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Commission Python Data Analyst Jobs in Illinois (NOW HIRING)

Data Analyst

Chicago, IL · Hybrid

$75K - $95K/yr

Develop and maintain Python notebooks using SQL, Spark, and related technologies for data analysis, exploration, and reporting * Create dashboards that effectively communicate insights to business ...

... • Use Python and modern AI-assisted workflows to rapidly prototype analyses • Identify ... and data visualizations tailored to all partners • Collaborate with strategists, creative ...

Data Analyst

Chicago, IL · On-site

$85K - $110K/yr

... • Use Python and modern AI-assisted workflows to rapidly prototype analyses • Identify ... and data visualizations tailored to all partners • Collaborate with strategists, creative ...

Data analysis tools like Excel and Python preferred. * Exposure to ETL tools, data warehouses, and APIs. * Data Skills: * Data profiling, quality assessment, and reconciliation break analysis. * Data ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

TITLE: Senior Data Analyst Location: Chicago, IL (some travel to McLean, VA maybe required ... Python / PySpark : Skilled in data processing using Databricks or Jupyter Notebooks. * SQL

Role Summary We are looking for two Data Analyst to join our team in Fremont, CA. This is an ... Strong proficiency in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn.

Data Analyst

Chicago, IL · On-site

$74K - $93K/yr

Position Summary The Data Analyst is responsible for analytic data needs of the business unit ... Experience with Coding language such as Python or R. Experience in underwriting analysis. Ryan ...

Data Analyst

Chicago, IL · On-site

$74K - $93K/yr

Position Summary The Data Analyst is responsible for analytic data needs of the business unit ... Experience with Coding language such as Python or R. Experience in underwriting analysis. Ryan ...

Senior Data Analyst

Chicago, IL · On-site

$95K - $115K/yr

As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify opportunities, optimize key metrics, and measure performance across the organization. This is a ...

Position Summary The Data Analyst is responsible for analytic data needs of the business unit ... such as Python or R. • Experience in underwriting analysis. Ryan Specialty is an Equal ...

Data Analyst

Fairview Heights, IL · On-site

$77K - $129K/yr

SQL and relational databases, Data analysis tools (e.g., Python, R, or similar) and Data visualization tools (e.g., Power BI, Tableau, or similar). * Must be able to be onsite 5 days a week. What ...

Data Analyst

Fairview Heights, IL · Hybrid

$77K - $129K/yr

SQL and relational databases, Data analysis tools (e.g., Python, R, or similar) and Data visualization tools (e.g., Power BI, Tableau, or similar). * Must be able to be onsite 5 days a week. What ...

Intermediate experience with programming in Python * Adept in at least one visualization tool such as Tableau * Experience in CRM or sales analytics is helpful * Demonstrated experience with some or ...

Intermediate experience with programming in Python * Adept in at least one visualization tool such as Tableau * Experience in CRM or sales analytics is helpful * Demonstrated experience with some or ...

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Showing results 1-20

Commission Python Data Analyst information

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

To thrive as a Commission Python Data Analyst, you need strong analytical skills, expertise in Python programming, and a solid understanding of statistics and data modeling, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (such as pandas and NumPy), visualization tools (like Matplotlib or Seaborn), and familiarity with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and present findings to stakeholders. These skills and qualities are essential for accurately analyzing commission-based data, driving informed decisions, and supporting business goals.

How does a Commission Python Data Analyst typically collaborate with sales or business teams to drive data-driven decision-making?

As a Commission Python Data Analyst, you will frequently work alongside sales or business development teams to analyze sales performance, identify trends, and develop actionable insights that can boost revenue. You’ll often be tasked with translating raw data into clear, concise reports or interactive dashboards tailored to non-technical stakeholders. Close collaboration is essential; expect to attend regular meetings, discuss data requirements, and provide ongoing support to help teams set and achieve their targets. Your ability to communicate complex findings in an accessible way directly impacts the business’s strategic decisions and your own commission potential.

What is a Commission Python Data Analyst?

