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Mind National Association for Mental Health is seeking a Data Selections Analyst to join our Data & Analytics team within Supporter Experience and Data. You will help ensure fundraising campaigns and supporter communications reach the right people at the right time using accurate, well-managed data.
You'll collaborate with colleagues across Fundraising, Communications and Supporter Experience to understand campaign requirements and turn these into accurate audience selections and data outputs,
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:
Are you confident working with data, have a strong eye for detail and enjoy solving data problems?, 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?
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.