At a Glance
- Tasks: Design and deliver impactful research projects using data analysis and statistical modelling.
- Company: Join a remote-first research services organisation making a difference in politics and non-profits.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Why this job: Turn complex data into actionable insights that drive real change across Europe.
- Qualifications: Experience with SQL, Python/R, and statistical modelling is essential.
- Other info: Work remotely with a dynamic team and optional access to a London office.
The predicted salary is between 34000 - 60000 £ per year.
Research Data Analyst
Research Services
Remote (UK)
£40,000–£50,000 Base
Harnham have partnered up with a Research services organization that is looking for a Research Data Analyst to join a remote-first team working at the intersection of research, strategy, and data science. You’ll support political parties, non-profits, and research institutes across Europe by turning complex data into actionable insights.
What you’ll do:
- Design and deliver research projects, from survey drafting to data analysis
- Manage and quality-check survey data and polling datasets
- Build and apply statistical models (e.g. cluster modelling, MRP)
- Develop GDPR-compliant data strategies
- Create clear reports, presentations, and visualisations to inform decisions
Tech & Tools: SQL, Python/R, statistical modelling, Tableau/Power BI (or similar).
Setup: Remote across the UK & Europe, with an optional London office.
If you’re passionate about using data for impact in politics and campaigns, we’d love to hear from you. Apply now! 🚀
Data Research Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Research Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples to demonstrate how you turn complex data into actionable insights.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data research. We recommend using the STAR method to structure your answers – it really helps!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Data Research Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the job description. We want to see how your background in data analysis and research aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about using data for impact, and how your skills can contribute to our mission at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL, Python/R, and any statistical modelling experience. We love seeing candidates who are comfortable with the tech and tools we use!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you’re well-versed in SQL, Python/R, and any statistical modelling techniques mentioned in the job description. Brush up on how to use Tableau or Power BI for visualisations, as being able to discuss these tools confidently will show your technical prowess.
✨Understand the Research Landscape
Familiarise yourself with the current trends in political data analysis and the types of projects the organisation undertakes. Being able to discuss recent case studies or examples of how data has influenced political campaigns will demonstrate your passion and knowledge.
✨Prepare for Scenario Questions
Think about how you would approach designing a research project or managing survey data. Prepare to discuss specific examples from your past experience where you’ve turned complex data into actionable insights, as this will highlight your problem-solving skills.
✨Communicate Clearly
Practice explaining your findings and methodologies in a clear and concise manner. Since you'll be creating reports and presentations, showing that you can communicate complex information effectively will be key to impressing the interviewers.