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Freelance Python Data Analysis Jobs in Green Bay, WI

Rivi Consulting Group

Java Software emgineer

Green Bay, WI · On-site

$50.25 - $69/hr

... data analysis techniques. * Knowledge of Machine Learning (ML) concepts and algorithms (particularly relevant for optimization, forecasting, anomaly detection in logistics). * Proficiency with Python ...

Core BTS

GCP Data Engineer

Appleton, WI · On-site

$75 - $80/hr

Summary As a Data Engineer on the Data Analytics Data Platform (DADP) team, you analyze, develop ... Python o Strong background in relational database platforms o DevOps/Continuous integration ...

Danaher

Digital Analyst Internships

Green Bay, WI · On-site

$95K - $113K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Core BTS

GCP Solutions Architect

Appleton, WI · On-site

$90 - $95/hr

Summary As a Solution Architect on the Data Analytics Data Platform (DADP) team, you recommend ... o Python-skilled o Strong background in relational database platforms o DevOps/Continuous ...

Valid8 Financial, Inc.

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

Proficiency in Python and SQL; experience with API/JSON integrations. * Experience with statistical analysis and interpretation of data. * Experience with machine learning algorithms for prediction ...

FocusKPI

Marketing Operations Analyst

Green Bay, WI · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Procter & Gamble

Process Manager

Green Bay, WI · On-site

Support engineers, analysts and other Operations team members to resolve escalations through issue ... technology and data models and its current strengths, weaknesses, and gaps P&G's freelancer ...

Procter & Gamble

Process ManagerOn-Site

Green Bay, WI · On-site

Support engineers, analysts and other Operations team members to resolve escalations through issue ... technology and data models and its current strengths, weaknesses, and gaps P&G's freelancer ...

Schneider

AI & Machine Learning Engineer

Green Bay, WI · On-site

$94K - $129K/yr

Perform data analysis and generate insightful reports to support business decisions. Skills and ... Proficient in programming languages such as Python, Java or C++. * Knowledge of data science ...

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Freelance Python Data Analysis information

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How much do freelance python data analysis jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for freelance python data analysis in Green Bay, WI is $57.02, according to ZipRecruiter salary data. Most workers in this role earn between $47.02 and $64.76 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Green Bay, WI? The most popular types of Python Data Analysis jobs in Green Bay, WI are:
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What job categories do people searching Freelance Python Data Analysis jobs in Green Bay, WI look for? The top searched job categories for Freelance Python Data Analysis jobs in Green Bay, WI are:
What cities near Green Bay, WI are hiring for Freelance Python Data Analysis jobs? Cities near Green Bay, WI with the most Freelance Python Data Analysis job openings:
Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Green Bay, WI as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,599 per year, or $57 per hour.

Java Software emgineer

Rivi Consulting Group

Green Bay, WI • On-site

$50.25 - $69/hr

Other

Re-posted 2 days ago

Job description

Java Software Engineer 
 Green Bay, WI (Onsite)
only on w2
 
Core Characteristics and Soft Skills:

Beyond technical proficiency, the right mindset and interpersonal skills are crucial for success on our team. We’d prioritize candidates who demonstrate:

  • Problem-Solving Acumen: The ability to analyze complex problems, break them down, evaluate different approaches, and implement robust, efficient solutions. This includes troubleshooting existing systems and designing new ones.
  • Independence and Initiative: We value engineers who can take ownership of tasks, research potential solutions independently, make informed decisions, and drive work forward with minimal supervision once objectives are clear.
  • Dependability and Accountability: Team members must be reliable, meet commitments, deliver high-quality work, and take responsibility for their contributions.
  • Strong Communication Skills: Clear, concise communication (both written and verbal) is essential. This includes explaining technical concepts to varied audiences, actively listening, providing constructive feedback, and documenting work effectively.
  • Collaboration and Teamwork: Ability to work effectively within a team structure, share knowledge, participate in code reviews, and contribute to a positive team dynamic.
  • Adaptability and Eagerness to Learn: The technology landscape and business needs evolve. We seek individuals who are curious, adaptable, and willing to learn new technologies and methodologies.

Core Technical Skillset:

Our current technology stack forms the foundation of our work. Proficiency or strong experience in the following areas is highly desirable:

  • Backend Development:
    • Java: Deep understanding of Java (latest LTS versions preferred).
    • Spring Boot: Extensive experience building applications and microservices using the Spring Boot framework and its ecosystem (e.g., Spring Data, Spring Security, Spring Cloud).
  • Messaging Systems:
    • Apache Kafka: Solid understanding of Kafka concepts (topics, producers, consumers, partitioning, brokers) and experience building event-driven systems.
  • Containerization & Orchestration:
    • Kubernetes: Practical experience deploying, managing, and troubleshooting applications on Kubernetes.
    • OCP (OpenShift Container Platform): Experience specifically with OpenShift is a significant advantage.
    • AKS (Azure Kubernetes Service): Experience with AKS is also highly relevant.
    • (General Docker knowledge is expected)
  • CI/CD & DevOps:
    • GitHub Actions: Proven experience in creating, managing, and optimizing CI/CD pipelines using GitHub Actions for build, test, and deployment automation.
    • Understanding of Git branching strategies and DevOps principles.
  • Frontend Development:
    • JavaScript: Strong proficiency in modern JavaScript (ES6+).
    • React: Experience building user interfaces with the React library and its common patterns/ecosystem (e.g., state management, hooks).
  • Database & Data Warehousing:
    • Oracle: Experience with Oracle databases, including writing efficient SQL queries, understanding data modeling, and potentially PL/SQL.
    • Snowflake: Experience with Snowflake cloud data warehouse, including data loading, querying (SQL), and understanding its architecture.
  • Scripting:
    • Python: Proficiency in Python for scripting, automation, data manipulation, or potentially backend API development (e.g., using Flask/Django, though Java/Spring is primary).

Domain Understanding (Transportation & Logistics):

While not strictly mandatory, candidates with experience or a demonstrated understanding of the transportation and logistics industry (e.g., supply chain management, freight operations, warehousing, fleet management, routing optimization, TMS systems) will be able to contribute more quickly and effectively. They can better grasp the business context and user needs.

 Additional Valuable Skills:

We are also interested in candidates who may possess skills in related areas that complement our core activities:

  • Data Science & Analytics:
    • Experience with data analysis techniques.
    • Knowledge of Machine Learning (ML) concepts and algorithms (particularly relevant for optimization, forecasting, anomaly detection in logistics).
    • Proficiency with Python data science libraries (Pandas, NumPy, Scikit-learn).
    • Experience with data visualization tools and techniques.
    • Understanding of optimization algorithms (linear programming, vehicle routing problem algorithms, etc.).
  • Cloud Platforms: Broader experience with cloud services (particularly Azure, but also AWS or Google Cloud Platform) beyond Kubernetes (e.g., managed databases, serverless functions, monitoring services).
  • Testing: Strong experience with automated testing practices and tools (e.g., JUnit, Mockito, Cypress, Selenium, Postman/Newman).
  • API Design & Management: Deep understanding of RESTful API design principles, API security (OAuth, JWT), and potentially experience with API gateways.
  • Monitoring & Observability: Experience with tools like Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, Dynatrace, etc., for monitoring application health and performance.
  • Security: Awareness and application of secure coding practices (e.g., OWASP Top 10).
 
 

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