Remote Research and Data Analyst (UK) in Lancaster

Remote Research and Data Analyst (UK) in Lancaster

Lancaster Full-Time 60000 - 68205 £ / year (est.) Home office (partial)
M

At a Glance

  • Tasks: Analyse public opinion data and create compelling insights for diverse audiences.
  • Company: Join a dynamic research agency dedicated to building a united and inclusive UK.
  • Benefits: Competitive salary, generous leave, and personal growth budget.
  • Other info: Exciting projects ahead and a culture of ongoing learning and collaboration.
  • Why this job: Make a real impact by tackling societal divides and promoting common ground.
  • Qualifications: Proficiency in R coding and strong data visualisation skills required.

The predicted salary is between 60000 - 68205 £ per year.

More in Common is seeking a full-time Research and Data Analyst as we grow our team and advance our mission of building a more united and inclusive UK, where all people feel respected, better understood, and share a sense of belonging. The Analyst will serve as a key member of the UK team, supporting our core areas of research, communications, partnership, and client work.

More in Common is a research agency working across the US, UK, Germany, France, Poland and Brazil to tackle polarisation and division. Our mission is to understand the forces driving us apart, help societies find common ground and bring people together to tackle shared challenges. In the UK, our work is best described as being part consultancy, part think tank. We provide a full suite of research services including polling and focus group research; evidence reviews and secondary data analysis; audience mapping and audience strategy; strategic communications strategy and campaign development.

Our insights help leaders in government, the media, business, and civil society to develop better strategies and communications – particularly in reaching disengaged communities far from the Westminster/London bubble – and to better navigate tricky and divisive issues. Over the last year, More in Common has published agenda-setting thought leadership on a whole range of debates facing British society.

In 2025, More in Common has a range of exciting projects in the pipeline, including:

  • Refreshing our core values model with a deeper understanding of the attitudes and worldviews that shape the most important divides in Britain in 2025
  • Supporting the aid sector to deliver more effective messages to reach beyond their highly engaged activist base
  • Working with video game designers to develop strategic interventions with low-trust groups to tackle disinformation
  • Developing new strategies to talk about men’s health issues in ways that avoid culture war traps
  • Expanding our international research offer
  • Working with national institutions to help them better understand their audiences and users
  • Working with leading transport authorities and think tanks to help navigate backlash against active transport and public transport initiatives.

DIVERSITY, EQUITY + INCLUSION: We will have a better chance of uniting divided societies if our team reflects a broad range of social and cultural backgrounds, beliefs, political opinions, and life experiences. We particularly encourage applications from underrepresented and minority communities.

The role will report to our Research and Analysis Manager. The role will be based in our London office, with Monday-Thursday working at the office and Friday at home or the office.

Analysis

  • Translating public opinion data into insights for diverse audiences including policymakers, media, and the general public
  • Performing analysis using techniques including cluster analysis, multi-level regression modelling, conjoint analysis and MaxDiff analysis
  • Telling compelling stories through creative data visualisation
  • Proactively expanding the team’s analytical capabilities

Research

  • End-to-end project management for public opinion research projects from design to execution, analysis and presentation of insights
  • Conducting quantitative fieldwork including survey drafting and executing advanced survey experiments
  • Upholding a culture of best research practice, including supporting global colleagues with research queries

Dissemination and partnerships

  • Managing external relationships with clients, partners and research vendors
  • Identifying and recruiting new partners and opportunities across business, civil society and the public sector
  • Designing insights products to disseminate our insights and research
  • Developing press releases for journalists, including conducting data checks
  • Drafting and co-authoring public-facing research reports and briefings

Proficiency in coding in R is a requirement for this role. Beyond this, the following would be an asset:

  • Demonstrated expertise extracting meaningful insights from complex data sets
  • Strong data visualisation skills, with the ability to communicate insights to diverse audiences
  • Good understanding of statistical methods including regression modelling and hypothesis testing
  • Keen interest in learning new analytical techniques
  • A track record of project management
  • Curiosity for understanding and engaging people, and a desire to tell new stories that focus on building upon common ground in Britain today
  • An understanding of the UK political system and a keen interest in current affairs and UK public policy
  • Professional background in public opinion or market research would be desirable

JOINING MORE IN COMMON

With around 60 staff across seven countries, each member of our team makes a vital contribution to our impact, and we put a strong emphasis on team selection and values. We look for people who:

  • Are strategic, rigorous, restless, energetic and creative
  • Are able to think ahead and get big stuff done
  • Are committed to a process of ongoing learning
  • Have direct experience with and understand people from different perspectives and backgrounds
  • Are excited to do work that works across political divides and that promotes shared national identities
  • Are interested in reaching left behind communities
  • Are excited to work with heart as well as head
  • Want to be part of finding practical solutions

COMPENSATION

Competitive salary (between £32,500 and £42,500) along with generous leave policy; personal learning and growth budget.

HOW TO APPLY

The application deadline is 23:59, 2 May 2025. Applications should include a CV and a cover letter (max one page). A note on cover letters: we recognise that applying for a job is time-consuming and that generative AI tools can be helpful in the writing process. However, candidates shine best when they express themselves and their ideas in their own words. We therefore recommend that applicants avoid using these tools when preparing application documents.

Indicative Timeline (please note these dates remain subject to change):

  • Initial conversation with Research and Analysis Manager w/c 12 May
  • Meetings with Team Members: From 19 May
  • Written Exercise: 22-26 May
  • Final panel interview with UK Director: 30 May
  • We hope to make an offer to the successful candidate by 6 June 2025

Remote Research and Data Analyst (UK) in Lancaster employer: More in Common

More in Common is an exceptional employer that fosters a collaborative and inclusive work culture, where every team member plays a crucial role in advancing our mission to unite and empower communities across the UK. With a focus on employee growth, we offer competitive salaries, generous leave policies, and a personal learning budget, ensuring that our staff can thrive both professionally and personally. Located in London, our dynamic environment encourages creativity and strategic thinking, making it an ideal place for those passionate about making a meaningful impact in society.

M

Contact Details:

More in Common Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Research and Data Analyst (UK) in Lancaster

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like More in Common!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Remote Research and Data Analyst (UK) at More in Common.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like More in Common.

Apply Directly through Our Website

When you find a suitable opening like Remote Research and Data Analyst (UK) at More in Common, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Remote Research and Data Analyst (UK) in Lancaster

Data Analysis
Statistical Methods
R Programming
Cluster Analysis
Multi-Level Regression Modelling
Conjoint Analysis
MaxDiff Analysis

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at More in Common, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at More in Common. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at More in Common

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at More in Common!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.