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Socket.dev

Senior Analyst, Data Enablement

Manhattan, NY · On-site

$73 - $113/hr

Proficiency in SQL and/or Python for data transformation and analysis * Experience working with ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

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How much do data analyst freelancer jobs pay per year?

As of Aug 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.

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 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 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.

Can I do freelancing as a data analyst?

Yes, data analyst freelancers can work independently by offering services such as data cleaning, analysis, and visualization to clients. Successful freelancing typically requires skills in tools like Excel, SQL, or Python, along with a strong portfolio and reliable communication. Many freelancers find work through online platforms and set their own schedules and rates.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a data analyst freelancer involves skills in data visualization, statistical analysis, and tools like Excel or SQL, which complement AI capabilities rather than being fully replaced by them.
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Infographic showing various Data Analyst Freelancer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Analyst, Data Engineer

Publicis Groupe Holdings B.V

Manhattan, NY

$73K - $112K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 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 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.

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.Employment Type: FULL_TIME

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