Senior Data Selections Analyst in London

Senior Data Selections Analyst in London

London Full-Time 35000 - 45000 £ / year (est.) No working from home possible
Mind [National Association for Mental Health]

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 equality and continuous improvement.
  • Why this job: Make a real impact in mental health while honing your data skills.
  • Qualifications: Experience with data selections, SQL, and CRM systems 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 London employer: Mind [National Association for Mental Health]

Mind is an exceptional employer dedicated to championing mental health, offering a collaborative and inclusive work culture that prioritises employee well-being and professional growth. As a Senior Data Selections Analyst, you will have the opportunity to make a meaningful impact while working alongside passionate colleagues in a supportive environment that values data-driven decision-making and continuous improvement. With a commitment to equality and diversity, Mind fosters a workplace where every voice is heard and respected, making it an ideal place for those looking to contribute to a vital cause.

Mind [National Association for 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 London

Tip Number 1

Network like a pro! Reach out to current employees at Mind or similar organisations on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.

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 helps you showcase your experience effectively!

Tip Number 3

Show off your skills! Bring examples of your previous work with FastStats or SQL to the interview. Demonstrating your hands-on experience will make you stand out as a candidate who can hit the ground running.

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 London

Data Selections
Supporter Segmentation
Data Validation
Campaign Support
FastStats Discoverer
CRM Systems
Dynamics 365

Some tips for your application 🫡

Read the Job Description Carefully:Before you start writing, give the job description a good read. It’s packed with clues about what we’re looking for, so make sure you highlight your relevant experience and skills that match our needs.

Show Off Your Skills:When detailing your experience, focus on the specific tools and techniques mentioned, like FastStats or SQL. We want to see how you’ve used these in real-life scenarios, so don’t hold back!

Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications at a glance. Remember, clarity is key!

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets to us directly and is considered promptly. Plus, it’s super easy!

How to prepare for a job interview at Mind [National Association for Mental Health]

Know Your Data Tools

Make sure you brush up on your knowledge of FastStats Discoverer and SQL/T-SQL. 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

Familiarise yourself with the end-to-end campaign selection process. Be prepared to explain how you translate campaign requirements into effective data outputs, and share examples of how you've met deadlines and compliance requirements in previous projects.

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 or collaboration.

Emphasise Data Quality Management

Highlight your experience with CRM systems, particularly Dynamics 365, and your approach to maintaining data quality. Be ready to discuss specific strategies you've implemented to ensure data integrity and accuracy in your previous roles.