Fundraising insight analyst jobs

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 FastStats, 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

As our Supporter Strategy and Insight Analyst, you'll:

-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 FastStats, 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 FastStats, 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.

Prostate Cancer Research exists to honour the men and families who have been through things no family should have to go through, and to work for a future where no one needs to fear a prostate cancer diagnosis. 

We are always working to provide resources to help, support and empower patients. Giving them the information they need to make better choices about their treatment, while working to identify and target specific unmet needs in the prostate cancer ecosystem, such as racial inequality and bone metastasis. 

Our dedicated staff team is the key to our success, expanding the amount of research that we fund five times over in four years.  

Over the past three years, PCR has won:  

• the Change Project of the year award in 2023 
• the Excellence in Healthcare Partnerships award at the Communiqué 2025 awards 
• Fundraiser of the Year award at the National Fundraiser Awards 2026 
• The Mark Collins Award for Most Powerful Use of Insight to Improve Supporter Experience at the Chartered Institute of Fundraising Awards 2026 

Job Description

We are seeking a motivated and inquisitive Data Analyst to join our Translational Research team.

This role will support the generation, interpretation, and communication of research insights derived from a range of healthcare, clinical, patient-reported, and real-world datasets. The successful candidate will work collaboratively with colleagues and external partners to help transform data into meaningful evidence that informs research, healthcare decision-making, policy development, and patient outcomes.

The role offers an exciting opportunity to contribute to impactful research programmes and innovative initiatives that advance understanding of prostate cancer and improve patient care.

Key Responsibilities

Data Analysis, Feasibility and Insight Generation

· Analyse healthcare, clinical, patient-reported, registry, and other research datasets to identify statistically significant trends, patterns, and meaningful insights.

· Support the development of evidence and analytical outputs that inform research programmes, strategic priorities, healthcare decision-making, and external collaborations.

· Apply appropriate analytical and statistical methods to answer research and business questions.

· Interpret findings and identify their implications, opportunities, limitations, and areas requiring further investigation.

· Contribute to the evaluation of interventions, programmes, treatments, services, and healthcare innovations.

· Support feasibility assessments for proposed projects, including data availability, cohort size, eligibility criteria, survey feasibility and analytical complexity.

· Support cohort identification, eligibility checking, segmentation and participant/sample selection for studies.

· Support data cleaning, transformation, validation and documentation across datasets.

Reporting and Communication

· Prepare clear, accurate, and engaging reports, summaries, dashboards, and presentations for a range of internal and external audiences.

· Present complex analytical findings in formats that are accessible to both technical and non-technical stakeholders.

· Support the development of evidence-based communications, publications, grant applications, and research outputs.

· Work closely with colleagues to ensure insights are translated into actionable recommendations.

· Contribute to client-ready reports, dashboards, slide decks and summaries, ensuring findings are accurate, clear and appropriately caveated.

Collaborative Working

· Work collaboratively with multidisciplinary colleagues and external partners.

· Contribute analytical expertise to research planning, study design, grant applications, and collaborative projects.

Quality and Governance

· Ensure analytical outputs meet high standards of accuracy, transparency, and scientific rigour.

· Support compliance with relevant data governance, confidentiality, information security, and research standards.

· Maintain awareness of best practices in data analysis and evidence generation.

· Support preparation of data specifications, cohort definitions, analysis plans and documentation for governance and Data Access Committee review.

· Maintain clear documentation of analytical decisions, assumptions, methods, limitations, code, data transformations and quality checks.

· Ensure analytical work is delivered in line with approved project scope, consent parameters, data access permissions and information governance requirements. Data Analysis, Feasibility and Insight Generation

Skills and Competencies

Our ideal candidate would have the following:

Qualifications

· Bachelor's degree in Data Science, Statistics, Mathematics, Health Informatics, Epidemiology, Public Health, Life Sciences, Economics, or a related discipline.

· Relevant analytical experience may be considered in lieu of specific degree subject.

Experience

· Experience analysing and interpreting data to generate insights and support decision-making.

· Experience working with structured datasets and producing reports, dashboards, or analytical outputs.

· Experience working collaboratively within multidisciplinary teams.

· Healthcare, research, charity, public sector, or life sciences experience desirable but not essential.

Knowledge

· Understanding of data analysis principles and basic statistical methodologies.

· Awareness of research methods and evidence generation approaches.

· Appreciation of the role of data and evidence in healthcare improvement and decision-making.

· Understanding of data quality, governance, and confidentiality requirements.

Skills

· Strong analytical and problem-solving skills.

· Excellent written and verbal communication skills.

· Ability to present complex information clearly and concisely.

· Strong attention to detail and commitment to accuracy.

· Good organisational skills.

· Proficiency in Microsoft Excel and data analysis or visualisation tools.

· Experience with R and one or more of the following analytical tools: Python, SQL, Power BI, Tableau, or equivalent.

Personal Attributes

· Curious and intellectually engaged.

· Evidence-driven and solution-oriented.

· Collaborative and comfortable working across disciplines.

· Adaptable and keen to develop new analytical skills.

How To Apply

Please apply by submitting your CV and a short supporting statement (maximum 600 words) outlining why you would like the role and why you think you’d be a good fit, giving examples of previous experience.

There will be a one two-stage interview process. The first interview will be online, and the second will be a more informal in-person interview at our office in London.

For more information about the role, please contact our hiring team at the email provided in the full job description for an informal chat.

For more information about our organisation, visit the Prostate Cancer Research website, the Prostate Progress webpage and the PCR online patient resource, The Infopool.

PCR is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals regardless of their race, gender, disability, religion/belief, sexual orientation, or age.