Data Analyst, Biodiversity

Location: Cambridge Hybrid Salary: £40,000 DOE 12 Months Fixed Term Contract This role within TBC’s Nature Services Practice will be to analyse, interpret and visualise large datasets to help our client’s incorporate biodiversity into their target setting. Main Responsibilities • Developing evidence-based approaches for focal areas of business development, including workflow and tool development to provide companies with solutions. • Supporting the Nature Services team to improve our data workflows and streamline our existing programs. • Analyse and interpret data provided by clients to identify the best approaches to take to meet the requirements of the task. • Ensuring that our client work is firmly evidence-based, through scientific input, technical review and diffusion of evidence-based methods across the team. Essential attributes and experience • Excellent numerical and analytical skills • At least five years’ experience with programming software (R or Python) to engage with our data analysts and client / partner specialists. • Experience with large datasets – cleaning, preparation, analysis, and visualisation. • Experience working with spatial data (especially in R/Python). • Work within a team to develop new approaches, show proactivity to implement new methods. • University degree in a relevant field (i.e. computer sciences or biodiversity-related field of study) • Demonstrated ability to distil complex scientific concepts into appropriate language for a non-specialist audience, and of communicating this verbally and in writing. • A passion for biodiversity and a belief that business has a positive role to play in a safe and just ecological transition. • Excellent written and spoken English. Desirable attributes • A demonstrated track record of interdisciplinary scientific work and of successfully working in diverse high-capacity teams. • Experience with biodiversity in working landscapes. • Masters degree or PhD in a relevant discipline or equivalent experience. • Experience with statistical modelling/AI/machine learning.