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Remote Data Analyst French Jobs in Raleigh, NC (NOW HIRING)

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Data Analysis and Modeling : Oversee advanced data analysis, modeling, and machine learning to ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Data Analysis and Modeling : Oversee advanced data analysis, modeling, and machine learning to ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Translate complex analytical concepts into clear business insights, helping stakeholders understand ...

CRA Business Analyst

Raleigh, NC · Remote

$50 - $57/hr

Remote Contract Details * Position Type: Contract * Contract Duration: 11 months * Pay Rate: $50.00 ... Key Responsibilities Data Management & Analytics: * Design, build, and maintain Tableau dashboards ...

New

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... analytics, data migration, and operational decision-making. This role works within established ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

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Showing results 1-20

Remote Data Analyst French information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jul 17, 2026, the average yearly pay for remote data analyst french in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst (French), and why are they important?

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 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 popular job titles related to Remote Data Analyst French jobs in Raleigh, NC? For Remote Data Analyst French jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst French jobs in Raleigh, NC look for? The top searched job categories for Remote Data Analyst French jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Analyst French jobs? Cities near Raleigh, NC with the most Remote Data Analyst French job openings:
Director, Data Sciences

Director, Data Sciences

LexisNexis

Raleigh, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

162nd of 451 rated business services


Job description

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **

About our Team:

LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case.

About the Role:

The Director, Data Sciences raises data-driven decision making of a function within a business unit through team leadership. They are also client/industry-facing, and they evangelize methodologies and best practices. They lead people and teams to develop an overall strategy for the execution of projects including creating use cases, roadmaps, alignment of stakeholders, and prioritization. This person acts as coach and leader of Managers and Data Scientists, as well as other resources. Influence should extend outside the director's immediate team to other teams within the director's peers. The Director drives development and implementation across the team to the business, rooted in a deep understanding of our customers, markets, trends, and challenges.

Responsibilities:

  • Strategic Leadership: Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.

  • Team Management: Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.

  • Advanced Research Direction: Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage. Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches.

  • Machine Learning and AI Solutions: Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems. Data Analysis and Modeling: Oversee advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.

  • Data Collection and Preparation: Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.

  • Data Visualization Strategy: Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.

  • Cross-functional Collaboration: Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.

  • Model Deployment and MLOps: Oversee the deployment of machine learning models into production environments, ensuring scalability and reliability.

  • Documentation Standards: Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.

  • Stakeholder Management: Communicate the value and impact of data science initiatives to C-suite executives and business stakeholders.

  • Budget and Resource Management: Manage departmental budget, resource allocation, and infrastructure needs for data science operations.

  • Ethical AI Governance: Develop and enforce ethical guidelines and best practices for AI development and deployment.

Requirements:

  • Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.

  • 10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.

  • Demonstrated experience in managing and scaling data science teams of 15+ professionals.

  • Proven record of delivering high-impact AI and ML solutions that have driven significant business value.

  • Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.

  • Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.

  • Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.

  • Strong business acumen with the ability to translate complex technical concepts into business value.

  • Excellent communication and leadership skills, with experience presenting to executive leadership.

  • Experience working in a global or multicultural environment

  • Record of successful collaboration with product, engineering, and business teams.

  • Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.

Work in a way that works for you:

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

  • Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits

  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business:

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

#AIFluency

U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Formor please contact 1-855-833-5120.

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Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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