Data Scientist, Data Manager

IFIP

. Administer, enrich, and ensure the reliability of economic databases by integrating new sources, conducting quality checks, documenting processes, and maintaining data flows .

Posted 10/23/2026full-timePacé • FranceMid-LevelSenior💰 €30,000 - €38,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data management, statistical analysis, and business intelligence, with strong capabilities in SQL, Power BI, and data processing languages such as R or Python. Proven ability to design and maintain ETL/ELT pipelines and contribute to digital transformation initiatives.

Highest-signal resume keywords

SQL ProficiencyPower BI ExpertiseETL/ELT Pipeline DevelopmentData Processing with R or PythonAzure Data Factory Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLRPythonData ModelingData VisualizationStatistical AnalysisETL/ELT DevelopmentDashboard DevelopmentPredictive AnalysisData Management

Soft Skills

Analytical MindsetInterpersonal SkillsAutonomyCommunication SkillsMeticulous Approach

Tools & Technologies

Power BIAzure Data FactoryPower AutomateBusiness Intelligence ToolsData Collection Tools

Industry Keywords

EconomicsApplied ResearchDigital TransformationData Value EnhancementAgriculture

Tech Stack

Tools & technologies

AzureETLFluxPythonSQL

About the role

Key responsibilities & impact

Administer, enrich, and ensure the reliability of economic databases by integrating new sources, conducting quality checks, documenting processes, and maintaining data flows
Design, develop, and maintain data collection, transformation, and loading pipelines (ETL/ELT), particularly using Azure Data Factory, SQL, and R (or Python) scripts
Automate data processing, updating, and distribution processes, particularly with Power Automate and tools in the Microsoft ecosystem
Develop and enhance dashboards, interactive reports, and Business Intelligence tools in Power BI for IFIP teams and industry partners
Conduct statistical analyses and create visualizations for economic studies and applied research projects, in collaboration with subject-matter engineers
Contribute to the development of modeling and predictive analysis methods and, as needed, artificial intelligence solutions
Support users in adopting the tools and contribute to the continuous improvement of data management and data value-enhancement practices
Monitor technological developments and contribute to the digital transformation of the Economics division and the Institute

Requirements

What you’ll need

Higher education degree in statistics, data science, business intelligence, computer science, or a related field (engineering degree, master’s degree, or equivalent)
Proficiency in SQL and at least one data processing and analysis language (R or Python)
Strong proficiency in Power BI, including data modeling, visualization, and report design
Experience with or knowledge of Azure Data Factory and Power Automate is a plus
Meticulous approach to data management, analytical mindset, autonomy, and ability to document and maintain robust solutions
Strong interpersonal skills, with the ability to work with diverse business profiles and communicate results clearly
Professional proficiency in English
Interest in economics, agriculture, or applied research is a plus

Benefits

Comp & perks

Health insurance
Meal vouchers