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PPMI Construction Company

Data Processing Analyst

PPMI Construction Company

Data processing analyst supporting survey data processing and validation for EU public policy decisions. Collaborating on data automation, coding, AI-assisted approaches and statistical analysis.

Posted 7/23/2026contractRemote • 🇪🇺 Anywhere in EuropeMid-LevelSenior💰 €2,000 - €3,000 per monthWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong numerical and analytical skills with meticulous attention to detail, proficient in data processing and validation. Capable of applying Python and R for statistical analyses and automated workflows while supporting survey data quality assurance.

Highest-signal resume keywords
Python ProgrammingR ProgrammingStatistical AnalysisData ValidationExcel Proficiency

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical SoftwareData HandlingSurvey ResearchSignificance TestingAutomated Processing Techniques
Soft Skills
Analytical SkillsAttention to DetailWillingness to Learn
Tools & Technologies
AI-Assisted ToolsSQLSPSS
Industry Keywords
Data AnalysisQuantitative ResearchSurvey DatasetsEconomicsSocial Science

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Support the processing, validation and quality assurance of survey data across the project lifecycle
  • Produce standard deliverables: datasets, data tables, codeframes and documentation
  • Support weighting, significance testing and statistical analyses under guidance from senior analysts
  • Learn and apply Python, R and automated processing techniques to reduce manual effort
  • Use AI-assisted tools for coding, QA and documentation
  • Help develop and improve automated processing workflows alongside existing tools

Requirements

What you’ll need
  • Strong numerical and analytical skills, and meticulous attention to detail
  • Experience in a data, analysis or research-related role, or a strong quantitative background (statistics, economics, data science, social science with a quantitative focus)
  • Good command of Excel and general data handling
  • Willingness and genuine appetite to learn Python and/or R
  • Professional working proficiency in English
  • Knowledge of German and/or French would be an advantage
  • Exposure to Python, R, SQL, SPSS or other statistical software (not required)
  • Familiarity with survey research or survey datasets (not required)
  • Interest in AI-assisted coding or analytical tools (not required)

Benefits

Comp & perks
  • Fully remote, based anywhere in the EU
  • Hands-on experience with Python, R, automation and AI-assisted development on real, large-scale programmes
  • Structured learning path: training in survey data processing, statistics and coding