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Weekend Python Data Analyst Jobs in Vernon Hills, IL

Rappel

Decarbonization Data Analyst

Mundelein, IL · On-site

$85K - $100K/yr

The Data Analyst will also support in evaluating data quality and sensitivity, as well as crafting ... Build and maintain python data pipelines for data cleaning and ingestion, integrating both customer ...

MaximaTek

Data Analyst

Chicago, IL · On-site

Streamline data collection and reporting workflows using scripting languages like Python or R. * Documentation & Quality: Document data definitions, analytical processes, and reporting methodologies ...

1872 Consulting

Data Analyst

Chicago, IL · Hybrid

We are big on automating data movement, so you'll also have an opportunity to work with Python or ... Experience working as a Business Analyst, or gathering requirements for projectsExperience using ...

1872 Consulting

Data Analyst

Chicago, IL · Hybrid

We are big on automating data movement, so you'll also have an opportunity to work with Python or ... Experience working as a Business Analyst, or gathering requirements for projectsExperience using ...

National Association of REALTORS

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 ...

Unchain Data

Compliance Senior Data Analyst

Chicago, IL · On-site

$110 - $160/hr

They will possess skills in data analytics, SQL, Python, Jira, large dataset analysis, data reconciliation/validation, and API based integrations. Experience working with APIs and webhooks to ...

Stellar IT Group

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

PartsSource

Data Analyst

Hoffman Estates, IL · On-site

Experience with Python or R for data manipulation and statistical analysis. * Familiarity with data visualization tools (Tableau, Power BI) or BI platforms. * Experience in SaaS, healthcare, or ...

PartsSource

Data Analyst

Hoffman Estates, IL · On-site

Experience with Python or R for data manipulation and statistical analysis. * Familiarity with data visualization tools (Tableau, Power BI) or BI platforms. * Experience in SaaS, healthcare, or ...

Wolf Soccer Club

Remote Data Analyst

Waukegan, IL · On-site

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

3B Staffing LLC

Snowflake developer

Chicago, IL · On-site

$50.75 - $69.50/hr

SQL * Python * Data Analysis * Good problem Solving skills Nice to have: Datastage ETL experience * Design and Develop ETL pipelines in and out of data warehouse using combination of Python and ...

Wolf Soccer Club

Remote Data Analyst

Carol Stream, IL · On-site

Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau). * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Publicis Groupe Holdings B.V

Data Analyst

Chicago, IL · Hybrid

The Data Analyst helps support all aspects of analytic initiatives from conception to completion ... Ability to program in Python and/or Databricks * Experience with digital marketing analytics tools ...

3B Staffing LLC

Snowflake developer

Chicago, IL · On-site

$50.75 - $69.50/hr

SQL * Python * Data Analysis * Good problem Solving skills Nice to have: Datastage ETL experience * Design and Develop ETL pipelines in and out of data warehouse using combination of Python and ...

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All JobsPython Data Analyst JobsWeekend Python Data Analyst JobsWeekend Python Data Analyst Jobs in Vernon Hills, IL

Weekend Python Data Analyst information

See Vernon Hills, IL salary details

$33.1K

$80.5K

$132.5K

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

As of Sep 4, 2026, the average yearly pay for weekend python data analyst in Vernon Hills, IL is $80,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,900.00 and $94,500.00 per year, depending on experience, location, and employer.

What is a Weekend Python Data Analyst?

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?

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 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 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 cities near Vernon Hills, IL are hiring for Weekend Python Data Analyst jobs?

Cities near Vernon Hills, IL with the most Weekend Python Data Analyst job openings:

Weekend Python Data Analyst jobs near you

Decarbonization Data Analyst

Rappel

Mundelein, IL • On-site

$85K - $100K/yr

Other

Medical, Dental, Vision, Retirement

Posted 4 days ago

Key responsibilities

  • Build and maintain python data pipelines for data cleaning and ingestion.

  • Lead data validation and analysis for assigned customers, assessing data quality and developing analysis methodologies.

  • Collaborate with teams to embed and enhance data monitoring, ensuring data consistency and quality over time.

Job description


Apply here: https://rappelclimate.com/about#career


Location:

Pasadena, CA; Oakland, CA

Full time (hybrid)


The Decarbonization Data Analyst’s role is to support the solutions and product teams by processing, transforming, and assessing critical customer, market, and institutional data streams. The Data Analyst will also support in evaluating data quality and sensitivity, as well as crafting new analytical tools. The ideal candidate will seamlessly liaise with both technical and customer-centric teams, possessing a passion for leveraging data to address challenges and a strong foundation in data engineering and quantitative analysis.

Key Responsibilities:

  • Build and maintain python data pipelines for data cleaning and ingestion, integrating both customer-specific and external unstructured datasets into our modeling platform.
  • Lead data validation and analysis for assigned customers, including energy, asset, and telematics data streams. Independently assess data to develop appropriate data analysis methodologies and recommendations. 
  • Spearhead independent workstreams to collect new data on decarbonization levers and greenhouse gas accounting, reporting, and standards. 
  • Collaborate with decarbonization solutions and technical product teams to embed and enhance data monitoring, ensuring consistency and quality across models over time.
  • Design and build SQL-based logic and queries that power customer and internal visibility for next-generation product. Stay abreast of external trends and leverage modern technologies to solve business problems including but not limited to automation.


Desired Experience:

  • A minimum of 1-2 years in a dedicated data analyst role, showcasing a track record of diving deep into data, extracting insights, and informing business decisions.
  • Demonstrated ability to think analytically, coupled with an eye for detail. The candidate should also possess robust documentation skills, ensuring clarity and comprehension when detailing methodologies, tools, and databases.
  • Demonstrated proficiency with Python, familiarity with other programming languages is a plus. 
  • Hands on experience with SQL database design, development, and optimization.
  • Familiarity with cloud resources in Azure (preferred), AWS, or GCP. Comfortable working within a containerized environment (e.g., Docker-based deployments) maintained by the engineering team; deep DevOps experience is not required.
  • Comfort flexing across the data spectrum, from building production-grade pipelines and queries to lighter-touch tasks like research, manual data entry, and quick turnaround analysis, based on what the team needs.
  • Proactive in setting priorities, displaying initiative, and delivering results, even amidst changing requirements and challenges.
  • Prior exposure to climate, sustainability, energy, or related field, or equivalent combination of education and experience sufficient to perform duties of the job.
  • Thrives in high performing team environment: clearly and confidently assert unique perspectives, proactively collaborate with team members, own individual workstreams while targeting and celebrating team success.

‍

Compensation and benefits:

  • Competitive salary commensurate with experience (target $85,000-$100,000)
  • Employee stock option grant at early-stage, fast-growing startup
  • Company-supported healthcare, dental, and vision
  • 401K available

Apply