At a Glance
- Tasks: Deliver high-quality data selections and support fundraising campaigns for mental health.
- Company: Join Mind, a leading organisation fighting for mental health support.
- Benefits: Be part of a mission-driven team with opportunities for personal growth.
- Other info: Collaborative environment focused on continuous improvement and data-driven decisions.
- Why this job: Make a real impact in mental health while honing your data skills.
- Qualifications: Experience with data selection, CRM systems, and strong communication skills required.
The predicted salary is between 35000 - 45000 £ 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
We're recruiting a Senior Data Selections Analyst to join Mind's Analytics and Insight Team. This is a hands-on role responsible for delivering high-quality data selections, supporter segmentation, data validation and campaign support across Mind's fundraising and engagement activities. Working closely with fundraising, communications and data colleagues, you'll help ensure supporters receive relevant and timely communications while maintaining excellent standards of data quality and compliance. You'll play a key role in delivering audience selections, supporting campaign planning, improving data quality and helping colleagues make informed, data-driven decisions.
We'd like to hear from you if you have:
- Experience delivering end-to-end campaign selections, from briefing through to data outputs and reporting.
- Experience using FastStats Discoverer (or a similar marketing database and segmentation tool).
- Strong knowledge of CRM systems and data quality management, ideally including Dynamics 365.
- Experience using SQL/T-SQL to query, validate and investigate data.
- Excellent communication skills with the ability to work collaboratively with both technical and non-technical stakeholders.
Interviews are expected to take place during the week commencing 22 June 2026. This role requires a Disclosure and Barring Service (DBS) check.
Key duties and responsibilities
The post holder will:
- Deliver accurate and timely audience selections, segmentation and data extracts to support fundraising, marketing and supporter engagement activities.
- Work with stakeholders to translate campaign requirements into effective data selections, ensuring all outputs meet agreed briefs, deadlines and compliance requirements.
- Support the delivery of automated and multi-channel supporter journeys through the creation, testing and validation of audience selections.
- Use FastStats, SQL and other analytical tools to investigate data, validate outputs and identify opportunities to improve data quality and campaign performance.
- Carry out data quality checks, imports and reconciliations, ensuring the integrity and accuracy of supporter data across Mind's systems.
- Provide expert advice and support to colleagues on data selections, segmentation, CRM data structures and best practice use of supporter data.
- Develop and maintain documentation, processes and guidance to support consistent and efficient ways of working.
- Work collaboratively with colleagues across fundraising, communications, digital and supporter experience teams to deliver supporter-centric and data-driven campaigns.
- Contribute to continuous improvement initiatives, identifying opportunities to increase automation, efficiency and effectiveness across data and campaign delivery processes.
- Ensure all activities are undertaken in line with GDPR, data protection legislation, Gift Aid regulations and Mind's internal policies and procedures.
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.
Senior Data Selections Analyst in Stratford employer: Mind [National Association for Mental Health]
At Mind, we are dedicated to creating a supportive and inclusive work environment where every employee can thrive. As a Senior Data Selections Analyst, you will play a vital role in our mission to improve mental health support, while benefiting from a culture that prioritises collaboration, professional development, and a commitment to data integrity. With opportunities for growth and a focus on meaningful impact, joining our Analytics and Insight Team means being part of a passionate community working towards positive change in mental health.
Contact Details:
Mind [National Association for Mental Health] Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Selections Analyst in Stratford
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Mind through LinkedIn or other platforms. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by practising common questions related to data selections and CRM systems. We recommend using the STAR method to structure your answers – it’ll help you showcase your experience effectively.
✨Tip Number 3
Showcase your skills with real examples! When discussing your experience, highlight specific projects where you used FastStats or SQL to make an impact. This will demonstrate your hands-on expertise.
✨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, it shows you’re genuinely interested in joining our mission at Mind.
We think you need these skills to ace Senior Data Selections Analyst in Stratford
Some tips for your application 🫡
Know the Role Inside Out:Before you start writing, make sure you understand what the Senior Data Selections Analyst role is all about. Dive into the job description and highlight the key responsibilities and skills required. This will help us see how your experience aligns with what we're looking for.
Tailor Your Application:Don’t just send a generic application! Use specific examples from your past experiences that relate to the duties mentioned in the job description. Show us how you've successfully delivered data selections or worked with CRM systems like Dynamics 365.
Show Off Your Communication Skills:Since this role involves working with both technical and non-technical folks, it’s crucial to demonstrate your communication prowess. Make sure your application is clear, concise, and free of jargon. We want to see how you can explain complex data concepts in an easy-to-understand way.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us without any hiccups. Plus, it shows you're keen on joining our team at Mind and making a difference in mental health support!
How to prepare for a job interview at Mind [National Association for Mental Health]
✨Know Your Data Tools
Familiarise yourself with FastStats Discoverer and SQL/T-SQL before the interview. Be ready to discuss how you've used these tools in past roles, especially in delivering campaign selections and data validation.
✨Understand the Campaign Process
Brush up on the end-to-end campaign selection process. Be prepared to explain how you translate campaign requirements into effective data outputs, ensuring compliance and meeting deadlines.
✨Showcase Your Communication Skills
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of examples where your communication made a difference in a project.
✨Emphasise Data Quality Management
Highlight your experience with CRM systems, particularly Dynamics 365. Be ready to discuss how you've ensured data integrity and accuracy in previous roles, and any strategies you've implemented for continuous improvement.