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Data Analyst Python Sql Jobs in Carol Stream, IL

Design and deliver scalable web applications using Python frameworks, ensuring intuitive user ... Strong experience with SQL, datalake architectures, and ETL pipelines, including supporting ...

Design and deliver scalable web applications using Python frameworks, ensuring intuitive user ... Strong experience with SQL, datalake architectures, and ETL pipelines, including supporting ...

... SQL, Python, or R to extract meaningful insights * Apply statistical techniques to analyze data ... distributions, correlations, and trends, contributing to the development of robust analytical ...

Design and deliver scalable web applications using Python frameworks, ensuring intuitive user ... Strong experience with SQL, data-lake architectures, and ETL pipelines, including supporting data ...

Actuarial Data Analyst

Chicago, IL · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents ...

Actuarial Data Analyst

Chicago, IL · On-site

$70K - $75K/yr

The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents ...

... Analyst role * Bachelor's degree in Computer Science, MIS, or a related technical field * Deep ... SQL, and backend data work * Experience with Excel as well as a programming language like Python or ...

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

Data Management Work Type: Full Time (Total FTE between 0. 9 and 1. 0) Shift: Shift 1 Work Schedule ... Write complex SQL queries or python code to support analytics needs. • Manage projects ...

Advanced SQL skills * Experience working with offshore teams NICE TO HAVE: * Experience working in the Tax Domain/Industry * Agile Experience Qualifications Data Analysis, Hadoop, Data Modeling, Data ...

Sales Data Analyst

Chicago, IL · Remote

$105K - $115K/yr

Automate data pipelines using Alteryx, Python, or native connector tools. * Utilize SQL to query ... Analysis (25%) * Extract and cleanse data from: * Retailer portals (Retail Link, Partners Online ...

Sales Data Analyst

Chicago, IL · On-site

$105K - $115K/yr

Automate data pipelines using Alteryx, Python, or native connector tools. * Utilize SQL to query ... Lead analytics-driven projects (e.g., new item launch tracking, void closure initiatives ...

Advanced SQL skills * Experience working with offshore teams NICE TO HAVE: * Experience working in the Tax Domain/Industry * Agile Experience Qualifications Data Analysis, Hadoop, Data Modeling, Data ...

SQL used in a technical setting minimum 5 years * Experience in modeling transactional databases and data warehouses using tools like Erwin and in performing data mapping and involved in receiving ...

Senior Data Analyst- Enterprise

Chicago, IL · On-site

$88.60K - $111.80K/yr

Senior Data Analyst- Enterprise At Capital One, data is at the center of everything we do. When we ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

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Data Analyst Python Sql information

See Carol Stream, IL salary details

$35.2K

$85.5K

$140.7K

How much do data analyst python sql jobs pay per year?

As of May 30, 2026, the average yearly pay for data analyst python sql in Carol Stream, IL is $85,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $100,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Carol Stream, IL look for? The top searched job categories for Data Analyst Python Sql jobs in Carol Stream, IL are:
What cities near Carol Stream, IL are hiring for Data Analyst Python Sql jobs? Cities near Carol Stream, IL with the most Data Analyst Python Sql job openings:
Operations Data Analyst

Operations Data Analyst

Entegris

Aurora, IL

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Entegris rating

8.4

Company rating: 8.4 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

47th of 511 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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