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Full Time Python Data Analysis Jobs in Illinois (NOW HIRING)

... analysis, dashboards, insights, and governance practices that enable decisionmaking, operational ... Design and deliver scalable web applications using Python frameworks, ensuring intuitive user ...

... analysis, dashboards, insights, and governance practices that enable decision-making, operational ... Design and deliver scalable web applications using Python frameworks, ensuring intuitive user ...

Data Engineer, Cumberland/FICCO

Chicago, IL · On-site

$118K - $141K/yr

... Python data science ecosystem • Strong understanding of option and future products and their ... analysis • An understanding of the financial data vendor landscape and product offerings • ...

Lead Data Scientist

Mossville, IL · On-site

$128K - $208K/yr

Analytical Programming experience with Snowflake, Python * Data visualization experience in PowerBI ... This position requires the candidate to work full-time at the Mossville, IL or Irving, TX office

Data Analyst

Chicago, IL

$160K - $166K/yr

... analysis; 3 years of experience with Python; 3 years of experience with SQL server; 3 years of experience with advanced formulas, pivot tables, and data visualization in Excel; and 2 years of ...

Data Analyst

Chicago, IL

$160K - $166K/yr

... analysis; 3 years of experience with Python; 3 years of experience with SQL server; 3 years of experience with advanced formulas, pivot tables, and data visualization in Excel; and 2 years of ...

Data Analyst

Chicago, IL · On-site

$160K - $166K/yr

... analysis; 3 years of experience with Python; 3 years of experience with SQL server; 3 years of experience with advanced formulas, pivot tables, and data visualization in Excel; and 2 years of ...

Senior Data Analyst - People Analytics

Chicago, IL · On-site

$88K - $111K/yr

... FP&A stakeholders using Qlik or similar BI tools (Tableau, Power BI) * Build and maintain Python ... Base salary is only one component of total compensation; all full-time, permanent positions are ...

Data Analyst

Chicago, IL · On-site

$85K - $110K/yr

... Python for data analysis, and automation • Database and cloud platform fluency for data management (SQL, AWS) • Experience working with large and different datasets • Experience building ...

Compliance Data Analyst

Chicago, IL · On-site

$85K - $100K/yr

Strong proficiency in Python and SQL, with hands-on experience using data analysis libraries such as Pandas, Polars, and NumPy, and visualization tools such as Plotly, Matplotlib, or Seaborn

Compliance Data Analyst

Chicago, IL · On-site

$85K - $100K/yr

Strong proficiency in Python and SQL, with hands-on experience using data analysis libraries such as Pandas, Polars, and NumPy, and visualization tools such as Plotly, Matplotlib, or Seaborn

Compliance Data Analyst

Chicago, IL · On-site

$85K - $100K/yr

Strong proficiency in Python and SQL, with hands-on experience using data analysis libraries such as Pandas, Polars, and NumPy, and visualization tools such as Plotly, Matplotlib, or Seaborn

Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code using object-oriented design. * Demonstrated ability to take data science, ML, or causal inference ...

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Showing results 1-20

Full Time Python Data Analysis information

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What are the key skills and qualifications needed to thrive as a Full Time Python Data Analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.
What are the most commonly searched types of Python Data Analysis jobs in Illinois? The most popular types of Python Data Analysis jobs in Illinois are:
What job categories do people searching Full Time Python Data Analysis jobs in Illinois look for? The top searched job categories for Full Time Python Data Analysis jobs in Illinois are:
Operations Data Analyst

Operations Data Analyst

Entegris

Aurora, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Entegris rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

79th of 518 rated manufacturers


Job description

Job Title:

Operations Data Analyst

Job Description:

Here at Entegris, we use advanced science to enable technologies that transform the world, and we are seeking employees who have the drive to continue that mission.

The Role:

Our site is seeking a highly skilled Data Analyst to support Entegris by partnering across R&D, Materials Quality, Manufacturing, Supply Chain, and Digital teams to ensure critical data is defined, structured, and transformed into usable, trusted, and sustainable datasets.

As a batch chemical manufacturer serving the semiconductor industry, we require the highest standards of quality, traceability, and control. The Data Analyst in this role will play a critical part in improving data health, enabling analytics and digital solutions, and ensuring futurestate data sustainability by standardizing data definitions, collaborating with IT on improving data pipelines, and strengthening the processes and tools that generate and manage data.

