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Freelance Python Data Analysis Jobs in New York (NOW HIRING)

Data Analyst

Brooklyn, NY · On-site

$65K - $75K/yr

Data Analysis & Reporting: Analyze large, complex datasets using SQL, SAS, or R to identify health ... Strong skills in SQL, data visualization tools, and statistical software (SAS, R, or Python) * Data ...

Data Analyst

Brooklyn, NY · On-site

$65K - $75K/yr

Data Analysis & Reporting: Analyze large, complex datasets using SQL, SAS, or R to identify health ... Strong skills in SQL, data visualization tools, and statistical software (SAS, R, or Python) * Data ...

Data Engineer - AWS, Python, SQL

Jersey City, NJ · On-site

$119.50K - $143.50K/yr

... analytics space. 1-2 years of experience in developing data applications in Cloud (AWS). Extensive experience in Object Oriented Programming (Java, Scala, Python), data movement technologies (ETL/ELT ...

Strong SQL skills with working knowledge of Python * Experience with QA/UAT and data validation ... reporting and business analysis * Strong stakeholder communication and cross-functional ...

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 ...

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 ...

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Freelance Python Data Analysis information

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 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 most commonly searched types of Python Data Analysis jobs in New York? The most popular types of Python Data Analysis jobs in New York are:
What job categories do people searching Freelance Python Data Analysis jobs in New York look for? The top searched job categories for Freelance Python Data Analysis jobs in New York are:
What cities in New York are hiring for Freelance Python Data Analysis jobs? Cities in New York with the most Freelance Python Data Analysis job openings:
Infographic showing various Freelance Python Data Analysis job openings in New York as of May 2026, with employment types broken down into 73% Full Time, 15% Part Time, and 12% Contract. Highlights an 100% In-person job distribution.

Freelance Data Scraping Engineer (Python)

Mindrift

New York, NY • On-site, Remote

$37/hr

Part-time

Posted 15 days ago


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.