email for each application, so be sure to ... Computer Science, Cybersecurity, Data Science, Statistics, Mathematics, MIS Engineering, or related ...

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... entry-level positions. You'll receive a status update email for each application, so be sure to ... Computer Science, Cybersecurity, Data Science, Statistics, Mathematics, MIS Engineering, or related ...

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... entry-level positions. You'll receive a status update email for each application, so be sure to ... Science, Statistics, Mathematics, MIS, Engineering, or related disciplines) • Knowledge of ...

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... entry-level positions. You'll receive a status update email for each application, so be sure to ... Computer Science, Cybersecurity, Data Science, Statistics, Mathematics, MIS Engineering, or related ...

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This is an exciting opportunity for students or entry level candidates who are passionate about ... Perform feature engineering to enhance data models for machine learning applications. * Collaborate ...

... Engineering, Mathematics/Statistics - Demonstrating proficiency in AWS CloudFormation and Azure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Partner with developers and data engineers to ensure delivered solutions meet documented ... Familiarity with bureau / statistical reporting and insurance regulatory data. * Exposure to Agile ...

Showing results 21-40

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.

Financial Risk & Markets- Data & Technology - Experienced Associate

Pwc

Chicago, IL • On-site

$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 Financial Risk & Markets- Data & Technology - Experienced Associate, you will leverage advanced analytical techniques to extract insights from large datasets, driving data-driven decision-making for our clients. Within our Technology Consulting practice, you will focus on utilizing data manipulation, visualization, and statistical modeling to support clients in solving complex business problems and optimizing their operations to achieve strategic goals.
As an Associate, you will be driven by curiosity and contribute reliably to client engagements and projects. You will adapt to working with diverse clients and team members, each presenting unique challenges and opportunities for growth. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. In this role at PwC, you will build a brand for yourself, opening doors to more opportunities as you navigate through the firm. You will apply a learning mindset, appreciate diverse perspectives, and develop your potential while actively listening and expressing ideas clearly. This position offers a dynamic environment where you can grow your skills and deepen your understanding of the business context.
Responsibilities
- Conducting complex data analysis to extract insights and support data-driven decision-making
- Utilizing advanced analytical techniques to optimize client operations and achieve strategic goals
- Leveraging skills in data manipulation, visualization, and statistical modeling to solve business problems
- Developing and maintaining data pipelines and integration processes to validate data quality and integrity
- Creating dashboards and reports using tools like Power BI and Tableau to visualize data trends and performance metrics
- Applying machine learning algorithms and predictive modeling to enhance data analysis capabilities
- Collaborating with team members and clients to gather information and analyze facts for informed insights
- Implementing data security measures and validation processes to protect sensitive information
- Engaging in research and algorithm development to improve data analysis methodologies
- Supporting client engagements by adapting to varying challenges and scopes within a fast-paced environment
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 data analysis and visualization tools
- Utilizing machine learning techniques for financial risk analysis
- Engaging in complex data modeling and statistical analysis
- Applying algorithm development skills in data-driven projects
- Excelling in dashboard creation and data integration tasks

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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