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Flexible Freelance Data & Analytics Jobs (NOW HIRING)

Data Analytics- II

Bridgewater, NJ ยท On-site

$50 - $52/hr

Our client is currently seeking a Data Analytics Analyst/Engineer- II Working Model ... Hybrid - 3 days in office per week but this can be slightly flexible Targeted Years of Experience ...

What Data Analytics contributes to Cardinal Health: The Data & Analytics Function oversees the ... Flexible spending accounts (FSAs) * Short- and long-term disability coverage * Work-Life resources

Data Analyst

Mason, OH ยท On-site +1

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform ... Successful candidates for freelancer opportunities will not be considered employees of The Procter ...

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Flexible Freelance Data Analytics information

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$14

$47

$132

How much do flexible freelance data & analytics jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for flexible freelance data & analytics 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 Flexible Freelance Data & Analytics vs Data Analyst?

AspectFlexible Freelance Data & AnalyticsData Analyst
CredentialsVaries; often self-taught or with certifications like Google Data AnalyticsBachelor's degree in data-related fields, sometimes certifications
Work EnvironmentRemote, project-based, flexible hoursTypically in-office or remote, regular hours
Employer & Industry UsageFreelance clients across industries, startups, consulting firmsCorporations, organizations, and agencies

Flexible Freelance Data & Analytics professionals work independently on diverse projects, offering flexible schedules and varied clients. Data Analysts often work within organizations, focusing on ongoing data reporting and analysis. The freelance role provides greater flexibility and variety, while the traditional Data Analyst role offers stability and team collaboration.

More about Flexible Freelance Data Analytics jobs
What are the most commonly searched types of Freelance Data & Analytics jobs? The most popular types of Freelance Data & Analytics jobs are:
Infographic showing various Flexible Freelance Data & Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
Freelance SQL & Python Data Specialist

Freelance SQL & Python Data Specialist

WiredPeople, Inc.

Tallahassee, FL โ€ข On-site, Remote

$16.25 - $21.50/hr

Contractor

Posted 7 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.