Data Selections Analyst

MIND (THE NATIONAL ASSOCIATION FOR MENTAL HEALTH); Greater London; Hybrid; GBP 32,000 - 39,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Mind is seeking a Data Selections Analyst to join the Data & Analytics team within Supporter Experience and Data. This hybrid role requires presence at the Stratford office for a minimum of two days per week, with data selection and quality checks to support fundraising campaigns and communications.

You will work with stakeholders across Fundraising, Communications and Supporter Experience to translate campaign requirements into accurate data outputs using FastStats and our CRM, ensuring data

Qualifications

• Experience with data selection or analysis to produce audience selections or outputs.
• Strong attention to detail and a methodical approach to validating data quality.
• Experience managing multiple pieces of work and delivering outputs to deadlines.
• Experience using a CRM or supporter database and understanding data quality.

Responsibilities

• Produce accurate audience selections and segmentation for campaigns and communications.
• Translate campaign requirements into data selections and outputs.
• Validate data for accuracy before release and meet deadlines.
• Manage multiple data requests and competing priorities.

Skills

Data analysis

Attention to detail

Stakeholder communication

Data quality

Problem solving

Tools

FastStats

CRM systems

Job description

Data Selections Analyst

Data Selections Analyst

• London Salary:£35,702
• Pay Frequency:Annual Salary
• Location:National Mind Hybrid (Stratford - London)
• Directorate:Income Generation
• Contract Type:Permanent full time
• Closing Date:18 October 2026

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.

Will you join us?

Are you confident working with data, have a strong eye for detail and enjoy solving data problems?

We're looking for a Data Selections Analyst to join our Data & Analytics team within Supporter Experience and Data.

Data plays an important role in how we understand and communicate with our supporters. In this role, you'll help make sure our fundraising campaigns and supporter communications reach the right people, at the right time, using accurate and well-managed data.

You'll work closely with colleagues across Fundraising, Communications and Supporter Experience to understand their campaign requirements and turn these into accurate audience selections and data outputs.

You'll use data selection and analysis tools, including FastStats, alongside our CRM to produce and validate supporter data. You'll also investigate data issues, manage competing campaign deadlines and help us maintain high standards of data quality.

You don't need to have worked in the charity sector before or know all of our systems from day one. We're interested in people with transferable data skills who are curious, methodical and keen to develop their knowledge.

This is a hybrid role and you'll be required to work from our Stratford office for a minimum of two days per week.

This role will also requires a DBS check.

The post holder will:

• Produce accurate and timely audience selections and segmentation for fundraising campaigns and supporter communications.
• Work with stakeholders to understand campaign requirements and translate them into appropriate data selections and outputs.
• Carry out thorough validation and quality-control checks to ensure data is accurate and complete before it is released.
• Manage multiple data requests and competing priorities to meet agreed campaign deadlines.
• Use our CRM and data tools to investigate and resolve data issues, escalating more complex issues when appropriate.
• Deliver accurate data to internal teams and approved third-party fulfilment partners.
• Apply appropriate consent, communication preferences, exclusions and suppressions to supporter selections.
• Help identify data quality issues and contribute to maintaining accurate supporter records.
• Work collaboratively with colleagues across Data & Analytics, Fundraising, Communications and Supporter Experience.
• Contribute to improving our data selection processes, documentation and ways of working.

Do you enjoy working with data and checking the detail to make sure things are right? Can you organise your workload when several deadlines are competing for your attention? Are you comfortable investigating data when something doesn't look quite right?

We'd particularly like to hear from you if you have:

• Experience of using data selection or analysis tools to produce audience selections or data outputs. Experience of FastStats would be helpful, but equivalent tools are equally relevant.
• Strong attention to detail and a methodical approach to validating and quality-checking data.
• Experience of managing multiple pieces of work and delivering accurate outputs to deadlines.
• Experience of using a CRM or customer/supporter database and an understanding of good data quality.
• Experience of investigating and resolving data issues using appropriate data tools.
• The ability to understand stakeholder and campaign requirements and translate these into appropriate data outputs.
• Good communication skills and the ability to work with both technical and non-technical colleagues.
• An understanding of audience segmentation and targeted supporter or customer communications.
• An understanding of data protection and the importance of handling personal data appropriately.

Experience in fundraising, marketing, membership, charities or another customer-focused environment would be useful, but it is not essential.

If you enjoy working with data, solving problems and want to use your skills to support work that makes a difference, we'd love to hear from you.

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.