A Commission Python Data Analyst is a data professional who specializes in analyzing and interpreting data using the Python programming language, often working on a commission or contract basis. They use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data, helping organizations make data-driven decisions. Their responsibilities may include creating reports, building predictive models, and automating data workflows. These analysts typically work across various industries and are valued for their ability to deliver insights quickly and efficiently.
What are the most commonly searched types of Python Data Analyst jobs in Illinois? The most popular types of Python Data Analyst jobs in Illinois are:

$75K - $95K/yr

Other

Medical, Dental, Vision

Posted 4 days ago


Job description

nar.realtor
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JOIN OUR TEAM >> Data Analyst
Data Analyst
Summary
Title: Data Analyst ID: 1628 Location: Chicago, IL, Washington, DC Group: Finance and IT
More about this job >
Description

Position Summary:

NAR is seeking a Data Analyst to help deliver data-driven insights, analytics solutions, and AI-enabled products that support decision-making across the organization. This role focuses on working directly with business stakeholders to understand analytical requirements, transform complex and fragmented data into actionable information, and build scalable solutions that provide measurable business value. 

The Data Analyst will design and implement data preparation processes, perform advanced analysis, and develop applications and visualizations. They will make data and analysis accessible to non-technical audiences. The role works extensively within the Microsoft Azure and Microsoft Fabric ecosystems and involves close collaboration with data scientists, and business stakeholders in different parts of the organization. 

The successful candidate will contribute to data quality initiatives, AI-assisted analytics workflows, and the development of new solutions that leverage both traditional analytics and AI technologies. The ideal candidate is comfortable working across analytics, visualization, and application development disciplines, with a practical focus on delivering solutions that are reliable, scalable, and widely adopted by the business. 

Duties and Responsibilities:

  • Partner with business stakeholders and non-technical teams to gather requirements, identify opportunities, and deliver data-driven solutions 

  • Extract, transform, clean, and validate data from multiple internal and external sources to support analytics, reporting, and operational decision-making 

  • Develop and maintain Python notebooks using SQL, Spark, and related technologies for data analysis, exploration, and reporting 

  • Create dashboards that effectively communicate insights to business audiences using technologies such as Power BI, Streamlit, Django, and other frameworks 

  • Collaborate with Data Scientists on data quality initiatives, statistical analyses, AI-assisted testing frameworks, and machine learning-related projects 

  • Participate in source control, deployment, and project management processes using tools such as Git and Jira 

  • Other duties, as assigned 


Qualifications:

  • Bachelor's degree in Computer Science or a closely related field. 

  • Minimum of 2+ years of professional experience in data analytics or a related technical role. 

  • Strong proficiency in SQL, including experience writing complex queries. 

  • Strong Python development skills, including working with notebooks, expertise with data analysis libraries (e.g., Pandas, NumPy, SciPy), and use of visualization libraries (e.g., Plotly, Matplotlib). 

  • Experience building dashboards using tools such as Power BI, Streamlit, or Django. 

  • Experience working with cloud-based platforms and services; Microsoft Azure and Microsoft Fabric experience preferred. 

  • Use of Git and use of project management systems such as Jira. 

  • Good grasp of basic statistical concepts. 

  • Ability to communicate complex technical concepts clearly and effectively to non-technical audiences. 

  • Ability to work independently with minimal supervision while managing multiple priorities and deadlines. 

  • Experience with AI, such as the use of AI-code generation, is a positive. 

  • Advanced Microsoft Excel skills for data analysis and reporting are preferred 


Compensation: $75,000 - $95,000 depending on office location

NAR provides comprehensive benefits including health/dental/vision insurance.
NAR is on a hybrid schedule and in the office 3 days a week.


Organizational Overview:

The National Association of REALTORS (NAR) is a team of professionals dedicated to providing world-class service to approximately 1.5 million REALTORS working in the United States and around the world. The real estate industry is fast-paced and fast-changing--each year, our members participate in the sale, lease, and management of real estate. As in every industry, our members' value proposition is constantly being challenged by innovation.
It is our mission to empower REALTORS as they preserve, protect and advance the right to real property for all. We cannot do that without the ideas, passion, and commitment from our talented employees. As our greatest assets, employees are offered their pick of competitive benefits/perks and flexible work options. 

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