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Editor, Data & Analytics

Boulder, CO

Experience in line editing and restructuring content, including working with freelance contributors ... Data Analytics Skills: * Proficiency in Microsoft Excel for data modeling and analysis.

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How much do data analyst freelancer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data analyst freelancer in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Can ISFJ be a data analyst?

Yes, ISFJ personality types can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel or SQL. While personality can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights that require human judgment. Data analysts who develop skills in programming, statistical methods, and AI tools can enhance their effectiveness and stay relevant in the evolving field.

Is it possible to be a freelance data analyst?

Yes, a data analyst can work as a freelancer by offering services such as data cleaning, analysis, and visualization to clients. Freelance data analysts typically need strong skills in tools like Excel, SQL, or Python, and may build a portfolio or obtain certifications to attract clients.

Can a data analyst be self-employed?

Yes, a data analyst can be self-employed by working as a freelancer or independent contractor. Many self-employed data analysts offer services such as data visualization, reporting, and analysis to clients on a project basis, often using tools like Excel, SQL, or Python. Successful self-employment typically requires strong skills, a professional portfolio, and the ability to manage client relationships and schedules.

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

To thrive as a Data Analyst Freelancer, you need strong analytical skills, proficiency in statistics, and experience with data visualization, typically supported by a relevant degree or equivalent work experience. Familiarity with tools such as SQL, Excel, Python or R, and business intelligence platforms like Tableau or Power BI is essential. Exceptional communication, time management, and problem-solving abilities set successful freelancers apart in client-focused environments. These skills and qualities are crucial for delivering actionable insights, meeting client expectations, and managing multiple projects independently.

What does a Data Analyst Freelancer do?

A Data Analyst Freelancer is a professional who works independently to help organizations collect, process, and interpret data to support decision-making. They typically analyze datasets, create reports, visualize data trends, and provide actionable insights to clients on a project or contract basis. Freelance data analysts might work with various industries, using tools like Excel, SQL, Python, or data visualization platforms. Their role can also include cleaning data, identifying patterns, and presenting findings in an understandable manner. They often communicate results and recommendations directly to clients or stakeholders.

What are some typical challenges Data Analyst Freelancers face when working with multiple clients simultaneously?

Data Analyst Freelancers often manage projects for several clients at once, which can make balancing workloads and meeting conflicting deadlines challenging. Each client may use different data tools, formats, and communication styles, requiring adaptability and strong organizational skills. Additionally, freelancers must ensure data privacy and manage client expectations effectively. Setting clear deliverables and maintaining open communication can help overcome these challenges and foster successful client relationships.
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What job categories do people searching Data Analyst Freelancer jobs look for? The top searched job categories for Data Analyst Freelancer jobs are:
Infographic showing various Data Analyst Freelancer job openings in the United States as of June 2026, with employment types broken down into 86% Part Time, and 14% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Analyst, Data Operations

Publicis Groupe Holdings B.V

Manhattan, NY

$73K - $112K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Company Description

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.

Responsibilities
  • Analyzing data and consulting with subject matter experts to design and develop business rules for data processing
  • Setting up and/or maintaining dataflows in data wrangling tools like Alteryx or Google Dataprep
  • Creating and/or maintaining SQL scripts
  • Where applicable, working with data engineers to assure specifications are understood and followed
  • Being responsible for ensuring that campaign performance data is easily accessible and reliable
  • Monitoring, troubleshooting, and remediating data quality across marketing data systems ensuring full understanding of client deliverables
  • Designing and executing data quality checks
  • Keeping up to date on digital media operations - new partners, buy changes, etc.
  • Governing taxonomy additions, application, and use
  • Serving as a knowledge expert for media and site data processes and identifying areas of improvement to ensure appropriate turnaround times and data quality standards are being met
  • Evaluating opportunities for simplification and/or automation for reporting and various processes
  • Influencing teams towards data-informed decision-making and analytical thinking
  • Promoting a culture of process documentation
  • Providing guidance on process improvements and best practices for data management
  • Working closely with other Data and Analysis teams, providing recommendations and direction on visualization of our data
  • Empowering your team to live the Digitas values to be open, bold, and curious
Qualifications
  • 3-4 years of applicable experience
  • A four-year college degree; advanced degree is a plus
  • Strong attention to detail
  • Excellent oral and written communication skills
  • Passion for problem solving
  • Passion for data automation and finding efficiencies in current processes
  • Passion for digital marketing, eagerness to learn in a constantly changing space, and a natural curiosity
  • Proficient with SQL and data visualization tools (i.e. Tableau, PowerBI, Google Data Studio)
  • Knowledge and experience with Python and/or R, as well as DBT
  • Experience with tools like Alteryx a plus
  • Experience working with Google Cloud and AWS a plus
  • Comfortable in a fast-paced and deadline-driven environment
  • Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALLE, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.

Got the sparkle? Apply if you believe your unique skills are a fit.

Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

 Compensation Range: USD $73,150.00 - USD $112,554.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/15/2027.Employment Type: FULL_TIME

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