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Freelance Python Data Analyst Jobs (NOW HIRING)

Vitol

Python Data Engineer

Houston, TX · On-site

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Syntricate Technologies

Python Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Required : • 5+ years applied experience • bachelor's degree required • Python Programming • Strong skills around object-oriented analysis and design (OOAD) • data structures • algorithms ...

Jobtailor

NY · On-site

Use Python to automate reporting, data validation, file processing, and repetitive tasks * Build and maintain reports and dashboards using Power BI and other reporting tools * Assist with analyzing ...

Far Coder

The role typically involves technologies such as SQL, Python, Data Visualization, Excel, Medical ... This role combines advanced analytics, Tableau reporting, and emerging AI‑driven solutions to ...

Cognizant

Senior Python Data Engineer

Atlanta, MI · On-site

$100K - $114K/yr

About the Role As a Senior Python Data Engineer , you will make an impact by designing, building ... Experience with the Databricks platform and cloud-based analytics solutions. * Knowledge of large ...

New

United Airlines

GCP Python Data Engineer

Manhattan, NY

$115K - $145K/yr

Data Storage & Analytics * Design and optimize data lake, lakehouse, and data warehouse solutions ... Develop robust Python-based solutions and frameworks. * Automate orchestration and workflow ...

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

As of Sep 14, 2026, the average hourly pay for freelance python data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 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.

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Freelance Python Data Analyst jobs near you
Infographic showing various Freelance Python Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Python Data Engineer

Columbus, OH • On-site

Syntricate Technologies
IT Services • 51 - 200 employees
Learn more about Syntricate Technologiesexternal

Full-time

Posted 15 days ago

Job description

Python Data Engineer W2 Only

Skills Required: (Python, Spark, Pyspark, AWS, SQL), Location - Columbus, OH and Jersey City, NJ (USC, GC)

Python/Spark/PySpark/AWS - Columbus, OH & Jersey City, NJ for this role

6- Mid Level Engineer- rate range

2- Senior Level Lead Developer

Note- 3-5 years will also work for 602 if they have good clientele. Need- (Python, Pyspark, Databricks and AWS 4 skills required primarily)

  • 1 lead in each location (OH & NJ), then 3 Pyspark devs in each location (OH, NJ) (Lead 7-10 years, devs 3-5+ years enterprise experience)
  • The leads must be strong in both Java & Pyspark (Python + Spark) – 70% Pyspark – 30% Java
  • Other 3 resources need to be strong in Python/Spark/Pyspark
  • Should be strong in SQL
  • Will be creating a pipeline and writing in Pyspark – Migrating from legacy platform to new platform
  • This is an AWS Migration project – MUST BE STRONG IN AWS. Databricks is a plus, if it's on the resume they MUST be able to speak to it
  • Should have Datalake Experience

Skills:

  • 5+ years applied experience; bachelor's degree required Python Programming.
  • Strong skills around object-oriented analysis and design (OOAD), data structures, algorithms, design patterns. Hands-on practical experience in system design, application development, testing, and operational stability.
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Proficient in coding in Python, PySpark, Java 17/21, Spring Boot, and SQL Databases
  • Prior hands-on experience in Cloud technologies - AWS, AZURE etc.

Apply