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Weekend 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

Weekend Python Data Analyst information

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

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

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

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

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

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:
What cities in Illinois are hiring for Weekend Python Data Analyst jobs? Cities in Illinois with the most Weekend Python Data Analyst job openings:

$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
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Title: Data Analyst ID: 1628 Location: Chicago, IL, Washington, DC Group: Finance and IT
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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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