Head of Data & Evaluation β€” Urban Health Insights in London

Head of Data & Evaluation β€” Urban Health Insights in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data strategy and evaluation to drive impactful decisions in urban health.
  • Company: Gsttcharity, a forward-thinking organisation dedicated to equitable health solutions.
  • Benefits: Contributory pension, flexible hours, and generous annual leave.
  • Other info: Hybrid role based in London with a focus on stakeholder engagement.
  • Why this job: Make a real difference in urban health through ethical data practices.
  • Qualifications: Extensive experience in social sector evaluation and strong leadership skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Gsttcharity seeks a Head of Data & Evaluation to ensure that high-quality, equitable evidence informs funding and operations. Based in London, this hybrid role requires strong leadership in data strategy and stakeholder engagement.

The candidate should have extensive experience in social sector evaluation and a commitment to ethical data practices.

Benefits include a contributory pension, flexible working hours, and generous annual leave.

Head of Data & Evaluation β€” Urban Health Insights in London employer: Gsttcharity

As a Stories & Content Manager at our London-based charity, you will thrive in a supportive and dynamic work culture that prioritises employee growth and well-being. With a focus on creativity and collaboration, we offer flexible working arrangements, generous annual leave, and a commitment to diversity and inclusion, ensuring that your contributions are valued and impactful. Join us in making a difference while enjoying a range of benefits designed to support your personal and professional development.

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Contact Details:

Gsttcharity Recruitment Team

We think you need these skills to ace Head of Data & Evaluation β€” Urban Health Insights in London

Communication Skills
Problem-Solving Skills
Attention to Detail
Automation
SQL
Python
Data Engineering