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Remote Data Analyst French Jobs in Springfield, MO

GRVTY

Technical Scientist - SME

Springfield, MO · On-site +1

$150K - $235K/yr

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and data streams. * Support the full TCPED process for OPIR -- from tasking and collection planning ...

micro1 AI

Pharmacovigilance Expert

Springfield, MO · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

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All JobsData Analyst French JobsRemote Data Analyst French JobsRemote Data Analyst French Jobs in Springfield, MO

Remote Data Analyst French information

See Springfield, MO salary details

$30.9K

$75.2K

$123.7K

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

As of Aug 21, 2026, the average yearly pay for remote data analyst french in Springfield, MO is $75,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,200.00 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 are popular job titles related to Remote Data Analyst French jobs in Springfield, MO?

For Remote Data Analyst French jobs in Springfield, MO, the most frequently searched job titles are:

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

The top searched job categories for Remote Data Analyst French jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Remote Data Analyst French jobs?

Cities near Springfield, MO with the most Remote Data Analyst French job openings:

Remote Data Analyst French jobs near you
Infographic showing various Remote Data Analyst French job openings in Springfield, MO 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 $75,172 per year, or $36.1 per hour.

Actuarial Analyst (Remote)

memployersmins

Springfield, MO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Are you early in your actuarial career and excited to turn data into meaningful business insights? MEM Insurance is seeking an Actuarial Analyst to join our growing Finance team. In this role, you will support pricing, reserving, and analytical initiatives that directly influence business decisions.
 
Working closely with the Actuarial Director and cross-functional partners, you’ll contribute to impactful analyses, develop your technical expertise, and build a strong foundation in workers’ compensation and property-casualty insurance. This is an excellent opportunity to grow your actuarial career in a collaborative, supportive environment where learning and curiosity are encouraged every day.
 
Essential Duties and Responsibilities:Actuarial & Pricing Support
  • Support quarterly reserve analyses, including preparing and validating data and analyzing claims trends such as frequency, severity, and loss development.
  • Assist with pricing activities, including data preparation for rate indications and class ratemaking.
  • Support rate implementation, testing, and rate filings, including analysis of NCCI loss cost filings.
  • Partner with Claims, Underwriting, and Compliance teams to gather inputs and support actuarial deliverables.
Data Analysis & Model Execution
  • Extract, clean, and validate data from multiple sources to support actuarial analysis.
  • Perform foundational statistical analyses and summarize results for actuarial review.
  • Maintain and update actuarial tools, models, and recurring reports.
  • Identify data inconsistencies or unusual trends and escalate appropriately.
Business Support & Insight Development
  • Respond to internal requests for data and analysis from cross-functional partners.
  • Assist in developing reports, dashboards, and tools that support underwriting and operational decisions.
  • Identify emerging patterns and trends in data and contribute to insight development.
  • Build foundational knowledge of insurance products, risk drivers, and business operations.
Communication & Collaboration
  • Prepare clear summaries, reports, and basic visualizations of analytical results.
  • Communicate findings in a structured and easy-to-understand way.
  • Collaborate with team members and stakeholders to support deliverables and timelines.
  • Incorporate feedback to continuously improve work quality and effectiveness.
Professional Development & Standards
  • Ensure work is accurate, well-documented, and aligned with actuarial and regulatory standards.
  • Progress toward actuarial credentials through exam completion.
  • Develop technical knowledge in actuarial methods, data analysis, and modeling.
  • Participate in training and development opportunities to build capability.
Qualifications:
  • Bachelor’s degree in Business Administration, Mathematics, Statistics, Insurance, Finance, Economics, or a related field required.
  • Progress toward actuarial credentials (minimum of 2 actuarial exams completed).
  • Workers’ compensation experience preferred.
  • No licenses required.
 
Company Culture and Values
At MEM Insurance, we are committed to our vision, mission, and values. We foster a culture of collaboration, integrity, and innovation. Our team is passionate about delivering exceptional service to our customers while supporting each other’s growth and success. We believe in accountability, continuous learning, and creating an environment where employees feel valued and empowered.
 
 Diversity Statement
MEM Insurance is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We believe that varied perspectives drive innovation and strengthen our ability to serve our customers and communities.
 
 Total Rewards Overview
  • Health Plans: Medical, Dental, and Vision
    Includes fertility benefits, fully paid preventative care, and adult orthodontia.
  • Annual Performance Based Bonus
  • Employer-Paid Life and Disability Benefits:
    Life Insurance (3x base salary), AD&D, Short and Long-term Disability.
  • Wellness and Recognition Program: Employer-paid incentives for employees and spouses.
  • Flexible Spending Account and Dependent Care options
  • Health Savings Account: Generous employer contribution.
  • Time Away from Work:
    Generous PTO, 11 Holidays + 4 Early Releases, 16 Hours Volunteer Time Off, 20 Days Paid Parental Leave, Marriage, Bereavement, and Jury Duty leave.
  • Employee Assistance Programs
  • 401k Retirement Plan: Employer match and profit sharing.
  • Adoption Assistance and Tuition Assistance
 
Notice Regarding Use of Artificial Intelligence
MEM may use artificial intelligence (AI) tools to more efficiently facilitate and assist in decisions involving recruitment, hiring, promotion, renewal of employment, selection for training or apprenticeship, discharge, discipline, tenure, or the terms, privileges, or conditions of employment. Any such use of AI tools will comply with all applicable laws.

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