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Freelance French Data Analyst Jobs (NOW HIRING)

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Freelance French Data Analyst information

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$13

$32

$61

How much do freelance french data analyst jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for freelance french data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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

To thrive as a Freelance French Data Analyst, you need strong analytical skills, proficiency in data interpretation, fluency in French, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with analytics tools like SQL, Python, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required. Excellent communication, self-motivation, and attention to detail are crucial soft skills for working independently and delivering insights to clients. These skills and qualities ensure accurate data-driven decision-making, effective client interactions, and the ability to manage diverse projects efficiently.

What does a Freelance French Data Analyst do?

A Freelance French Data Analyst collects, processes, and analyzes data, often working with French-language datasets or for clients who require expertise in French markets. Their tasks include interpreting data trends, preparing reports, and providing actionable insights to help businesses make informed decisions. They may also clean and organize data, use analytical tools, and communicate findings in both French and English. As freelancers, they work on a project basis for various companies or organizations.

How do Freelance French Data Analysts typically manage communication and collaboration with international clients and teams?

As a Freelance French Data Analyst, you’ll often work with clients and teams from different countries and backgrounds. Effective communication usually relies on clear reporting, regular virtual meetings, and collaborative tools such as Slack, Trello, or Google Workspace. Being fluent in both French and English is highly advantageous, as it allows you to bridge language barriers and ensure data insights are accurately conveyed. Proactive updates and transparent timelines help build trust, while flexibility in adapting to different time zones can make collaboration smoother and more productive.

What is the difference between Freelance French Data Analyst vs Freelance French Data Scientist?

AspectFreelance French Data AnalystFreelance French Data Scientist
CredentialsTypically requires a degree in data analysis, statistics, or related fieldsOften requires advanced degrees in data science, machine learning, or related areas
Work EnvironmentProject-based, often with clients in finance, marketing, or retailResearch and develop models, often in tech, finance, or healthcare sectors
Employer & Industry UsageUsed by companies needing data insights and reportingUsed by organizations developing predictive models and AI solutions

While both roles involve working with data, Freelance French Data Analysts focus on interpreting data and generating reports, whereas Freelance French Data Scientists develop complex models and algorithms. The choice depends on your skills and the project requirements.

More about Freelance French Data Analyst jobs
What cities are hiring for Freelance French Data Analyst jobs? Cities with the most Freelance French Data Analyst job openings:
What are the most commonly searched types of French Data Analyst jobs? The most popular types of French Data Analyst jobs are:
What states have the most Freelance French Data Analyst jobs? States with the most job openings for Freelance French Data Analyst jobs include:
What job categories do people searching Freelance French Data Analyst jobs look for? The top searched job categories for Freelance French Data Analyst jobs are:
Infographic showing various Freelance French Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Power BI Developer/Data Analyst

Power BI Developer/Data Analyst

Mellott Company

Warfordsburg, PA • On-site

Full-time

Re-posted 4 days ago


Job description

Power BI Developer / Data Analyst

Full-Time or Freelance | Hybrid | Warfordsburg, PA

Role Summary

We are seeking an experienced Power BI Developer / Data Analyst to design, build, and maintain enterprise-grade Power BI reports and dashboards. The ideal candidate has hands-on experience connecting Power BI to Oracle or other on-premises databases, a strong command of DAX, and the ability to translate complex operational data into clear, actionable visualizations for both executive and operational audiences.

This role works closely with the Director of IT and business stakeholders to prioritize and deliver reporting across Sales, Operations, Finance, and Executive dashboards.


Key Responsibilities
  • Design and develop Power BI reports, dashboards, and datasets meeting business and executive requirements
  • Connect Power BI to on-premises Oracle 19c (via on-premises data gateway) and other data sources including M365 and Azure
  • Write optimized DAX measures, calculated columns, and complex time-intelligence formulas
  • Build and maintain Power BI dataflows, datasets, and scheduled refresh pipelines
  • Collaborate with the Director of IS and department heads to gather requirements and iterate on deliverables
  • Ensure report performance, data accuracy, and consistent visual standards across the BI environment
  • Document data models, measures, and report logic for maintainability
  • Support row-level security (RLS) configuration and workspace/app publishing in Power BI Service
  • Assist in data governance decisions as needed


Required Qualifications
Technical Skills
  • 3+ years of hands-on Power BI development experience (reports, datasets, dataflows, service)
  • Expert-level DAX — time intelligence, CALCULATE, iterators, measures vs. calculated columns
  • Strong Power Query / M language for data transformation
  • Experience connecting Power BI to Oracle SQL and other data sources such as data lakes
  • Solid understanding of data modeling: star schema, relationships, cardinality
  • Experience publishing and managing reports in Power BI Service (workspaces, apps, RLS)
  • Comfortable working with source control, GitHub, pbip files


Soft Skills & Working Style
  • Ability to translate ambiguous business requirements into clean, intuitive visualizations
  • Strong attention to detail — accurate data and reliable refresh schedules are non-negotiable
  • Self-directed and comfortable working independently in a lean IS environment
  • Good written communication for documentation and async stakeholder updates
  • Able to give clear timelines of deliverables


Preferred Qualifications
  • Experience with IFS ERP (any version) or similar industrial ERP systems
  • Familiarity with SQL — particularly Oracle SQL — for query optimization and data validation
  • Microsoft Fabric or Power BI Premium / Fabric capacity experience
  • Power BI embedded analytics or paginated reports (SSRS/RDL)
  • Experience supporting industrial companies
  • Microsoft PL-300 (Power BI Data Analyst) certification