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Entry Level Statistical Programmer Jobs in Chicago, IL

IBM

Data Engineer Intern 2027

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 ...

IBM

Data Engineer Intern 2027

Chicago, IL · On-site

... 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 ...

IBM

Data Engineer Intern 2027

Chicago, IL · On-site

... 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 ...

IBM

Data Engineer Intern 2027

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 ...

IBM

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 ...

SDI Presence

Junior Network Engineer

Chicago, IL · Hybrid

$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 ...

SDI Presence

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 ...

SDI Presence

Junior Network Engineer

Chicago, IL · Hybrid

$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 ...

SDI Presence

Junior Network Engineer

Chicago, IL · Hybrid

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 ...

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All JobsStatistical Programmer JobsEntry Level Statistical Programmer JobsEntry Level Statistical Programmer Jobs in Chicago, IL

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 27, 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:

Entry Level Statistical Programmer jobs near you
Infographic showing various Entry Level Statistical Programmer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% Internship, 78% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $151,732 per year, or $72.9 per hour.

Entry-Level Data Analyst

Chicago, IL • On-site

Synergie Systems
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Synergie Systemsexternal

Other

Posted 9 days ago

Job description

Job Title: Entry-Level Data Analyst

Location: Chicago, IL

Job Type: Only W2

Job Description:

·       Collect, clean, and analyze data from multiple sources.

·       Write SQL queries to extract and manipulate data.

·       Create reports and dashboards using tools such as Power BI or Tableau.

·       Perform data validation and identify data quality issues.

·       Analyze trends, patterns, and business performance metrics.

·       Prepare daily, weekly, and monthly reports.

·       Support senior analysts and business teams with ad-hoc data requests.

·       Maintain and update datasets, reports, and dashboards.

·       Communicate analytical findings to technical and non-technical stakeholders.

·       Document data sources, processes, and reporting procedures.

·       Assist with automating repetitive reporting tasks.

Required Skills:

·       SQL — SELECT, WHERE, JOIN, GROUP BY, subqueries, aggregations.

·       Excel — PivotTables, VLOOKUP/XLOOKUP, formulas, charts, data cleaning.

·       Basic understanding of data analysis and statistics.

·       Familiarity with Power BI or Tableau.

·       Good analytical and problem-solving skills.

·       Strong attention to detail.

·       Good written and verbal communication skills.

Preferred Skills:

·       Python, especially Pandas and NumPy.

·       Power BI/DAX or Tableau.

·       Basic knowledge of relational databases.

·       Understanding of ETL/data pipelines.

·       Basic knowledge of statistics.

·       Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

·       Experience working with large datasets.

Qualifications:

·       Bachelor’s degree in computer science, Data Analytics, Statistics, Mathematics, Business Analytics, Engineering, or a related field.

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