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Data Wrangler Freelance Jobs (NOW HIRING)

Socket.dev

Senior Analyst, Data Science

Manhattan, NY · On-site

$73 - $113/hr

... data wrangling, exploratory analysis, and workflow automation. This role partners closely with ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

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HUSH

Design Director

New York, NY

You support them with a strategic mind that can wrangle complex challenges. You've got a track ... Contribute to and optimize the work of staff and freelance designers of various levels

HUSH

Design Director

Brooklyn, NY · On-site

You support them with a strategic mind that can wrangle complex challenges. You've got a track ... Contribute to and optimize the work of staff and freelance designers of various levels

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Data Wrangler Freelance information

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How much do data wrangler freelance jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data wrangler freelance 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 a data wrangler freelance?

Data Wrangler Freelancers are professionals who specialize in cleaning, organizing, and preparing raw data for analysis or further processing. They work independently or on a contract basis, helping organizations transform messy or unstructured data into usable formats. Their tasks often include data cleaning, validation, formatting, and sometimes basic analysis. By ensuring data quality and consistency, they enable data scientists and analysts to make accurate insights or build reliable models.

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

To excel as a Data Wrangler Freelance, you need strong data manipulation skills, a background in statistics or computer science, and proficiency in data cleaning and formatting. Familiarity with tools such as Python, R, SQL, Excel, and data visualization software is typically expected. Attention to detail, problem-solving abilities, and effective communication with clients are valuable soft skills in this role. These skills ensure accurate, reliable data preparation, enabling clients to make informed business decisions based on clean and well-structured data.

What are common challenges faced by freelance data wranglers, and how can they effectively manage client expectations?

Freelance data wranglers often encounter challenges such as receiving inconsistent or incomplete data from clients, tight project deadlines, and varying data formats. Effectively managing client expectations involves clear communication about project scope, data quality requirements, and realistic timelines. Establishing a structured workflow, using reliable data-cleaning tools, and setting regular check-ins with clients can help ensure smooth collaboration and successful project outcomes.

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

AspectData Wrangler FreelanceData Analyst
CredentialsBasic data handling skills, often self-taught or with short coursesBachelor's degree in data science, statistics, or related field
Work EnvironmentIndependent, remote, project-basedIn-house or remote, often part of a team
Industry UsageFreelance projects across various industriesCorporate, finance, healthcare, and more
Search & Comparison IntentFocus on flexible, short-term data handling tasksFocus on data analysis, reporting, and insights

While Data Wrangler Freelance specializes in cleaning and preparing data on a project basis, Data Analysts focus on interpreting data to generate insights. Both roles require data skills, but Data Analysts typically have more advanced education and work within organizations, whereas Data Wranglers often operate independently on specific tasks.

How much do data wranglers make?

Data wranglers, also known as data engineers or data specialists, typically earn between $50,000 and $120,000 annually depending on experience, location, and project complexity. Freelance data wranglers may charge hourly rates ranging from $25 to $150, with rates influenced by skills in data cleaning, scripting, and database management tools.
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Data Wrangler Freelance jobs near you
Infographic showing various Data Wrangler Freelance job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Senior Analyst, Data Engineer

Publicis Groupe Holdings B.V

Manhattan, NY • On-site

$73K - $112K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Company description
Zenith is one of Publicis Groupe's largest media agencies, spanning 95 markets globally with US offices in New York, Burbank, Chicago, Atlanta and Detroit. For more than 30 years, we have been at the forefront of media, helping to evolve and reshape the industry. We are highly regarded as a true agency partner by many high-profile brands for our expertise across numerous categories and wide range of capabilities that are unparalleled in the industry. Clients hire us for our track record of excellence in strategic planning, investment, and measurement. We also have specialist offerings, including content, commerce, multicultural and future-proofed data capabilities.
Overview
The Senior Analyst is responsible for transforming complex media and audience data into actionable insights through a combination of data wrangling, exploratory analysis, and workflow automation. This role partners closely with Analytics, Strategy, Activation, and Data Science teams to solve business problems, develop scalable analytical solutions, and improve the efficiency of recurring processes. The ideal candidate combines strong technical skills in SQL and Python with deep familiarity with digital media datasets and taxonomies.
Responsibilities
  • Develop complex SQL and Python-based solutions to prepare, transform, and analyze large media and audience datasets.
  • Perform ad hoc analyses to answer business, client, and campaign performance questions.
  • Build and maintain reusable datasets that support reporting, analytics, and strategic decision-making.
  • Design and automate recurring analytical processes and workflows to improve efficiency and scalability.
  • Work extensively with media taxonomies and reporting dimensions including channel, publisher, DSP, creative size, placement, audience, and daypart.
  • Identify data quality issues and implement processes to improve consistency and reliability across datasets.
  • Collaborate with stakeholders to translate ambiguous business questions into analytical approaches and recommendations.
  • Present findings and insights to both technical and non-technical audiences.
  • Document analytical methodologies, data definitions, and workflow processes to support long-term team scalability

Qualifications
  • 2+ years of experience in Analytics, Data Engineering, Marketing Analytics, Media Analytics, or a related field.
  • Advanced proficiency in SQL and Python.
  • Strong experience manipulating, transforming, and analyzing large datasets.
  • Experience building automated workflows, reusable analytical tools, and scalable data processes.
  • Required experience working with digital media data and media taxonomies.
  • Experience with PySpark and cloud-based data environments (Databricks, Snowflake, etc) preferred.
  • Strong problem-solving skills and ability to work independently in ambiguous environments.
  • Excellent communication and presentation skills.

Additional information
Our Publicis Groupe motto "Viva La Différence" 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.
Veterans Encouraged to Apply.
#LI-SC5
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 9/28/2026.

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