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Data Analyst
Skills & Technologies
Job Description
Merrifield Consultants is recruiting a Data Analyst for a respected professional body. This role sits in a small data insights team, producing evidence and analysis on areas such as membership, students, teachers, awards, research and the wider science landscape.
This is a fixed term contract until 31 December 2026, ideally starting as soon as possible.
Data Analyst Salary: Between £34,800 to £36,800 pro rata (depending on experience) Hours: 35 hours per week Fixed term contract until December 2026 Location: Mostly home based, with monthly team meetings, quarterly meetings and occasional office attendance when needed
The role will involve
Working with messy data and turning it into clear, usable information
Using Python for data manipulation, analysis and reporting
Using Microsoft tools and AWS for access, storage and workflows
Producing clear visualisations and reports
Keeping KPIs up to date
Analysing internal data, including membership numbers, awards, students and teachers
Supporting general data analysis across projects
We are looking for someone with
Good data theory and a sound understanding of data structures
Strong data manipulation and reporting experience
Confident Python skills
Experience producing clear visualisations
The ability to explain findings simply to different audiences
A careful, practical approach to data quality and accuracy
This would suit a Data Analyst who is confident with Python, understands how to work with imperfect data, and wants to work on useful evidence-led projects in a research, membership or not-for-profit setting.
For more information or to apply, please contact Akash Mahmud at Merrifield Consultants.
We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout.
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