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Remote Freelance Data Analysis Jobs (NOW HIRING)

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$60 - $90/hr

Data Analysis / Analytics Expert Hourly Contract Remote Compensation: $60$90 per hour Overview We are seeking experienced Data Analysts to transform raw data into actionable insights. This role ...

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

As of Jul 9, 2026, the average hourly pay for remote freelance data analysis in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data visualization, statistical analysis, and tools like Excel, SQL, or Python, and often offer flexible schedules. Many companies now hire remote data analysts, making it feasible to work from anywhere with a reliable internet connection.

Can I do freelancing as a data analyst?

Yes, data analysis is a common freelance profession where individuals analyze data sets, create reports, and provide insights for clients. Successful freelancing in this field typically requires skills in tools like Excel, SQL, or Python, and the ability to manage multiple projects independently.

How to become a freelance data analyst?

To become a freelance data analyst, develop strong skills in data analysis tools such as Excel, SQL, and Python or R, and build a portfolio of projects to showcase your expertise. Gaining certifications like the Microsoft Data Analyst Associate or Google Data Analytics Certificate can enhance credibility, and establishing an online presence on platforms like LinkedIn or freelance marketplaces helps attract clients.

How much do data analyst freelancers make?

Data analyst freelancers typically earn between $20 and $100 per hour, depending on experience, skills, and project complexity. Annual earnings can range from $40,000 to over $100,000 for full-time equivalent work, with many freelancers setting their rates based on expertise in tools like Excel, SQL, or Python and their ability to deliver insights remotely.
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Remote Freelance Data Analysis jobs near you
Infographic showing various Remote Freelance Data Analysis job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

Dallas, TX • Remote

$37/hr

Part-time

Re-posted 27 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.

Apply