At a Glance
- Tasks: Deliver insightful analysis to enhance fundraising strategies and supporter experiences.
- Company: Join Mind, a leading mental health charity with a mission to support those in need.
- Benefits: Collaborative culture, professional development, and the chance to make a real impact.
- Other info: Be part of a supportive team that values innovation and celebrates success.
- Why this job: Use your analytical skills to influence strategic decisions and shape the future of mental health support.
- Qualifications: Curiosity, data analysis skills, and experience with tools like SQL and Power BI.
The predicted salary is between 36388 - 44474 £ per year.
About The Team
We have big goals over the next few years.
We're going to be fighting for mental health in a way we never have before.
Together we'll be working to make sure everyone experiencing a mental health problem gets the support and respect they deserve.
Team information
Will you join us on this exciting journey?
At Mind, we're ambitious about the future.
We know that better use of data, insight and technology can help us build stronger relationships with our supporters, make better decisions and ultimately help more people experiencing mental health problems.
Our Analytics and Insight Team plays a key role in making that happen.
We're a small, friendly and ambitious team that enjoys solving complex problems and finding better ways of working.
We partner with colleagues across fundraising, marketing, digital and technology to turn data into practical insight that improves supporter experience and helps shape strategic decisions.
This is an exciting time to join us.
Over the past few years, we've transformed how we use data across fundraising.
We've developed award-winning supporter journeys, introduced predictive modelling and automation, built new dashboards and reporting, and continue to explore new ways of using insight to improve performance and supporter engagement.
We're not just producing reports—we're helping shape the future of fundraising at Mind.
This role offers the opportunity to work with one of the largest supporter datasets in the charity sector, using tools including
Fast Stats, SQL and Power BI to solve real business challenges.
You'll work on projects that influence campaign strategy, improve supporter journeys and help colleagues make confident, evidence-based decisions.
We're looking for someone who's naturally curious, enjoys asking questions and loves turning data into meaningful insight.
Whether you've identified a new audience, built a predictive model or uncovered an opportunity that changed the direction of a campaign, you'll enjoy seeing your work make a real difference.
Most importantly, you'll be joining a supportive team that enjoys working together, sharing ideas and helping each other develop.
We celebrate success, learn from challenges and are always looking for better ways to do things.
If you're looking for a role where your analytical skills will have real impact, we'd love to hear from you.
This role requires a Disclosure and Barring Service (DBS) check.
- Key duties and responsibilities
- Deliver high-quality analysis and audience insight that supports fundraising strategy and improves supporter experience.
- Build supporter segmentations, profiles and predictive models to help teams target the right audiences more effectively.
- Use Fast Stats, SQL, Power BI and other analytical tools to analyse large datasets and identify trends, opportunities and actionable insight.
- Work closely with colleagues across fundraising, marketing, digital and technology to understand business challenges and recommend data-led solutions.
- Design and maintain dashboards and reports that help stakeholders monitor performance and make informed decisions.
- Identify opportunities to improve supporter journeys through behavioural analysis, profiling and modelling.
- Present complex analysis in a clear and engaging way for both technical and non-technical audiences.
- Maintain high standards of data quality, governance and GDPR compliance.
- Keep up to date with new analytical techniques and technologies, sharing ideas that help the team continue to innovate.
Why join us?
This is much more than a reporting role.
You'll have the opportunity to work on interesting analytical challenges, influence strategic decisions and help shape the future of data and insight at one of the UK's leading mental health charities.
- You’ll work with modern analytical tools including
- Fast Stats, SQL, Power BI and predictive modelling
, while collaborating with experienced colleagues who genuinely value data and the difference it can make.
We're proud of the culture we've built. We trust people to take ownership, encourage new ideas, support each other's development and celebrate success together.
If you're looking for a role where you can continue to develop your technical skills, work on meaningful projects and make a genuine difference, we'd love to welcome you to our team.
Mind's equity statement
Mind is committed to equality of opportunity for all staff, and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
Please refer to the Job Description while completing your application as candidates will be shortlisted based on how closely they match the criteria in the personal specification.
We may close this advert before the advertised closing date if we receive a significant number of applications.
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Supporter Strategy and Insight Analyst in London employer: Mind
Mind in Leeds is an exceptional employer that prioritises both community impact and employee well-being. With competitive pay, development workshops, and a strong commitment to work-life balance, we foster a supportive work culture where you can grow while making a difference in mental health support. Join us in a rewarding retail environment that values your contributions and passion for service.
StudySmarter Expert Advice🤫
We think this is how you could land Supporter Strategy and Insight Analyst in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Supporter Strategy and Insight Analyst in London
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!
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Craft a Tailored Cover Letter:For a full-time role at Mind, 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 Mind. 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 Mind
✨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 Mind!
✨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.
