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A leading conservation organization is seeking a Data Insights Manager to optimize data usage and lead impactful projects. This role involves analyzing data, developing strategies for understanding impact, and coordinating activities across teams. The position offers a salary of up to £38,000 and promotes diversity and inclusion in the workplace.
Data Insights Manager
Location: Newark - Remote working with occasional travel to Newark and other UK locations
Salary: Up to £38,000
Type: Full-time, 35 hours per week, Permanent contract
Application deadline: 1st June 2025
First interview: 17th June 2025
Second interview: 27th June 2025
The Wildlife Trusts are a federation of 46 charities supported by the Royal Society of Wildlife Trusts, with over 900,000 members, 32,500 volunteers, and 3,400 staff across the UK. We are at a pivotal point in our 110-year history, implementing a new strategy focused on nature recovery, biodiversity, and sustainable landscapes. We manage over 2,600 nature reserves, operate visitor and education centres, and own farms, all dedicated to wildlife conservation and public engagement.
We are seeking an enthusiastic Data Insights Manager to optimize our data usage across The Wildlife Trusts. Working directly with the Director for Climate Change and Evidence, you will lead large-scale data projects like the Great Big Nature Survey, analyze internal data, and evaluate our external impact, including public engagement initiatives like 30 Days’ Wild. You will also develop new strategies to better understand our impact and coordinate data activities across teams.
We value passion, respect, integrity, pragmatic activism, and diversity. We encourage applications from underrepresented groups, including minorities and individuals with disabilities. We are committed to safeguarding and promoting welfare, ensuring accessibility in our recruitment process, and increasing workforce diversity through our initiatives.
Preferred skills include data analysis and management. Work experience as a Data Analyst or in Business Intelligence is desirable. Fluency in English is required.