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French Data Analyst Jobs (NOW HIRING)

French & Parrello

GIS Analyst

Wall, NJ · On-site

$52K - $62K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

French & Parrello Associates (FPA) is seeking a GIS Analyst for our Geographic Information Systems ... Manage and organize GIS data to ensure accuracy, currency, and consistency across projects.

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French Data Analyst information

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$34K

$82.6K

$136K

How much do french data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for french data analyst 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 is a French data analyst?

A French Data Analyst is responsible for collecting, interpreting, and analyzing data while working with French-language datasets or markets. They help businesses make data-driven decisions by identifying trends, patterns, and insights. This role often requires proficiency in French, data analysis tools, and statistical methods. A French Data Analyst may work in various industries, including finance, marketing, and e-commerce. Strong communication skills are essential to present findings clearly to stakeholders.

What are the typical responsibilities and collaborative aspects of a French data analyst role?

As a French Data Analyst, your typical responsibilities include gathering and interpreting data from French-speaking markets, preparing reports, and delivering insights to support business objectives. You'll regularly collaborate with international teams, including marketing, sales, and product development, to provide localized analysis and ensure strategies are data-driven. The role often involves balancing independent data work with meetings and presentations to share findings with both technical and non-technical colleagues. This collaborative environment helps foster growth in communication skills and offers exposure to diverse business functions, making the position an excellent stepping stone for further career advancement.

What are the key skills and qualifications needed to thrive in the French data analyst position, and why are they important?

To thrive as a French Data Analyst, you need strong analytical skills, fluency in both French and English, and a solid background in statistics or data science, typically backed by a relevant degree. Familiarity with data analysis tools such as Excel, SQL, Python, R, and business intelligence platforms like Tableau or Power BI is essential. Excellent problem-solving abilities, attention to detail, and strong communication skills help analysts collaborate with cross-functional teams and present findings clearly. These competencies ensure accurate, actionable insights are delivered to both French- and English-speaking stakeholders, supporting effective decision-making in a global business environment.

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French Data Analyst jobs near you
Infographic showing various French Data Analyst 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.

Project Perseus \u007C Speech & Voice AI Analyst - French Speakers

Welo Data

Seattle, WA • On-site

$26 - $28/hr

Full-time

Re-posted 22 days ago

Job description

Overview

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) 
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What You’ll Do
  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions 
What We’re Looking For
  • Native-level fluency in French 
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus 
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
 Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.