1

Freelance Python Data Analysis Jobs (NOW HIRING)

Strong Python programming skills for data analysis, automation, and data engineering tasks. * Experience with Azure SQL Database administration, performance tuning, and troubleshooting. * Azure Data ...

next page

Showing results 1-20

Freelance Python Data Analysis information

See salary details

$13

$58

$86

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

As of Aug 20, 2026, the average hourly pay for freelance python data analysis in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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 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.
More about Freelance Python Data Analysis jobs

What cities are hiring for Freelance Python Data Analysis jobs?

Cities with the most Freelance Python Data Analysis job openings:

What are the most commonly searched types of Python Data Analysis jobs?

The most popular types of Python Data Analysis jobs are:

What states have the most Freelance Python Data Analysis jobs?

States with the most job openings for Freelance Python Data Analysis jobs include:

Infographic showing various Freelance Python Data Analysis job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

SQL / Python Data Analyst

Apolis

Redmond, WA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Position: SQL / Python Data Analyst
Location: Redmond WA (Hybrid)
Duration: 6+ months contract (possible extension)
W2, & without sponsorship now and in future.
Primary Responsibilities
  • Develop, maintain, and enhance staffing and workforce planning models.
  • Build and optimize data pipelines using Azure Data Factory (ADF) and related Azure services.
  • Develop analytical solutions and automation using SQL and Python.
  • Manage and support Azure SQL environments, including database administration, monitoring, and performance tuning.
  • Support data integrations, ETL processes, and reporting solutions.
  • Work with tabular data models, including SSAS cubes.
  • Ensure data quality, reliability, and scalability across planning and reporting platforms.
  • Partner with business stakeholders to translate workforce planning requirements into analytical solutions.
Required Skills
  • Advanced SQL development and database design expertise.
  • Strong Python programming skills for data analysis, automation, and data engineering tasks.
  • Experience with Azure SQL Database administration, performance tuning, and troubleshooting.
  • Azure Data Factory (ADF) pipeline development and maintenance experience.
  • Experience building and maintaining analytical and forecasting models.
  • Familiarity with SQL Server Analysis Services (SSAS) cubes and dimensional modeling.
  • Understanding of Azure data platform services and cloud-based data architectures.
  • Strong analytical, troubleshooting, and communication skills.