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Freelance Python Data Analyst Jobs in Hortonville, WI

Vertex Elite LLC

AWS Architect: Neenah, WI

Neenah, WI · On-site

$65.50 - $85.75/hr

S3, EC2, Lambda, ECS, EKS Data Processing: Glue, EMR, Kinesis, Step Functions Analytics: Redshift, Athena, QuickSight Security & Governance: IAM, KMS, Lake Formation Proficiency in SQL, Python, and ...

Fleet Farm

Ecommerce Integration Developer

Appleton, WI · On-site

$48.25 - $64/hr

Perform data validation, troubleshooting, and performance analysis to ensure data integrity across ... Experience with scripting or programming languages such as Python, Java, Ruby, Perl, or Shell ...

Lund Boats

Principal Calibration Engineer

Oshkosh, WI · On-site

$103K - $144K/yr

Experience with MATLAB or Python for data analysis * Experience with engine control or vehicle control software and development * Experience with DAQ setup, programming, and troubleshooting Preferred ...

Brunswick

Principal Calibration Engineer

Oshkosh, WI

$103K - $144K/yr

Experience with MATLAB or Python for data analysis * Experience with engine control or vehicle control software and development * Experience with DAQ setup, programming, and troubleshooting Preferred ...

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All JobsPython Data Analyst JobsFreelance Python Data Analyst JobsFreelance Python Data Analyst Jobs in Hortonville, WI

Freelance Python Data Analyst information

See Hortonville, WI salary details

$12

$30

$57

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

As of Aug 20, 2026, the average hourly pay for freelance python data analyst in Hortonville, WI is $30.56, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $34.13 per hour, depending on experience, location, and employer.

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.

What skills and qualifications are 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 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.

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 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 cities near Hortonville, WI are hiring for Freelance Python Data Analyst jobs?

Cities near Hortonville, WI with the most Freelance Python Data Analyst job openings:

Freelance Python Data Analyst jobs near you
Infographic showing various Freelance Python Data Analyst job openings in Hortonville, WI as of August 2026, with employment types broken down into 100% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $63,568 per year, or $30.6 per hour.

AWS Architect: Neenah, WI

Vertex Elite LLC

Neenah, WI • On-site

$65.50 - $85.75/hr

Contractor

Re-posted 11 days ago

Job description

We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms that enable scalable analytics and business intelligence. The ideal candidate will have deep expertise in AWS cloud services, data modeling, data lakes, ETL pipelines, and big data ecosystems.

 Key Responsibilities

Design and implement end-to-end data architectures on AWS (data lakes, data warehouses, and streaming solutions).

Define data ingestion, transformation, and storage strategies using AWS native services (Glue, Lambda, EMR, S3, Redshift, Athena, etc.).

Architect ETL/ELT pipelines and ensure efficient, secure, and reliable data flow.

Collaborate with data engineers, analysts, and business stakeholders to translate business needs into scalable data solutions.

Establish data governance, security, and compliance frameworks following AWS best practices (IAM, KMS, Lake Formation).

Optimize data systems for performance, cost, and scalability.

Lead data migration projects from on-prem or other clouds to AWS.

Provide technical guidance and mentorship to data engineering teams.

Required Skills & Qualifications

Bachelor’s or master’s degree in computer science, Information Systems, or a related field.

10+ years of experience in data architecture, data engineering, or cloud architecture.

Strong hands-on experience with AWS services:

Storage & Compute: S3, EC2, Lambda, ECS, EKS

Data Processing: Glue, EMR, Kinesis, Step Functions

Analytics: Redshift, Athena, QuickSight

Security & Governance: IAM, KMS, Lake Formation

Proficiency in SQL, Python, and ETL frameworks.

Experience with data modeling (3NF, Dimensional Modeling, Data Vault).

Familiarity with data governance and metadata management tools.

Excellent communication and stakeholder management skills.