Remote EU Data Processing Analyst with AI & Python Learning

PPMI; United States; Remote; AUD 36,000 - 54,000; Full time

Benefits offered by this job

Fully remote (EU)

Hands-on Python/R and AI tooling

Job summary

Verianis is seeking a Data processing analyst to join remotely from the EU on a 12-month service contract with potential extension. The role focuses on data processing, validation and QA of survey data for large-scale programmes across Europe, with exposure to Python, R, and AI-assisted techniques.

You will work within Verianis's Data Solutions team, collaborating with project managers and senior analysts, and will develop automated processing workflows while delivering high-quality data

Qualifications

• Strong numerical and analytical skills
• Experience in a data, analysis or research-related role or strong quantitative background
• Good command of Excel and data handling
• Willingness to learn Python and/or R (some exposure is a plus)
• Professional working proficiency in English; German/French an advantage

Responsibilities

• Support processing, validation and QA of survey data across project lifecycle
• Produce standard deliverables: datasets, data tables, codeframes and documentation
• Support weighting, significance testing and statistical analyses under guidance
• Learn and apply Python, R and automated processing techniques
• Use AI-assisted tools for coding, QA and documentation
• Help develop and improve automated processing workflows

Skills

Strong numerical skills

Analytical reasoning

Excel proficiency

Python/R learning

English proficiency

Tools

Python

R

SQL

SPSS

Job description

Verianis is seeking a Data processing analyst to join remotely from the EU on a 12-month service contract with potential extension. The role focuses on data processing, validation and QA of survey data for large-scale programmes across Europe, with exposure to Python, R, and AI-assisted techniques.

You will work within Verianis's Data Solutions team, collaborating with project managers and senior analysts, and will develop automated processing workflows while delivering high-quality data