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Freelance Python Data Analysis Jobs in Newark, NJ

Diverse Lynx

Pyspark/Python Data Engineer

Edison, NJ · On-site

$116K - $139K/yr

PySpark /Python Data Engineer Must Have Technical/Functional Skills We are looking for a skilled ... Good working knowledge of SQL for data transformation and analysis * Experience with data ...

Purple Drive

Python Data Engineer

Manhattan, NY · On-site

Strong Experience with 12+ years working on Python in AWS. * Solid experience with Python ... Strong Analytical Skills. * Able to perform SQL Queries against a relational database. Experience ...

New

Purple Drive

Technical Data Analyst

Warren, NJ · On-site

Use Python for data analysis, automation, and data transformation * Write and optimize MySQL queries for data extraction, analysis, and validation * Work with structured datasets from enterprise ...

Capgemini

GCP Python Data Engineer

Edison, NJ · On-site

$116K - $139K/yr

... analytics, reporting, and machine learning workloads Optimize performance and cost of data ... Python Automate workflows and orchestration using Cloud Composer (Airflow) Implement CI/CD ...

New

Capital One

Manager, Data Analysis

New York, NY · On-site

Manager, Data Analysis At Capital One, data is at the center of everything we do. When we launched ... At least 4 years of experience with Python, R, Spark or SQL * At least 1 year of experience in ...

Capital One

Manager, Data Analysis

New York, NY · On-site

Manager, Data Analysis At Capital One, data is at the center of everything we do. When we launched ... At least 4 years of experience with Python, R, Spark or SQL * At least 1 year of experience in ...

Wall Street Prep

Python Instructor

New York, NY

$55 - $75.75/hr

Arrays and indexing Data Analysis with Python * NumPy fundamentals * Pandas Series and DataFrames * Reading and importing data * Data cleaning and preparation * Sorting and filtering datasets

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

As of Jul 3, 2026, the average hourly pay for freelance python data analysis in Newark, NJ is $61.30, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $69.62 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, 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 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.
What are the most commonly searched types of Python Data Analysis jobs in Newark, NJ? The most popular types of Python Data Analysis jobs in Newark, NJ are:
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What cities near Newark, NJ are hiring for Freelance Python Data Analysis jobs? Cities near Newark, NJ 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 Newark, NJ as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $127,508 per year, or $61.3 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

New York, NY • On-site, Remote

$37/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
About the Role
This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
Key Responsibilities
  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Compensation
On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
How to get started
Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.
Requirements
  • At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).
  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
  • Strong attention to detail and commitment to data accuracy.
  • Self-directed work ethic with ability to troubleshoot independently.
  • A link to GitHub is a plus.
  • English proficiency: Upper-intermediate (B2) or above (required).

Benefits
Why this freelance opportunity might be a great fit for you?
  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly - a distinctive skill set in a rapidly growing field.
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Apply