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Freelance Python Data Analyst Jobs (NOW HIRING)

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable ...

TalentOS AI LLC

Python Data Engineer

Houston, TX · On-site

Python Data Engineer Introduction We are looking for a talented and motivated Python Data Engineer ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Procter & Gamble

Data Analyst

Mason, OH · On-site +1

Proficiency in data analysis tools such as Python, R, SQL, and Excel * Knowledge of statistical ... Successful candidates for freelancer opportunities will not be considered employees of The Procter ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

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 ...

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

As of Jul 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 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.

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 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.

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.

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.
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What cities are hiring for Freelance Python Data Analyst jobs? Cities with the most Freelance Python Data Analyst job openings:
What are the most commonly searched types of Python Data Analyst jobs? The most popular types of Python Data Analyst jobs are:
What states have the most Freelance Python Data Analyst jobs? States with the most job openings for Freelance Python Data Analyst jobs include:
What job categories do people searching Freelance Python Data Analyst jobs look for? The top searched job categories for Freelance Python Data Analyst jobs are:
Freelance Python Data Analyst jobs near you
Infographic showing various Freelance Python Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Freelance SQL & Python Data Specialist

Freelance SQL & Python Data Specialist

WiredPeople, Inc.

Tallahassee, FL • On-site, Remote

$16.25 - $21.50/hr

Contractor

Posted 25 days ago

Job description

Job Title: Freelance Data Specialist (SQL & Python)
Location: Hybrid (Tallahassee, FL area) - Must be located within commuting distance for periodic in-person meetings.
Overview:
WiredPeople is seeking a highly skilled freelance Data Specialist with deep expertise in SQL, Python, and relational database architecture. Familiarity with the WellSky platform (or similar healthcare case management systems) will support our efforts to leverage available data to make informed organizational decisions.
This is not just a standard report-writing gig. We need a systems-thinker who can reverse-engineer and map the relationships within the WellSky database, build comprehensive Entity Relationship Diagrams (ERDs), and then leverage that map to build automated, scalable reports (such as linking clients to their respective caregivers) using SQL and Python. Because this is a hybrid role that requires collaboration with various teams, the ideal candidate must be local to the Tallahassee area and capable of attending in-person meetings.
Key Responsibilities
  • Database Discovery & Mapping: Analyze the underlying schema of the WellSky platform. Identify primary/foreign keys and map the complex relationships between clients, caregivers, services, and demographic data.
  • Architecture Documentation: Create clear, comprehensive Entity Relationship Diagrams (ERDs) and a functional Data Dictionary for future internal use.
  • Advanced Report Development: Translate business requirements into complex SQL queries to extract accurate datasets.
  • Technical Translation & Handoff: Develop clear Standard Operating Procedures (SOPs) and runbooks. Conduct in-person and virtual handoff training sessions with staff, ensuring you can clearly and effectively relay technical information and database concepts to team members who are not well-versed in code or tech.

Required Skills & Experience
  • Advanced SQL & Python (Required): 5+ years of experience writing complex SQL queries (CTEs, window functions, complex joins) and building Python data scripts (Pandas, SQLAlchemy, etc.).
  • Healthcare/Case Management Data (Highly Preferred): Prior experience working with EHR, EMR, or case management platforms. Specific experience with the WellSky platform is highly preferred.
  • Cross-Functional Communication: Exceptional ability to translate non-technical business needs (e.g., "We need to see which caregivers are assigned to which clients in this county") into technical database requirements, and conversely, explain complex technical limitations to business leaders simply.
  • Database Architecture: Proven experience reverse-engineering databases, schema mapping, and creating ERDs using tools like Lucidchart, Visio, or DbSchema.
  • Compliance: Understanding of best practices for handling sensitive healthcare data and PII.

WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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