Senior Data Analyst

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Environmental Defense Fund

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Remote

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30+ days ago

Overview:
Put your passion and skills to work for the planet. Climate change is the most urgent issue of our time, and we need people like you to help us build a vital Earth — for everyone.

We’re Environmental Defense Fund, a fast-paced nonprofit with a growing staff of more than 1,000 people in nearly 30 countries. We deliver game-changing solutions that cut climate pollution and strengthen people’s ability to thrive despite the effects climate change is already having. We work wherever we can have the most impact, from local communities to top companies to governments worldwide, and even in space.

Our
culture , values and commitment to diversity make EDF an exciting and meaningful place to work. Every job here makes a difference. Won’t you join us?
Responsibilities :
Location – Any US Office, Remote
Note: This is a Full-Time, 2 year term position with benefits.

Overall Function
EDF is seeking a Senior Data Analyst to conduct scientific research and analysis on large environmental datasets related to studying and addressing air and water quality. The Senior Analyst will generate data science insights that advance a range of EDF workstreams as needed, such as Global Clean Air strategic initiatives and projects to mitigate flood and chemical exposure risk in the Gulf Coast. The analyst will also be integral to the expansion of an organization wide Data Science Hub. The Senior Data Analyst will be a key team member in EDF’s Office of the Chief Scientist, joining a data science team working on a variety of projects, sharing knowledge, and building data capacity and community across EDF. The location is flexible and can be remote or based in EDF’s U.S. offices.

This position reports to the VoLo Senior Environmental Data Scientist.

Key Responsibilities
  • Extract, transform, quality control, query and analyze air and water quality monitoring and modeling geospatial datasets generated by the Global Clean Air and Gulf Coast Flood and Chemical Risk projects and other sources for scientifically defensible trends, spatial patterns and stories.
  • Visualize and evaluate attributes of external data sources (e.g. traffic activity datasets, land use, emissions) and conduct integrative analyses with air and water quality datasets.
  • Develop and apply systematic workflows (e.g. scripting and scheduling of certain data processes for regularly timed execution in the cloud).
  • Maintain cloud-based projects, datasets, and resources - keeping them organized, versioned, updated, well-documented, and managing permissions
  • Contribute to efforts to build capacity and community around data science at EDF
  • Curate and visualize data in a variety of user-friendly, compelling formats, including as maps of results from geospatial analyses.
  • Facilitate access to data and insights for stakeholders, including those most impacted by the outcomes, and request feedback to guide analysis plan.
  • Communicate research products across EDF programs and levels of expertise.
  • Help develop reports, fact sheets, blog posts, and other materials for general and specific audiences on topics relevant to the petrochemicals initiative.
  • Participate in advancing EDF DEI goals in which people from all backgrounds and experiences feel connected, included, and empowered to address the environmental and organizational challenges in alignment with EDF values.
  • Additional relevant responsibliites as assigned.

Qualifications
  • Bachelor's degree in a quantitative field (e.g., mathematics, statistics, engineering, physics, computer science) and 4 or more years of work experience or Master's degree in an environmentally relevant science field plus at least 2 or more years of relevant experience.
  • Strong programming skills in a scripting language, Python or R preferred.
  • Proficiency working in databases (e.g. PostgreSQL, Google BigQuery, Microsoft SQL Server or Access) and ability to write queries in SQL.
  • Proficiency in spatial analysis with ability to access and analyze geospatial data sets programmatically (e.g., R, Python) and/or in databases (e.g., PostGIS, BQ, arcpy) allowing for analysis of large (100s of GB) data sets.
  • Strong quantitative analysis skills and knowledge in statistics.
  • Ability to work independently, manage time efficiently, and collaborate effectively with diverse colleagues in a fast-paced environment.
  • Excellent problem solving and multi-tasking skills.
  • Ability to communicate complex ideas in writing and orally to multiple stakeholders with different levels of expertise.
  • An interest and commitment to solving environmental problems through collaborative projects based on rigorous science and solutions-focused advocacy.
  • Demonstrates self-awareness, cultural competency and inclusivity, and ability to work with colleagues and stakeholders across diverse cultures and backgrounds.
Preferred
  • Familiarity with cloud computing platforms (e.g. GCP, AWS, Azure) and services (e.g. virtual machines, containers, cloud functions, cloud storage).
  • Background in atmospheric, environmental and/or health sciences.

Pay Ranges:
We offer a strong total rewards package encompassing competitive salary, robust benefits, and professional development opportunities consistent with a modern global organization. We take into account factors such as candidate experience, skills, training, internal team equity and local norms.

The pay range for this role is shown below.

Please note that pay ranges are country specific. As a result, the stated currency is not meant be converted into any other currency.

Minimum Salary: USD $70,000.00/Yr. Maximum Salary: USD $77,000.00/Yr. EEO Information:
Environmental Defense Fund is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.