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Remote Data Analyst French Jobs in Houston, TX (NOW HIRING)

Data Scientist

Houston, TX ยท On-site +1

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Energy Procurement Analyst Location: Remote (U.S.) About World Fuel At World Fuel, we help ... We're looking for an analytical, detail-oriented professional who enjoys working with data, solving ...

By offering anytime, anywhere access to analytics and insights, we're helping our customers make ... We are currently recruiting for a Data Specialist to join our organization; this is a remote ...

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

An owner running three locations, no marketing hire, no data analyst, opens Menufy on her phone between the lunch and dinner rush. She sees which of last month's promotions actually brought lapsed ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Showing results 21-40

Remote Data Analyst French information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

How much do remote data analyst french jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data analyst french in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, depending on experience, location, and employer.

What is a remote data analyst French?

A Remote Data Analyst French is a professional who analyzes data and extracts insights while working from a remote location, with a focus on projects or organizations that require fluency in French. Their responsibilities typically involve collecting, cleaning, and interpreting data, preparing reports, and offering actionable recommendations. They may work for international companies, research organizations, or any business that operates in French-speaking markets. Strong analytical skills, proficiency in data analysis tools, and fluency in both French and English are essential for this role.

What are the key skills and qualifications needed to thrive as a remote data analyst French?

To thrive as a Remote Data Analyst (French), you need strong analytical abilities, proficiency in data interpretation, and fluency in both French and English, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with data analytics tools like SQL, Excel, Python, and business intelligence platforms such as Tableau or Power BI is important, and certifications in data analysis or analytics can be beneficial. Excellent communication, attention to detail, and the ability to work independently and cross-culturally are standout soft skills for this remote, bilingual position. These competencies ensure accurate data-driven insights, clear reporting for French-speaking stakeholders, and effective collaboration in a distributed work environment.

How does a remote data analyst French typically collaborate with international teams while working from home?

A Remote Data Analyst French often works with colleagues from various countries, leveraging digital communication tools like Slack, Microsoft Teams, and Zoom for effective collaboration. Regular virtual meetings and shared project management platforms help align on goals, share insights, and discuss findings. Since the role often involves analyzing data from French-speaking markets, clear documentation and bilingual communication are essential for coordinating with both local and global stakeholders. Being proactive in sharing updates and asking questions helps bridge any gaps caused by remote work and time zone differences.

What is the difference between Remote Data Analyst French vs Remote Data Analyst German?

AspectRemote Data Analyst FrenchRemote Data Analyst German
Required credentialsBachelor's in Data Science, Statistics, or related field; proficiency in French and data analysis toolsBachelor's in Data Science, Statistics, or related field; proficiency in German and data analysis tools
Work environmentRemote, often collaborating with French-speaking teams or clientsRemote, often collaborating with German-speaking teams or clients
Employer and industry usageTech companies, finance, consulting firms operating in French marketsTech companies, finance, consulting firms operating in German markets
Common search and comparison intentYesYes

The main difference between a Remote Data Analyst French and a Remote Data Analyst German lies in language proficiency and regional market focus. Both roles require similar technical skills and educational background but serve different linguistic and geographic markets, making language skills essential for effective communication and client interaction.

What job categories do people searching Remote Data Analyst French jobs in Houston, TX look for?

The top searched job categories for Remote Data Analyst French jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Data Analyst French jobs?

Cities near Houston, TX with the most Remote Data Analyst French job openings:

Infographic showing various Remote Data Analyst French job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

Data Scientist

Dlapiper

Houston, TX โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

Summary
Position is responsible for data collection, data exploration and using large data sets to find opportunities for improving business outcomes. Designs data modeling processes to create algorithms and predictive models. Performs custom analysis. Uses modelling to drive business results with data-based insights and tests the effectiveness of different courses of action.

Location

This position can sit in any of our US offices.


Responsibilities

  • Works with internal stakeholders and clients to identify opportunities for leveraging organizational data to drive business solutions.
  • Prioritizes, scopes and manages data science projects for internal stakeholders and clients.
  • Mines and analyzes data to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assesses the effectiveness and accuracy of new data sources and data gathering techniques.
  • Applies the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering. Identifies patterns and looks for opportunities for optimization.
  • Develops custom data models and algorithms to apply to data sets.
  • Uses predictive modeling to increase and optimize client opportunities and business outcomes.
  • Writes computer programs and analyzes large datasets to uncover answers to complex problems.
  • Develops testing frameworks and tests model quality.
  • Coordinates with different functional teams to identify and implement models and monitor outcomes.
  • Develops processes and tools to monitor and analyze modeling performance and data accuracy.
  • Establishes best practices for data analysis and reporting.
  • Other duties as assigned.


Skills and Competencies

  • A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative.
  • Experience must include creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, data mining techniques, etc.
  • Experience with most or all of the following basic data science tools: Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing, predictive modeling, data visualization; and Big data tools: Hadoop, Azure, etc.
  • Experience in a professional services or law firm is preferred. Must be adept in agile methodologies and well-versed in machine learning, artificial intelligence and constructing data science pipelines.
  • Demonstrated presentation skills along with strong business acumen. Ability to communicate actionable insights using data, often for a non-technical audience.


Education

  • Bachelor's degree in computer science, data science, statistics, applied mathematics or related field


Years of Experience

  • 5 years of relevant experience in applying data science techniques to business functions.


Essential Job Expectations

All DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include:

  • Communicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences.
  • Produce high-quality work and respond to correspondence in an efficient, timely, and professional manner.
  • Meet deadlines, manage competing priorities, and commit to meeting high standards.
  • Comply with firm policies and procedures.
  • Maintain confidences as required in a law firm environment.


Physical Demands
Sedentary work: This is primarily sedentary work, requiring occasional exertion of up to 10 pounds of force to lift, carry, push, pull, or move objects. The role involves sitting for extended periods, with occasional walking and standing, and occasional travel, both domestic and international.
Work Environment

The firm's work location requirements may be modified at the firm's discretion. Opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiring and may be modified at the firm's discretion.

Compensation & Benefits

The firm's expected hiring range for this position is $112,879 - $179,481 depending on the candidate's geographic location, experience, skills, educational background, and overall qualifications.

DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement plan, and additional benefits.

Application Process

Interested candidates must apply directly online. Application materials sent via email will not be accepted. Reasonable accommodations may be made upon request to enable individuals with disabilities to perform the essential functions of this position or participate in the selection process. For accommodation requests, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.

Disclaimer

This job description provides a concise overview of the role and is not intended to describe all work elements that may be performed. It should not serve as the sole criteria for personnel decisions. Job duties, requirements, and expectations may be modified at the firm's discretion at any time. This job description does not alter the at-will nature of employment.

We are committed to excellence in how we serve our clients and develop our people.

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DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.