Entegris is a mid-sized company that values learning, growth, and professional development. This position bridges business process knowledge, continuous improvement, and analytics by translating prioritized business data needs into meaningful analysis, dashboards, insights, and governance practices that enable decisionmaking, operational excellence, and digital transformation.

What You'll Do:

  • Partner with crossfunctional teams (R&D, Materials Quality, Manufacturing, Supply Chain, CI, and Digital/IT) to understand business processes and define critical data elements, metrics, and data requirements.
  • Translate business and operational needs into welldefined, structured, and governed processes, resulting in reliable data sets that enable analytics, reporting, and digital solutions.
  • Work with the IT Data team to Design, build, and maintain reliable, scalable data pipelines that transform raw data into curated, usable datasets aligned to business priorities.
  • Improve data quality, consistency, and usability by identifying gaps, root causes, and process issues impacting data health.
  • Drive improvements to data generation processes and tools to ensure future data is sustainable, standardized, and fit for purpose.
  • Use Power Automate, Power Apps, and the Power Platform to streamline and unify datacollection systems into automated, scalable workflows.
  • Design and deliver scalable web applications using Python frameworks, ensuring intuitive user experiences and robust backend data integration.
  • Develop data systems connected to internal platforms, APIs, and analytics pipelines to enable streamlined workflows.
  • Establish and reinforce data standards, definitions, and documentation to enable alignment and shared understanding across teams.
  • Collaborate with analytics, digital, and IT teams to ensure data foundations support advanced analytics, automation, and digital initiatives.
  • Prioritize data work based on business value and critical data needs, balancing nearterm use cases with longterm data health.
  • Support continuous improvement efforts by enabling factbased problem solving through accessible, reliable data.
  • Reinforce ownership and stewardship of data across functions to ensure improvements are embedded and sustained.

What We Seek:

  • B.S. degree in Engineering, Computer Science, Information Systems, or a related discipline.
  • Three to five years' experience (or more) in data analysis, web application development, analytics or data enablement within a manufacturing, quality, or operational environment.
  • Strong experience with SQL, datalake architectures, and ETL pipelines, including supporting datamodel development, debugging dataflow issues, and managing deployment of endtoend data solutions.
  • Strong objectoriented programming skills in Python (Django, Flask, FastAPI) for web application development.
  • Demonstrated experience working with crossfunctional stakeholders to define data requirements and translate them into technical solutions.
  • Strong problemsolving and systemsthinking skills with the ability to connect business processes to data structures and flows.
  • Experience creating dashboards (Python, Power BI), reports, and curated datasets that support analytics and decisionmaking.
  • Strong communication skills with the ability to explain data concepts to nontechnical audiences and influence without authority.

Required Experience:

  • Experience developing web applications for data collection, including consolidating multiple dataentry interfaces into a unified, efficient, and userfriendly platform.
  • Data discovery and definition (understanding source systems, data generation processes, and business context).
  • Data analysis and transformation to create clean, usable, and scalable datasets.
  • Improving data quality through process, tooling, and governance improvements.
  • Partnering with business and technical teams to prioritize and deliver business processes and data solutions aligned to business needs.

Outstanding Candidates Will Have:

  • Experience supporting manufacturing, quality, R&D, or regulated environments where data accuracy and traceability are critical.
  • Proficiency with Power Automate, Power Apps, and the Power Platform, including designing automated workflows, building custom apps, integrating connectors, and optimizing endtoend datacollection processes.
  • Strong understanding of how process discipline and standard work enable sustainable, highquality data.
  • Experience working alongside Digital, IT, or analytics teams to support dashboards, advanced analytics, or digital solutions.
  • Familiarity with continuous improvement principles and how data enables operational excellence.
  • Ability to coach teams on data thinking, data health, and sustainable data practices.

Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.

  • Compensation: $86,000.00 - $108,000.00 per year with actual pay dependent on candidate overall skills
  • Annual bonus eligibility
  • Progressive paid time off policy that empowers you to take the time you need to recharge
  • Generous 401(K) plan with an impressive employer match with no delayed vesting
  • Excellent health, dental and vision insurance packages to fit your needs
  • Education assistance to support your learning journey
  • A values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence

Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.

At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.

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