Geospatial expert, Data Analysis Associate

Responsibilities

Develop methodologies and solutions for analysis within the scope of CCCA’s methane program:

• Stay current with satellite-based methane detection advancements and develop strong understanding of technical methodologies and uncertainties to identify the technical aspects behind the legal needs/questions of the program and translate technical insights for the team and CCCA’s partners.
• Develop geospatial data analyses tailored to legal and advocacy needs -for example, attributing detected methane plumes to the emitting facility, including assessing data quality and potential biases.
• Develop data analysis activities, including the combination of multiple databases and sources to draw insights across those sources.
• Developing and implementing ETL pipelines to gather, clean, and validate data from diverse sources (remote sensing data, government sources, NGO databases, big data, bottom-up emissions estimates, company reports, news articles, and other sources) to contribute to legal analysis.
• Building strong relationships with technical partners (civil society, research institutions, commercial entities).

Facilitate the incorporation of data analysis into legal and advocacy work:

• Present technical information and analysis results to both technical and non-technical audiences (g., legal or communications staff, civil society partners) in meetings and written reports (including detailing methodology).
• Prepare visual products to incorporate analysis and results into written documents and presentations.
• Educate other CCCA members in data science and analysis to enhance interdisciplinary work and cross-pollination between programs.

Skillset

• Bachelor’s or master’s degree in an area compatible with the role that will be performed.
• At least 3 years of relevant professional experience, including conducting analysis that incorporates geo-information – strong preference for experience with atmospheric research and analysis.
• Flexibility to adapt analysis and methodologies as needs of the program evolve.
• Ability to work in interdisciplinary and multicultural teams.
• Ability to work both independently and in a team environment.
• Strong research skills, including attention to detail, process documentation, and thinking creatively about potential sources of information.
• Good data analytics skills and data visualisation (g., elaboration of thematic maps, Power BI, Tableau).
• Strong organisation and communication skills.