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Python Analytics Jobs in Illinois (NOW HIRING)

Purple Drive

Python with React

Chicago, IL

We are seeking a highly skilled Python & React Full Stack Developer with strong hands-on experience ... Strong communication, analytical, and problem-solving skills. Preferred Qualifications * Experience ...

Vergence

Senior ETL/Python Developer

Springfield, IL · On-site

$120K - $162K/yr

Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of ... Python development for data engineering and automation * 3+ years of experience with Spark-based ...

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Python Analytics information

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What are the key skills and qualifications needed to thrive as a Python Analytics professional?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What does a Python analytics do?

A Python analytics professional uses Python programming to analyze data, develop models, and generate insights for decision-making. They often work with data analysis libraries like pandas and NumPy, and may create visualizations or automate data processes. Strong programming skills and understanding of statistical methods are essential for this role.

What is the salary of Python analytics?

The salary for a Python analytics role typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and NumPy tend to earn higher salaries.

What are popular job titles related to Python Analytics jobs in Illinois?

For Python Analytics jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Python Analytics jobs in Illinois look for?

The top searched job categories for Python Analytics jobs in Illinois are:

Python Analytics jobs near you

Predoctoral Appointee - Python Developer

Argonne National Laboratory

Lemont, IL

$50.75 - $69.75/hr

Full-time

Posted 16 days ago

Job description

Argonne National Laboratory in the Vehicle and Mobility Systems department (VMS) is seeking a full-timePredoctoral Appointeeto support the development, enhancement, and maintenance of Python-based software applications, AI-enabled tools and research computing tools. This position focuses on software engineering and application development to support scientific and technical workflows, including desktop applications, web applications, automation, testing, data interfaces, and database-connected tools.

The successful candidate will contribute to the design, implementation, testing, and support of maintainable, scalable, and user-oriented software solutions that support research activities and operational needs. The role may also involve applying AI and machine learning techniques to analyze data, improve workflows, develop predictive or adaptive capabilities, and enhance the functionality of research software tools.The position requires strong programming skills, sound software development practices, and the ability to work effectively with multidisciplinary teams.

The Predoctoral Appointee will contribute to the development of Python-based software frameworks, applications, and utilities used in support of scientific and engineering projects. The role includes software design, coding, testing, debugging, documentation, deployment support, and ongoing maintenance of software systems and workflows.

Key Responsibilities:

  • Designing, developing, testing, and maintaining Python-based software applications and utilities.

  • Developing software components that support data ingestion, transformation, storage, retrieval, and application integration.

  • Applying machine learning frameworks and tools, including TensorFlow and PyTorch

  • Leveraging large language models such as Claude, ChatGPT, and related AI assistants to support software development, data analysis, automation, and intelligent research applications.

  • Interfacing software applications with databases and structured data sources, includingMongoDB,SQLite, relational databases,XML, andJSON-based systems.

  • Writing and maintainingSQLqueries and supporting database-driven application functionality.

  • Developing automation tools and scripts to improve workflow efficiency, reliability, and reproducibility.

  • Supporting web scraping and browser automation workflows usingPython,Selenium, and related tools.

  • Performing unit testing, functional testing, debugging, troubleshooting, and code validation using tools such aspytest,unittest/pyunit, or similar testing frameworks.

  • Developing plotting and visualization components using libraries such asMatplotlib.

  • Supporting technical workflows that may also involveMATLABfor scripting, prototyping, or interoperability with research tools.

  • Participating in software configuration management and collaborative development using tools such asGit,SVN, andJIRA.

  • Supporting software usability, maintainability, and long-term sustainability in a research and development environment.

Position Requirements

  • Recent or soon-to-be completed master's degree in computer science, software engineering, computer engineering, information systems, applied mathematics, engineering, or a related technical field.

  • Experience withPython software development.

  • Experience using Python libraries and frameworks such asNumPy,Pandas, andMatplotlib.

  • Experience interfacing software with databases and structured data systems, includingMongoDB,SQLite, relational databases,XML, andJSON.

  • Experience writing and maintainingSQLqueries.

  • Experience with web scraping, browser automation, or web interaction tools such asSelenium.

  • Experience with software testing usingpytest,unittest/pyunit, or similar testing frameworks.

  • Experience withPython desktop and web developmentframeworks such as Tkinter,Django,Flask is a bonus

  • Strong written and verbal communication skills.

  • Strong problem-solving skills, attention to detail, and organizational skills.

  • Ability to work independently and collaboratively in a team research environment.

  • Ability to model Argonne's Core Values:Impact, Safety, Respect, Integrity, and Teamwork.

  • This position requires an on-site presence at the Argonne campus in Lemont, Illinois.

Preferred Qualifications:

  • Experience building and maintaining software applications in a scientific, engineering, research, or technical environment.

  • Familiarity with software development life cycle practices, including source control, code review, testing, deployment, and documentation.

  • Experience with software architecture, modular design, and reusable code development.

  • Experience with scripting and workflow automation.

  • Familiarity with API integration, web services, or system interoperability.

  • Experience with packaging and distributing Python applications.

  • Familiarity with user interface design and usability considerations for desktop or web applications.

  • Background inscience, engineering, transportation, energy systems, economics, or a related applied domain.

Job Family

Temporary

Job Profile

Predoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full timeThe expected hiring range for this position is $58,297.00-$97,161.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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