Location
Hybrid working - a minimum of one day per week in our Aldgate, London head office.

Hours
37.5 hours per week, full-time.

Salary
£40,000 per annum.

Contract
5-month fixed term.

Annual Leave
33 days (plus eight bank holidays).

Benefits
Enhanced maternity, paternity and adoption leave, and shared parental pay.
Family-friendly policies.
8% employer pension contribution (Aviva).
Free health cashback plan (Medicash) covering employee plus up to four dependent children.
24/7 virtual GP access (UK registered), plus access to Best Doctors.
Free, confidential employee assistance programme (Medicash).
Access to a wellbeing app.
Flexible working options including hybrid working, flexible working patterns such as part-time, compressed hours, and more*.
Learning and development opportunities including bespoke training and access to LinkedIn Learning.
Commitment to employee health and wellbeing.
Menopause Friendly accreditation and Disability Confident employer status.

About the Role
As our Senior Database Officer, you will take the lead on key tasks within the Database Services team. Working closely with the Database Manager, you will develop and refine automated processes using tools such as Azure Data Factory, Power Automate, and Excel Power Query. Your expertise will help streamline workflows, enhance data accuracy, and ensure our supporter database runs smoothly and reliably.
You will be a trusted point of contact for the Supporter Care team, providing guidance on manual data entry and helping improve documentation and processes. You will help shape best practice across the organisation, empowering fundraising teams to use the database confidently and effectively. Additionally, you will support two Database Officers in responding to complex queries.
If you are passionate about data accuracy and process improvement and want to make a real difference in the lives of those affected by dementia, this role is for you.

Experience
Proven experience working with fundraising databases for data entry, maintenance, and importation.
Strong understanding of data protection guidelines (GDPR).
Experience using PowerQuery within Excel or M language within Power BI to automate data manipulation.
High level of computer literacy and comprehensive knowledge of Microsoft Office applications.

About you
Detail-oriented and proactive with excellent problem-solving skills.
Ability to work collaboratively and provide clear guidance to colleagues.
Committed to maintaining data accuracy and improving processes.
Enthusiastic about learning and development opportunities.
Supportive of an inclusive and diverse workplace culture.

Qualifications
No specific qualifications are mandated, but relevant experience and strong technical skills are essential.