Data Analyst, Energy Team

Responsibilities

• Collect, organize, and analyze internal and external datasets related to oil and gas pollution (e.g., emissions, chemicals, air and water quality, health statistics).
• Develop dashboards, maps, and visualizations to communicate data findings to diverse audiences, including policymakers, regulatory agencies, media, and the public.
• Support integration of optical gas imaging (OGI) and aerial data in our buildout, migration, and future use of ArcGIS.
• Monitor and evaluate international, federal, state, and industry data sources (e.g. EPA, EIA, state regulators, etc.) for trends and violations.
• Clean and standardize complex datasets, perform qualitative, quantitative, geospatial, and temporal analyses, and identify anomalies.
• Work with Energy, Policy, and Communications staff to support investigations and campaigns using data-driven insights.
• Provide training opportunities for staff and partners on use of the ESRI suite of tools and utilization of aerial data.
• Work with the Communications team to translate satellite data and findings, building effective communication strategies for diverse audiences.
• Collaborate with scientists, organizers, and community partners to build working relationships and co-create data tools, fact sheets, and reports.
• Stay current with environmental data science tools, methodologies, and regulatory developments.

Skillset

• Master’s degree in Data Science, Environmental Science, Public Health, Statistics, Geography, Sociology, or a related field and 3-5 years of experience in data analysis preferably with a focus on environmental, public health, or energy topics OR Bachelor’s degree in Data Science, Environmental Science, Public Health, Statistics, Geography, Sociology, or a related field and at least 5 years of experience in data analysis preferably with a focus on environmental, public health, or energy topics.
• GIS certificate OR completion of all coursework required for certification. If not certified, certification is required within the first 6 months of employment.
• Proficiency with relational database management systems.
• Proficiency with Python, R, or other statistical tools.
• Proficiency with data visualization tools (e.g., GIS platforms, Tableau, Power BI).
• Strong skills in data wrangling, cleaning, and analysis.
• Strong organizational skills, attention to detail, and personal accountability.Strong writing, editing, and oral communication skills tailored for diverse audiences.
• Ability to work independently while fostering collaboration across teams and organizations.
• Adaptability, flexibility, and effective prioritization within a multi-project workspace and dynamic political landscape.
• Commitment to environmental justice, anti-racism, and intersectional advocacy principles.