Data Analyst (FCS94)
Arts Council England
- Closing: 9:00am, 28th Jan 2026 GMT
Job Description
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Overview:
We have an opportunity for an experienced Data Analyst to join Arts Council England. Working as part of a smally team you will support the delivery of Arts Council’s day-to-day data analysis needs.
This is a specialist role that plays a key part in how we deliver timely, accurate analysis across the organisation.
What you’ll be doing
Supporting the day-to-day running of the Data Analysis function at Arts Council England
Responding to urgent and time-sensitive requests, including, but not limited to:
Parliamentary Questions (PQs)
Media data requests
Freedom of Information (FOI) enquiries
Developing and maintaining decision-making tools using Python (or other programme languages)
Owning and enhancing Power BI dashboards, including complex DAX measures
Using SQL to extract, transform and analyse data
· You’ll provide continuity and clear ownership of complex analytical work, helping to manage operational and reputational risk in a fast-paced environment.
What we’re looking for
An individual with strong, hands-on experience with:
Advanced Excel
SQL
Power BI (DAX)
Python or similar coding languages
Confidence working independently on complex analytical tasks
Experience handling sensitive or high-profile data requests including GDPR and DPA
Strong attention to detail and ability to work under pressure
Working at Arts Council England
The opportunity to work on high-impact analysis that informs senior decision-making and supports government stakeholders. You’ll be part of a collaborative team that values clear thinking, practical solutions and shared expertise.
We’re committed to learning and development and this role provides: exposure to complex, real-world data challenges and opportunities to deepen technical skills across analytics tools and methodologies. We support through on-the-job learning, knowledge sharing and access to Arts Council England focused training on Kallidus.
Benefits
Flexible working arrangements (where operationally possible)
Access to learning and development resources
A supportive and inclusive working environment
The opportunity to build experience in an analytical role
Interviews: (Virtual) W/C 09 or 16 February 2026
Removing bias from the hiring process
Applications closed Wed 28th Jan 2026
Removing bias from the hiring process
- Your application will be anonymously reviewed by our hiring team to ensure fairness
- You’ll need a CV/résumé, but it’ll only be considered if you score well on the anonymous review
Applications closed Wed 28th Jan 2026
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