Job description
Verianis an independent research, evidence, evaluation, and communications agency that helps governments solve public policy challenges by working with citizens and the public realm.
We provide services to government and public sector organizations, drawing on expertise in social research, policy development, and communication.
The agency operates globally, with offices across Europe, Asia Pacific, and the US.
About the role
Data processing analyst
· Remote (EU) · 12-month service contract, with intention to extend
Why this role is different
Verian runs some of the largest and most complex survey programmes in Europe - for EU institutions, national governments of the UK and EU Member States, national statistical offices, and other national and regional public bodies. The data outputs you help produce will directly inform public policy decisions across the continent.
The core of the role is the craft itself: producing accurate, high-quality data outputs in a fast-paced delivery environment where attention to detail matters every day. At the same time, Verian is investing heavily in automation, coding and AI-assisted approaches to data processing, and you will be part of that journey from the start - learning Python, R and AI-assisted techniques alongside the engineers and senior analysts building these solutions.
What you will do
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
What you need from day one
Strong numerical and analytical skills, and meticulous attention to detail — accurate data is the whole job
Experience in a data, analysis or research-related role, or a strong quantitative background (e.g. statistics, economics, data science, social science with a quantitative focus) — direct survey experience is welcome but not required
Good command of Excel and general data handling
Willingness and genuine appetite to learn Python and/or R - some exposure is a plus, but we will teach you
Professional working proficiency in English. Knowledge of German and/or French would be an advantage
What will strengthen your application (not required)
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
Expect a structured learning path: training in survey data processing, statistics and coding, with direct mentoring from senior analysts.
What we offer
Indicative rate of €2,000–3,000 per month - the final offer will be agreed based on your specific 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 global manager in London, working on large assignments alongside project managers across Europe
Hands-on experience with Python, R, automation and AI-assisted development on real, large-scale programmes - a foundation for a serious technical career
The process - quick and simple
One introductory call, which will also cover the technical side; potentially a small practical task; then a fast decision. The work is available now and waiting - we will come back to you immediately, so if this sounds interesting, please get in touch as soon as you can.
Salary: 2,000–3,000Originally posted on Himalayas
Who can apply
Eligible countries: Australia, Canada, Germany, India, United Kingdom, United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC+0, UTC+1, UTC+5.5, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.