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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 ...

Perfect Search Media

Freelance Writer

Chicago, IL · On-site +1

$22 - $28/hr

Perfect Search is looking for strong writers to join our freelance writer network! The ideal ... external links, meta data, citing sources, and more * Adhere to directions and deadlines ...

Perfect Search Media

Freelance Writer

Chicago, IL

$22 - $28/hr

Perfect Search is looking for strong writers to join our freelance writer network! The ideal ... external links, meta data, citing sources, and more * Adhere to directions and deadlines ...

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How much do freelance data jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for freelance data 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.

What is the difference between Freelance Data vs Data Analyst?

AspectFreelance DataData Analyst
CredentialsVaries; often self-taught or with online coursesTypically requires a degree in data science, statistics, or related fields
Work EnvironmentRemote, flexible, project-basedUsually in an office or corporate setting, but can be remote
Employer & Industry UsageClients across various industries, independentOrganizations, companies, or departments within industries
Common Search & ComparisonFreelance Data vs Data Analyst

Freelance Data professionals often work independently on diverse projects, with flexible credentials and remote work setups. Data Analysts typically have formal education and work within organizations, focusing on analyzing data to inform business decisions. Both roles involve data handling but differ mainly in employment structure and credentials.

What are the key skills and qualifications needed to thrive as a Freelance Data Analyst, and why are they important?

To thrive as a Freelance Data Analyst, you need strong analytical skills, proficiency with data manipulation, and a background in statistics or a related field, often supported by a degree or relevant work experience. Familiarity with tools like Excel, SQL, Python or R, and data visualization platforms such as Tableau or Power BI is typically required. Excellent communication, time management, and client relationship skills help you stand out when managing multiple projects independently. These abilities are crucial for delivering actionable insights, meeting client expectations, and building a successful freelance business.

How do freelance data professionals typically manage multiple client projects and deadlines?

Freelance data professionals often juggle several projects simultaneously, requiring strong organizational and time management skills. They usually use project management tools and clear communication to set expectations with clients regarding deliverables and timelines. Prioritizing tasks, setting realistic deadlines, and maintaining transparent updates with clients help freelancers avoid overcommitment and ensure high-quality work. Building routines and occasionally collaborating with other freelancers or subcontractors can also help distribute the workload effectively.

What is a Freelance Data Analyst?

A Freelance Data Analyst is an independent professional who works on a contract basis to help organizations collect, process, and interpret data. They analyze data sets to uncover trends, generate insights, and support decision-making without being tied to a single employer. Freelance Data Analysts often work with multiple clients, offering flexibility and a wide range of experience across industries. Their responsibilities can include data cleaning, visualization, reporting, and sometimes creating predictive models. This role is ideal for those who enjoy working independently and have strong analytical and technical skills.
More about Freelance Data jobs
What cities are hiring for Freelance Data jobs? Cities with the most Freelance Data job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
What states have the most Freelance Data jobs? States with the most job openings for Freelance Data jobs include:
Freelance Data jobs near you
Infographic showing various Freelance Data job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Freelance SQL & Python Data Specialist

WiredPeople, Inc.

Tallahassee, FL • On-site, Remote

$16.25 - $21.50/hr

Contractor

Re-posted 15 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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