1

Freelance Python Data Analyst Jobs in Wisconsin (NOW HIRING)

Product Design Engineer

Milwaukee, WI · On-site

$127K - $152K/yr

Experience utilizing Microsoft Excel for data analysis and proficiency in MS Power BI, SQL, Python, Data Visualization, and Reporting preferred. Previous experience with ERP systems such as SAP in an ...

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash / Resource Manager / Innovizant LLC Phone : 630-685 ...

Extremely efficient in Python and R. Extremely efficient in identifying right analytics model ... MS in AI/Data Science would also be a plus. Qualifications Data Science, Analysis, Python, R ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

... Python preferred) * Basic understanding of data warehousing concepts * Experience with Git or version control tools * Strong problem-solving and analytical skills Preferred * Exposure to cloud ...

Conduct exploratory data analysis to cull actionable insights using analytical rigor and ... Experience using modern analytics tools, programming languages, and cloud platforms such as Python ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Data Engineer (MedInsight)

Appleton, WI · On-site +1

$93K - $177K/yr

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, reliability, and cost efficiency. * Design Data Models: Develop and maintain data marts ...

Data Engineer (MedInsight)

Brookfield, WI · On-site +1

$93K - $177K/yr

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, reliability, and cost efficiency. * Design Data Models: Develop and maintain data marts ...

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Collaborate with data engineers, analysts, and business stakeholders to translate requirements into ... Proficiency in SQL and Python * Strong experience with ETL frameworks and data pipeline design

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

... Python, Spark, and SQL. * Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. * Integrate Databricks with other data sources ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

... Python, Spark, and SQL. * Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. * Integrate Databricks with other data sources ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

... Python, R, PowerShell, or others). Strong Analytical and problem-solving skills Demonstrated ... Experience with MLOps pipelines (DVC, Airflow, etc.) Experience with API data integrations ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

... Python, Spark, and SQL. * Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. * Integrate Databricks with other data sources ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

... Python, Spark, and SQL. * Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. * Integrate Databricks with other data sources ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

... Python, Spark, and SQL. * Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. * Integrate Databricks with other data sources ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

... Python, Spark, and SQL. * Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. * Integrate Databricks with other data sources ...

next page

Showing results 1-20

Freelance Python Data Analyst information

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

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

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

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 supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

Can you do freelancing as a data analyst?

Freelance Python data analysts can work independently on projects for clients, often using skills in data cleaning, analysis, and visualization with tools like Python and SQL. Freelancing offers flexibility in schedule and project choice but requires self-marketing, client management, and a strong portfolio to succeed.

Will AI replace data analysts?

AI tools can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, making strategic decisions, and communicating insights. The role of a freelance Python data analyst involves skills in programming, statistical analysis, and data visualization, which remain essential despite advancements in AI. Therefore, AI is more likely to augment rather than fully replace data analysts in the foreseeable future.

How much does a Python freelancer make?

A freelance Python data analyst typically earns between $25 and $100 per hour, depending on experience, project complexity, and client budget. Experienced analysts with specialized skills in data visualization, machine learning, or big data tools can command higher rates, often working on short-term or long-term projects remotely.

What does a Freelance Python Data Analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

Can I be a data analyst with just Python?

A freelance Python data analyst can perform many data analysis tasks using Python libraries such as pandas, NumPy, and matplotlib. However, developing skills in SQL, data visualization, and understanding of business context often enhances job prospects and effectiveness in the role.

How does a Freelance Python Data Analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.
What are the most commonly searched types of Python Data Analyst jobs in Wisconsin? The most popular types of Python Data Analyst jobs in Wisconsin are:
What are popular job titles related to Freelance Python Data Analyst jobs in Wisconsin? For Freelance Python Data Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Wisconsin look for? The top searched job categories for Freelance Python Data Analyst jobs in Wisconsin are:
What cities in Wisconsin are hiring for Freelance Python Data Analyst jobs? Cities in Wisconsin with the most Freelance Python Data Analyst job openings:
Product Design Engineer

Product Design Engineer

MARS Solutions Group

Milwaukee, WI • On-site

$127K - $152K/yr

Contractor

Posted 20 days ago

Be an early applicant


Job description

Position Title: Product Design Engineer

Duration: 08 Months with possibility of extension

Location: Milwaukee, WI 53204 - HYBRID

Shift hours: 1st shift hours

Job Description:

You will act as subject matter expert on environmental product compliance requirements for substances of concern in products, energy efficiency of products, and end-of-life responsibilities. In this dynamic role, your strategic, systems-thinking approach to problem solving will be applied to define and execute global environmental program requirements and establish company policies and objectives.

You will have the opportunity to address emerging Environment Conformity requirements.

You will influence stakeholders and decision-makers through data driven analysis to secure support for programs as necessary.

You will work hybrid in our Milwaukee or Mayfield Heights locations. You will sit within the Technology, Standards and Conformity Team. 

Responsibilities:

Assist with the development and implementation of project plans to enable company compliance with product environmental standards and directives. Present strategies to stakeholders and decision-makers to secure support for programs as necessary.

Manage and interpret complex data sets to understand regulatory impact and support decision making.

Identify and work with internal and external groups within Company to analyze and communicate regulatory trends and positions and share information with impacted business groups.

Support internal and external customers by addressing requirements for product compliance information, including communication strategies.

Plan and execute projects of significant and strategic importance to the corporation.

Engage company supply chain stakeholders to facilitate compliance programs.

Influence stakeholders and drive support for compliance programs across the company.

Present information and obtain support for compliance programs on an enterprise-wide basis.

Manage aggressive objectives in context of higher-level business goals and constraints.

Requirements

Ability to travel 10% of the time

Bachelor's Degree preferred in Science, Technology, Engineering, Math, Data Science or related technical field with knowledge in the application of basic engineering and manufacturing principles, theories, and techniques.

5+ years' experience in Manufacturing/Development Engineering Organization, preferably in an electronics manufacturing organization or environmental compliance programs.

Proven experience managing projects related to environmental regulations and sustainability with the application of strong project management skills.

Demonstrated ability to frame and manage complex and ambiguous tasks effectively.

Adept at identifying requirements, conducting complex data analysis on large datasets derived from varied information sources, and communicating actionable insights from the dataset.

Strong knowledge of environmental regulations and standards (e.g., RoHS, REACH, WEEE, Ecodesign, PFAS) and proven experience determining and implementing requirements.

Experience in new product development, including utilizing the company Common Product Development (CPD) Process.

Proficient with conducting complex data analysis and utilizing output to drive decision making. Experience utilizing Microsoft Excel for data analysis and proficiency in MS Power BI, SQL, Python, Data Visualization, and Reporting preferred.

Previous experience with ERP systems such as SAP in an operational setting.