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Freelance Data Cleaning Jobs (NOW HIRING)

HR Data Analyst

Coppell, TX ยท On-site

$25 - $30/hr

  • Medical

  • Dental

  • Retirement

Combine, clean, standardize, and validate data from multiple sources using Excel, SQL, Python, or ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

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Freelance Data Cleaning information

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$14

$47

$132

How much do freelance data cleaning jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for freelance data cleaning 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 are the key skills and qualifications needed to thrive as a freelance data cleaning specialist?

To thrive as a Freelance Data Cleaning specialist, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, commonly supported by experience with spreadsheets or a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, Python (especially pandas), and data visualization software is typically required. Strong communication, time management, and problem-solving skills help you collaborate with clients and deliver high-quality results efficiently. These skills ensure that data is accurate, reliable, and actionable, which is essential for informed business decision-making.

What is the difference between Freelance Data Cleaning vs Data Analyst?

AspectFreelance Data CleaningData Analyst
CredentialsBasic Excel, data cleaning tools, sometimes certificationsDegree in data science, statistics, or related field; often certifications
Work EnvironmentRemote, project-based, flexible hoursOffice or remote, regular hours, team collaboration
Employer & IndustryClients across various industries, freelance platformsCompanies, organizations, corporate settings
Search & Comparison IntentFocus on cleaning and preparing dataAnalyzing data to generate insights

Freelance Data Cleaning involves independently preparing and cleaning data for clients, often on a project basis. Data Analysts typically perform broader data analysis, interpretation, and reporting within organizations. While both roles require data handling skills, Freelance Data Cleaning is more specialized in data preparation tasks, whereas Data Analysts focus on deriving insights from data sets.

What is freelance data cleaning?

Freelance data cleaning involves working independently to organize, correct, and prepare data for analysis or use by businesses and organizations. Freelancers in this field identify and rectify errors, remove duplicates, fill in missing values, and format data sets to ensure accuracy and usability. This work can be project-based or ongoing, and often requires proficiency with tools like Excel, Python, or specialized data cleaning software. Clients may hire freelance data cleaners to improve decision-making, streamline processes, or prepare data for reporting and analytics.

What are some common challenges freelance data cleaning professionals face when working with new clients' datasets?

Freelance data cleaning professionals often encounter challenges such as incomplete or inconsistent data formats, lack of clear documentation, and varying data quality standards across clients. Adapting quickly to different data management systems and understanding clients' specific data requirements are crucial for success in this role. Open communication with clients to clarify expectations and thorough initial data assessments can help mitigate many of these challenges and ensure a smoother workflow.
More about Freelance Data Cleaning jobs

What cities are hiring for Freelance Data Cleaning jobs?

Cities with the most Freelance Data Cleaning job openings:

What are the most commonly searched types of Data Cleaning jobs?

The most popular types of Data Cleaning jobs are:

What states have the most Freelance Data Cleaning jobs?

States with the most job openings for Freelance Data Cleaning jobs include:

Infographic showing various Freelance Data Cleaning job openings in the United States as of August 2026, with employment types broken down into 38% Full Time, 47% Part Time, and 15% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Business Intelligence (Advanced Analytics Developer)

Solomon Page

Draper, UT โ€ข On-site

$55/hr

Contractor

Medical, Dental, Retirement

Posted 7 days ago


Job description

We're seeking an Analyst, AI & Analytics for our Executive and Equity Compensation function - a curious, hands-on analytics builder with strong quantitative problem-solving skills who can transform how we produce reporting, develop insights, and support high-stakes decisions. This role sits at the intersection of data analytics, business analysis, applied AI, automation, and compensation, partnering directly with the Director of Executive and Equity Compensation to turn ambiguous business needs into reliable, scalable analytics products using AI. Deep compensation expertise isn't required - we're prioritizing problem-solving, technical fluency, learning agility, and a proven track record of bringing practical solutions to reality in the age of AI.
  • Pay Range :$50/hr on w2 to $55/hr on w2
Responsibilities:
  • Apply a product-centric approach to streamline, re-engineer, and automate recurring monthly, quarterly, and annual reporting, reconciliations, analyses, and decision workflows
  • Evaluate compensation frameworks using quantitative and qualitative data to pinpoint problems and recommend data-backed automated AI solutions
  • Design, build, and maintain scalable data models, dynamic dashboards, and reporting solutions for use cases such as benchmarking, scenario analysis, grant and equity reporting
  • Apply company-approved AI tools and automation to data preparation, classification, reconciliation, anomaly detection, analysis, narrative generation, and ad hoc question answering, with appropriate human review and controls
  • Develop AI-enabled workflows, assistants, or agents grounded in approved data and documentation that produce reliable, explainable, and useful outputs
  • Translate ambiguous business questions into clear problem statements, requirements, prototypes, and measurable outcomes
  • Establish data definitions, quality checks, validation controls, documentation, and monitoring to improve trust, auditability, and repeatability
  • Create executive-ready visualizations and narratives that turn complex data from Workday, Vizier, and stock administration systems into clear insights, options, and recommendations
  • Partner across People Analytics, HR Technology, Stock Administration, Payroll, Data and Engineering, Privacy, Security, and Responsible AI
  • Evaluate tools and build-versus-buy options, create reusable operating practices, and handle highly sensitive information with exceptional discretion and accuracy
Required Qualifications:
  • 3-5 years of relevant experience in data analytics, business analytics, business systems, data science, finance, consulting, HR analytics, compensation, or a related field
  • Bachelor's degree in a quantitative, technology, analytics, business systems, or related field - or equivalent practical experience
  • Practical experience leveraging modern analytics and AI-enabled tools (e.g., ChatGPT Advanced Data Analysis, Claude Code) to accelerate data cleaning, script writing, and reporting; automate workflows; familiarity with prompt design, structured outputs, orchestration, or evaluation is valuable
  • Proven track record of breaking down complex or ambiguous problems and carrying solutions from concept through launch, adoption, and improvement
  • Strong proficiency in advanced Excel or Google Sheets strongly preferred; proficiency in SQL, Python, R, or another scripting/automation language is a plus but not required
  • Experience building data models, working with large and complex datasets, implementing validation and reconciliation controls, and creating dashboards in Power BI or a comparable platform
Preferred:
  • Experience in executive compensation, equity compensation, total rewards, people analytics, finance analytics, stock administration, or another adjacent domain
  • Business Systems Analyst experience with Workday or another HRIS, equity administration platforms
If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
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