Senior Data Selections Analyst

Senior Data Selections Analyst

Full-Time 41242 £ / year 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 mental health charity with a mission to support everyone in need.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Collaborative team environment focused on continuous improvement and innovation.
  • Why this job: Make a real difference in mental health while honing your data skills.
  • Qualifications: Experience in data selection, CRM systems, and strong communication skills required.

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.

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 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.

Senior Data Selections Analyst employer: Mind [National Association for Mental Health]

Mind is an exceptional employer, dedicated to fostering a supportive and inclusive work environment where every team member can thrive. As a Senior Data Selections Analyst, you'll not only contribute to impactful mental health initiatives but also benefit from a culture that prioritises employee growth, collaboration, and innovation. With opportunities for professional development and a commitment to data integrity, you'll play a vital role in shaping meaningful campaigns while enjoying the unique advantage of working within a mission-driven organisation.

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

Tip Number 1

Network like a pro! Reach out to current or former employees at Mind through 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 brushing up on your SQL and FastStats skills. Be ready to showcase how you've used these tools in past roles to deliver data-driven results.

Tip Number 3

Show off your communication skills! Think of examples where you've worked with both technical and non-technical teams. This will highlight your ability to collaborate effectively.

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 serious about joining our mission.

We think you need these skills to ace Senior Data Selections Analyst

Data Selection
Segmentation
Data Validation
Campaign Support
FastStats Discoverer
CRM Systems
Dynamics 365

Some tips for your application 🫡

Read the Job Description Thoroughly:Before you start your application, make sure to read through the job description carefully. It’s packed with information about what we’re looking for, and it’ll help you tailor your application to show us how you fit the bill.

Show Off Your Relevant Experience:When writing your application, highlight your experience with data selections and CRM systems. We want to see how your skills align with the role, so don’t hold back on sharing specific examples of your past work!

Be Clear and Concise:Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications.

Apply Through Our Website:Make sure to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

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 Role's Impact

Research Mind's mission and how the Senior Data Selections Analyst role contributes to mental health support. Be prepared to explain how your work can enhance fundraising and engagement activities, showing that you’re aligned with their goals.

Prepare for Scenario Questions

Think of specific examples from your experience where you’ve successfully managed data quality and compliance. Prepare to discuss how you’ve collaborated with both technical and non-technical stakeholders to achieve campaign objectives.

Showcase Your Communication Skills

Since excellent communication is key, practice articulating complex data concepts in simple terms. Be ready to demonstrate how you’ve effectively communicated with diverse teams to ensure everyone is on the same page regarding data selections.