Data Processing Analyst

Stack

Responsibilities

• ▹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

• ▹Strong numerical and analytical skills and meticulous attention to detail
• ▹Experience in a data, analysis or research-related role, or a strong quantitative background (e.g. statistics, economics, data science, quantitative social science)
• ▹Good command of Excel and general data handling
• ▹Willingness and genuine appetite to learn Python and/or R
• ▹Professional working proficiency in English

Nice to have

• ▹Exposure to Python, R, SQL, SPSS or other statistical software
• ▹Familiarity with survey research or survey datasets
• ▹Interest in AI-assisted coding or analytical tools
• ▹Knowledge of German and/or French

Soft skills

What we offer

• ▹Indicative rate of EUR 2,000-3,000 per month, final offer based on skills and experience
• ▹Full-time engagement on an initial 12-month service contract (independent contractor or affiliate arrangement) with the intention to extend
• ▹Fully remote, based anywhere in the EU
• ▹A place in Verian's global Data Solutions team, reporting to a manager in London
• ▹Structured learning path: training in survey data processing, statistics and coding, with mentoring from senior analysts
• ▹Hands-on experience with Python, R, automation and AI-assisted development on large programmes

About the company

Verian is an independent research, evidence, evaluation and communications agency that helps governments and public sector organisations solve public policy challenges. It runs many of Europe's largest survey programmes, with offices across Europe, Asia Pacific and the US.