Vice President of Data Analytics

Company Description FLOWer Lab, part of the Centre for Functional Ecology at the University of Coimbra, focuses on plant ecology, evolution, agro-environment, and pollination services. The team studies plant diversification and sympatric speciation driven by polyploidization, as well as plant–pollinator interactions that shape current plant diversity patterns. In applied science, FLOWer Lab explores pollination as a critical ecosystem service for sustainable agroecosystems. The group is actively engaged in biodiversity conservation through research in reproductive biology, ecology, and both in situ and ex situ conservation of endangered species. FLOWer Lab also works to recognize and enhance the value of endogenous genetic resources.
Role Description The Vice President of Data Analytics is a full-time, remote role responsible for leading the strategic use of data to support FLOWer Lab’s research, operational, and funding objectives. This role oversees the design and implementation of data analytics frameworks that enable robust analysis of ecological, evolutionary, and agro-environment datasets. Day-to-day activities include guiding data collection and validation, developing statistical and analytical models, and translating complex findings into actionable insights for scientific teams and stakeholders. The Vice President will collaborate with researchers on experimental design and metrics, build dashboards and reporting systems, and support financial planning and resource allocation through data-driven decision-making. This role also involves mentoring analytics staff, ensuring data governance and compliance, and identifying opportunities to enhance the lab’s impact through advanced analytics and innovative methodologies.
Qualifications
Strong Analytical Skills and experience leading Analytics initiatives to support strategic and operational decisions.
Expertise in Data Analytics, including data modeling, visualization, and interpretation of complex ecological or scientific datasets.
Solid foundation in Statistics, with practical experience applying statistical methods and experimental design in research or business contexts.
Understanding of Finance and the use of analytics to support budgeting, forecasting, and resource allocation.
Advanced proficiency with analytics tools and languages (e.g., Python, R, SQL, BI platforms) and familiarity with data governance best practices.
Proven leadership experience managing multidisciplinary teams and collaborating with scientific or technical stakeholders.
Excellent written and verbal communication skills, with the ability to present complex data insights clearly to diverse audiences.
Master’s or PhD in Data Science, Statistics, Applied Mathematics, Economics, Ecology, or a related quantitative field; equivalent experience considered.
Experience working with environmental, ecological, or life sciences data is highly beneficial, as is familiarity with academic or research settings.
Demonstrated ability to work effectively in a remote environment, manage multiple projects, and maintain high standards of quality and integrity in data work.

Work arrangement
Yes