Marine Spatial Data Analyst Maternity Cover - Blue Ventures

Location : Remote/Working from Home

Closing date for applications: August 8, 2026

Start date: August 24, 2026

Contract duration: One Year

Remuneration: 46,121-79,763 GBP (UK) 62,489-122,478 USD (Belize) 321,927,813-630,978,513 IDR (Indonesia) 4,015,965-7,871,291 KES (Kenya) 40,582,990-79,542,660 MGA (Madagascar) 69,143,850-135,521,946 TZS (Tanzania) 85,121-166,836 USD (United States)

We unlock power with coastal communities

Blue Ventures connects coastal communities restoring the ocean, providing the resources and partnerships they need to unlock their power and turn local action into global impact. We link communities with allies, knowledge and influence to create unstoppable waves of change.

Together, we’re placing communities at the centre of solutions to sustain fisheries, manage ecosystems and redefine how the world protects the ocean.

Summary job description

We are currently recruiting a Marine Spatial Data Analyst to provide technical stewardship of Blue Ventures' spatial data system, ensuring the continued delivery of high-quality spatial data, dashboards and decision-support tools that support community-based fisheries management. This role will combine spatial data management, database administration, data visualisation and user engagement, while supporting marine spatial planning analyses and the development of user-centred decision-support tools.

Working closely with the Head of Spatial Ecology, Ecological Data Scientist and the wider Data Science team, the successful candidate will play a key role in maintaining and improving Blue Ventures' spatial data infrastructure, ensuring it remains reliable, well-documented and responsive to programme needs.

The ideal candidate will have a strong background in spatial data management and analysis, excellent problem-solving skills, and a passion for using data to support community-led conservation. Reporting to the Head of Spatial Ecology, this is a full-time remote role, with occasional international travel to work closely with colleagues, partners, field teams and communities.

Roles across the Data Science team are highly interdependent, and candidates must be equally comfortable working independently: competently driving their own tasks and team priorities, and thriving within a small, collaborative team. Given BV's global, distributed structure, applicants must demonstrate experience coordinating effectively across regions and cultures, with genuine sensitivity to differing working styles, communication norms, and paces of work. This requires flexibility not just in schedule, but in mindset; meeting each team and context with openness, curiosity, and a genuine willingness to adapt.

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