Global Canopy Programme Job Vacancy: Data Manager - Sustainable Supply Chains, Oxford - United Kingdom

Data Manager – Sustainable Supply Chains
Location: Oxford, UK
Position: Full-time with 6 month initial probation
Salary:  From £27k
Reports to: Head of Programme
Close date: January 5, 2018

This is a unique opportunity to be at the heart of an international team breaking exciting new ground in the pursuit of more transparent and sustainable supply chains. The successful candidate will be an experienced data analyst with experience developing and managing data systems, and working on innovative data visualizations.

The role will sit within the Supply Chains programme at Global Canopy, and will also work very closely with Trase staff at the Stockholm Environment Institute, and other collaborating organisations worldwide. The ideal candidate will be a team player who is process-oriented, comfortable establishing and leading new processes, and welcomes an entrepreneurial environment.

Global Canopy is an agile and entrepreneurial charity with an outsized impact. Our aim is to end large-scale deforestation, a global problem with huge hidden costs for people and prosperity.

We focus on the big market levers driving deforestation at regional, national and international levels. And we bring a fresh approach to identifying, targeting, and mobilising action among the key powerbrokers - the governments, businesses and financial institutions worldwide - with the power to end the global ‘deforestation economy’.

Global Canopy is a founding partner of Trase (Transparency for Sustainable Economies) with the Stockholm Environment Institute. Trase is a ground-breaking sustainability platform, enabling governments, companies, investors and others to better understand and address the environmental and social impacts linked to their supply chains. It draws on vast sets of production, trade and customs data, for the first time laying bare the flows of globally-traded commodities. It comes as a direct response to the ambitious commitments made by leaders across sectors to achieve deforestation-free supply chains by 2020 – and the urgent need this creates for a breakthrough in assessing and monitoring sustainability performance. First launched in 2016, Trase is pursuing an ambitious 5-year strategy, growing rapidly and expanding from an initial focus on soy and cattle in Latin America, to take in Indonesian palm oil next year, and up to 80% of ‘forest risk commodities’ by 2020.

We are seeking a Data Manager and Analyst capable of overseeing internal databases and data products, developing systems to improve access to data, and conducting complex analyses. The ideal candidate will be proficient in extracting, transforming, loading, processing, and analysing complex data sets, together with a developing best-practice data management systems.

  • Develop and implement internal best-practice systems
    • Establish protocols for extracting, transforming, loading, processing, analysing, sharing and visualizing data
    • Align protocols with key data partners, especially SEI surrounding Trase data
    • Develop tools to facilitate internal analyses
    • Determine protocol for vetting quality and use of new data sets
    • Manage data storage across projects within the  Supply Chain Programme
    • In collaboration with the communications team, develop visualization standards for Trase data and other relevant Supply Chain Programme data 
  • Oversee programmatic data use & analysis across the organisation.
    • Contribute to research strategy and priorities across the Supply Chain Programme
    • Provide tutorials on data use and analysis best practices
    • Manage staff access to data sets
    • Serve as a resource for junior staff by inputting into analysis methods, review, and quality assurance
    • Quality check all analysis for external consumption
    • Provide research updates to Head of Programme 
  • Conduct analysis of Trase and supply chains data
    • With input from the Trase research team, conduct complex analysis on the production and trade of key commodities contributing to deforestation
    • Process new data sources for quality and relevance
    • Develop tools for webscraping and expedited data processing
    • Input into the design of the model for ‘Spatially Explicit Information on Producer Consumer Systems’ based on available data within key countries and commodities
    • In collaboration with the communications team, provide visualizations and analysis for communications products 

  • Masters degree in programming, mathematics, statistics, environmental science, or related field
  • Proficiency in R, SQL, and GIS
  • At least two years of experience in data analysis and visualization.
  • Proven experience in robust data analysis and handling of complex data sets, preferably with a focus on land use
  • Previous experience in developing best-practice data systems
  • Experience in producing or coordinating large scale research outputs
  • Excels at working independently and as part of a dynamic team
  • Adept at communicating complex ideas to a novice audience
  • Excellent interpersonal and communication skills
  • Background in research and analysis on land use and land use-change
  • Knowledge of agricultural supply chains or deforestation issues
  • Fluency in Spanish, Portuguese, or Bahasa Indonesian,
  • Skilled in coding language such as python, html, or javascript 
Please write to: with your CV and a cover letter, explaining your motivation and how you meet the essential criteria for the job, and including your salary expectation. Please note that early applications are advised, as we may begin interviewing early, depending on the volume of suitable candidates applying, and will close 9am GMT, January 5, 2018.