Data Entry à United States

Emergent is a global non-profit that mobilizes public and private finance to conserve and restore the world’s forests to combat the climate crisis. We act as a catalyst between forest governments and participants of the LEAF Coalition—a groundbreaking public-private partnership committed to halting tropical deforestation by 2030. By uniting private sector buyers, donor governments, forest governments, Indigenous Peoples and Local Communities (IPLCs), and civil society, LEAF aims to raise and deploy the finance needed to tackle deforestation by making tropical forests worth more alive than dead.

The Role

Emergent is seeking a Data Manager to lead the development and oversight of Emergent’s internal data systems. This is a hands-on role for someone who combines technical expertise with a problem-solving mindset and a deep desire to have a positive impact in climate and nature. You’ll be responsible for building and managing a database to support our operations, ensuring high data quality, and helping to generate insights through analysis and reporting. Prior experience working as part of a nimble and lean team is an asset.

At Emergent, you'll be part of a collaborative, high-impact team working to scale climate finance and protect the world’s forests. This role offers a chance to apply your data expertise to meaningful global challenges—and to help build the systems that make real progress possible.

This is a full-time role, ideally based London or Barcelona, starting as soon as possible. The Manager will report to the Chief Commercial Officer and work closely with the SVP, Strategy and Special Projects.

Responsibilities

• Design, implement, and maintain a centralized relational database
• Develop user-friendly systems for data entry, storage, and access
• Work with cross-functional teams to understand data needs and design appropriate tools
• Ensure data accuracy and integrity across sources and processes
• Create and automate reports, dashboards, and visualizations for internal and external use
• Support ad hoc analysis to inform strategic decision-making and stakeholder engagement
• Design and deliver training in the use of these tools across Emergent.
• Evaluate vendor tools and manage vendor relationships if needed.

Qualifications

• 5 years of experience in data management, analysis, or systems development
• Proficiency in SQL and experience setting up and managing relational databases
• Strong skills in Excel including VBA/macro programming
• Familiarity with visualization and BI tool (e.g., Power BI, Tableau, Looker)
• Excellent attention to detail, initiative, and communication skills
• Ability to work independently and collaboratively in a fast-paced, mission-driven environment
• Interest in climate, sustainability, or nature-based solutions
• Bachelor’s degree or higher
• Additional valued experience:
• Python and similar data languages
• Book building, trading, and portfolio management software
• Voluntary carbon markets

Additional Requirements

Applicants must have work authorization in the country where they are applying.

How to Apply

To apply, please submit your resume and a one-page cover letter detailing why you are a strong fit for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged.

Shortlisted candidates will be contacted. If your application is unsuccessful, we will not retain your personal data.

Equal Opportunities

Emergent provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local or other applicable laws.

Studies have shown that men apply for a job when they meet only 60% of the qualifications, but women apply only if they meet 100% of them. If you think you have most of what we’re looking for and believe you’d be a great fit, we’d love to hear from you.