Market Research Data Analyst

Market Research Data Analyst

Location: Remote (UK-based; occasional access to a London office if needed)

Salary: Up to £50,000

THE COMPANY

We’re working with a fast-growing, pan-European research and strategy consultancy that helps progressive organisations, campaigns and non-profits make better decisions. They combine polling, modelling, data science and insights to influence strategy across multiple countries - think high-impact, politically sensitive work that shapes messaging and campaigns at scale. The team is distributed across Europe and the US, remote-first, and highly multilingual.

They care about ethics, creativity and learning, and they’re serious about doing work that matters - for clients who demand rigour, nuance and real-world impact.

THE ROLE:

This is a hands-on, high-impact Data Analyst role for someone who thrives on variety and wants their work to inform strategic decisions. You’ll move between survey design, data engineering, statistical modelling and insight communication - often on the same day.

Day-to-day you’ll:

• Design, run and QA surveys and handle vendor management and fieldwork logistics.
• Prepare, clean and manage survey and auxiliary datasets to a high standard.
• Build and interpret statistical models (e.g., clustering, MRP, predictive models) to answer strategic questions.
• Create clear, actionable reports, presentations and data visualisations that non-technical stakeholders can act on.
• Support cross-functional project teams combining polling, modelling and digital work.
• Contribute to improving methods and tooling - testing new approaches and scaling what works.
• Work with partners on R&D-style projects to push the boundaries of political and behavioural research.

WHAT WE’RE LOOKING FOR:

• 2–3 years’ experience in data, research or analytics - ideally in political, public policy, MedTech, or social research contexts.
• Hands-on experience across the full research lifecycle: questionnaire design, fieldwork management, data cleaning and analysis.
• Practical modelling experience - comfortable with cluster analysis, MRP, regression, or other predictive techniques.
• Strong SQL / data-wrangling skills and fluency with statistical tools (R/Python/SPSS/SAS) and reporting tools.
• Excellent communicator - you can turn complex results into crisp, compelling stories and slide decks.
• Comfortable working remotely across time zones and collaborating with a multilingual team.
• Ethical, curious and proactive - you’ll be trusted to make judgment calls and to prioritise quality and transparency.
• Fluency in a foreign language - French, German, Polish, Italian or Spanish