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Freelance Data Jobs in Washington (NOW HIRING)

Conduct research design and data method identification * Create accessible visualizations and web ... Flexible schedule | Freelance opportunities | Part-time hours | Project based work * Part-time ...

The Freelance Assignment Editor works with a team of people to help coordinate daily news coverage ... Ability to identify where to get the latest financial data & editorial information * Knowledge of ...

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Freelance Data information

See Washington salary details

$16

$54

$149

How much do freelance data jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for freelance data in Washington is $54.03, according to ZipRecruiter salary data. Most workers in this role earn between $27.50 and $69.95 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a freelance data analyst?

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 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 most commonly searched types of Data jobs in Washington?

The most popular types of Data jobs in Washington are:

What cities in Washington are hiring for Freelance Data jobs?

Cities in Washington with the most Freelance Data job openings:

Infographic showing various Freelance Data job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $112,388 per year, or $54 per hour.

Featured Feat. Data Scientist

Washington, DC โ€ข On-site

$80 - $157/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago


Job description

Georgetown University: Main Campus: Walsh School of Foreign Service - 500 First St NW 7th Floor

USD 80K-157K Mid-level

Responsibilities
  • Communicate findings to policy audiences
  • Conduct research design and data method identification
  • Create accessible visualizations and web interfaces
  • Design evaluate and implement modeling solutions
  • Develop AI-enabled solutions
  • Document and communicate methods and data resources
  • Implement extraction classification clustering annotation entity resolution
  • Improve dataset quality and utility
  • Ingest structured and unstructured datasets
  • Interpret results and draw inferences
  • Monitor AI machine learning biotechnology and national security policy trends
Skills
  • A/B | A/B Testing | B testing | Causal Inference | Data Mining
  • AWS Batch | Agile | Amazon Athena | Amazon Redshift | Apache Airflow
  • Data Mining | Deep learning | Error correction | Error modeling | Language Processing
  • Algorithms | Clustering | Component analysis | Data Structures | Deep learning
  • Adobe Analytics | Agentic AI | Anthropic Claude | Benchmarking | Classification
  • Data Science | Fine Tuning | Hybrid search | Information Retrieval | Knowledge graphs
  • Dash | Data Mining | Data Modeling | Data Quality | Data Visualization
  • Electromagnetism | Mechanics | NumPy | Numerical Simulation | Pandas
  • Computational physics | NumPy | Numerical Simulation | Pandas | Physics modeling
  • Electromagnetism | Mechanics | NumPy | Numerical Methods | Numerical Simulation
  • C# | Computational physics | MATLAB | NumPy | Numerical Simulation
  • Computer Vision | Convolutional Neural Networks | Data Pipelines | Deep learning | Gradient boosting
Benefits & Perks
  • 401k retirement plan | Career growth opportunities | Dental insurance | Employee Rental Discounts | Floating paid holidays
  • 401k match | Company holidays | Dental insurance | Employee assistance program | Health and wellness program
  • 401k | 401k match | AD and D insurance | Commuter benefits | Dental insurance | Employee assistance program
  • 401k retirement plan | Equity package | Growth opportunities | Hybrid work schedule | Medical, dental, and vision coverage
  • Flexible work hours | Learning culture | Mentoring | Sponsorship | Work-life balance
  • 401k | Disability insurance | Employee stock purchase plan | Health insurance | Life insurance
  • Catered lunches | Summer party | Team collaboration
Employment Options
  • Senior-level Full Time
  • Flexible schedule | Freelance projects | Part-time work | Project based work
  • Flexible schedule | Freelance opportunities | Part-time hours | Project based work
  • Part-time freelance | Project based work
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