Rewilding Europe is a pioneering organisation dedicated to restoring and revitalizing wild nature across diverse landscapes in Europe. To support our mission, we rely on a robust, data-driven approach to monitoring and adaptive learning, ensuring that our interventions are both impactful and scalable. We are seeking a Business Intelligence Analyst to support measuring rewilding impact through data automation, dashboards, and cross-domain analysis.

About Rewilding Europe

Europe is at the forefront of large-scale nature recovery across 10 (soon to be 15) landscapes across Europe. Our mission is to make Europe a wilder place. We have set ambitious targets for demonstrating large-scale rewilding on the ground. From these showcases, we aim to scale up rewilding all over Europe. With a fantastic and diverse team of experts and passionate colleagues from all over Europe (34 fte in the Central Team and around 100 fte in our Landscape Teams), we are committed to driving the rewilding movement forward for the benefit of nature and people.

Role

This hybrid role sits at the intersection of data engineering and data insight, requiring someone with the technical expertise to build and automate robust data pipelines, while also developing clear, accessible dashboards and other visual tools. That is, you will lead the technical development and

automation of Rewilding Europe’s data platform in Microsoft Fabric, enabling the integration and processing of diverse datasets across landscapes. At the same time, your work will translate data into meaningful, time-bound visual products that support storytelling, donor engagement, and public outreach. This will ensure the focus remains on end-user relevance and visibility rather than back-end infrastructure alone.

Positioning in the organisation

Reports to the Lead Impact Monitoring & Research. Collaborates closely with the Geospatial & Monitoring Manager and the Monitoring & Research Manager, who work closely with data, ensuring a structured and efficient approach to data management, monitoring, and reporting. While the Business Intelligence Analyst leads on data management, automation and reporting, the other team members will focus on field and monitoring data collection and analysis, remote sensing and geospatial analysis, sensor and technology adoption among other topics in support of the landscape teams. Together, the team ensures that Rewilding Europe’s data-driven approach enhances decision-making and operational efficiency. The role is key to complement the current development of data pipelines ("the machine room") with visible, shareable outputs ("the showroom") that support internal use and external communication.

Main responsibilities

Data Platform Management & Integration

• Oversee Rewilding Europe’s data platform in Microsoft Fabric, ensuring seamless data

integration across the organisation.

• Maintain data pipelines, storage, and processing workflows, ensuring efficiency, security, and accessibility.
• Develop and implement data governance policies, ensuring compliance with best practices for data integrity and security.
• Build automated workflows that generate repeatable and interpretable outputs for monitoring indicators across multiple domains.
• Support integration and interpretation of economic, social and ecological data.
• Develop interactive dashboards and visual products that serve both internal decision- making and external storytelling needs, especially for engagement and fundraising purposes.
• Improve analytical methods to track process and impact indicators.
• Support adaptive management by transforming raw data into actionable recommendations

Data Analysis & Visualization

Key qualifications

• Master’s degree in data science, computer science, statistics, or related field, with experience in ecological or conservation-related contexts preferred but not required.
• 3-5 years of experience in data analysis and/or data engineering.
• Experience working with cloud computing solutions (e.g., Azure, Azure Data Factory, Azure DevOps, Azure Fabric) is preferred.
• Proficiency in Python, R, SQL, DAX coding languages and databases.
• Proven experience with working on data cleaning, integration, automation and ELT/ETL processes, and visualization tools like Power BI or Power Apps.
• Comfortable with hypothesis testing and applying basic statistics (e.g. trends, means, variance, confidence intervals, and hypothesis testing.
• Familiarity with analysis of ecological, social and economic data
• Familiarity with Geographic Information Systems (GIS) and tools like ArcGIS, ArcGIS Dashboards, and spatial data management.
• Understanding of data governance, validation, and quality control
• Strong problem-solving & communication skills, with experience working across cross- disciplinary teams & external partners (research institutions, policymakers).

Remuneration

• Rewilding Europe is a professional and dynamic organisation with a friendly working culture. We offer competitive salaries, reflecting your background, expertise, level of experience, and country of residence.
• The position is graded in salary scale 7 with the salary structure of Rewilding Europe ranging from scale 4 to scale 11.
• This is a hybrid position, with at least two days in the office in our Wild Quarters in Heilig Landstichting, the Netherlands
• Due to work visa restrictions, applicants must be citizens of a European Union member state/EEA or Swiss or UK citizens, or have the right to live and work in the EU.

Information and procedure

We invite those interested in this position to submit a motivational letter and CV in pdf before 23 June 18.00 CET to HR@rewildingeurope.com. Please include Business Intelligence Analyst in the subject line. Any queries regarding this position should also be sent to this email address.

Shortlisted candidates will be notified within 5 working days of RE receiving their application, with the first round of interviews taking place soon after. Please note that applications will be reviewed on a rolling basis, and decisions may be made before the deadline if a suitable candidate is identified. Early submission is strongly encouraged.

We strive to ensure that our workforce reflects society and the international character of our organisation.