Global Fishing Watch | Data Quality Analyst | Washington, DC | United States | | 2023-01-27

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Job Location: Washington, DC

Job Detail:

Reporting to: Senior data product manager

Location: Remote

Working Hours: Global Fishing Watch supports flexible working, so the pattern of hours may vary according to operational and personal needs. Global Fishing Watch works across different time zones and weekend work may be required on occasion. The post holder may be required to undertake periodic domestic and international travel. No overtime is payable. Jyotish Jyotish - Career & Life Prediction

Compensation: Commensurate with experience. Global Fishing Watch offers pension/retirement, health and other benefits commensurate with similar level Global Fishing Watch employees in the country of employment.

Equal opportunities : GFW is an equal opportunities employer. We hire and promote qualified professionals without regard to actual or perceived race, color, religion, sex, sexual orientation, gender, national origin, age, disability, or any other characteristic protected by applicable law. We believe that our mission is best advanced when welcoming the contributions of people of diverse backgrounds, beliefs and cultures. We are committed to providing an inclusive and welcoming environment for all employees of GFW and our partners, vendors, suppliers and contractors.

Background: Global Fishing Watch is an international, non-profit organization committed to advancing ocean governance through increased transparency. We create and publicly share knowledge about human activity at sea to enable fair and sustainable use of our ocean. Founded in 2015 through a collaboration between Oceana, SkyTruth, and Google, GFW became an independent non-profit organization in June 2017. Using cutting-edge technology, we create and publicly share map visualizations, data and analysis tools to enable scientific research and drive a transformation in how we manage our ocean. Our major focus is on commercial fishing because it is the most widespread human activity at sea, the most impactful on ocean health, and the most crucial for global livelihoods and food security. By 2030, we aim to monitor and visualize the impact of ocean-going vessels, both industrial and small-scale, that are responsible for the vast majority of the global seafood catch. We believe human activity at sea should be common knowledge in order to safeguard the global ocean commons for the common good of all.

The Position: The Data Quality Analyst position will play a key role in the Product Team by helping to ensure the highest quality data is reflected in all Global Fishing Watch products and the data is consistently maintained, documented, and updated to help users make the best decision with the best data available. It will require well-developed analytical skills, an advanced understanding of methodology to verify quality assurance and control in evolving Big Data datasets, including AIS, VMS, SAR, VIIRS, and other types of vessel identification data from different sources, as well as an interest in developing developing and maintaining documentation and communication of data.

Principal Duties And Responsibilities

Conduct Analysis, Graphics, and Reporting for Data QA/QC.

  • Provide thorough review and assessments of methodology changes in core data and technology developed by the Research and Engineer teams at GFW, including estimates of fishing events, vessel activity, and vessel identity.
  • Work collaboratively across teams and specifically with Engineering to develop automated and continual quality control checks on data shown in Products to detect abnormalities immediately
  • Review and test output from Product APIs to ensure any changes in logic are accurately captured and understood
  • Coordinate the quality assurance effort for large data changes and releases between different areas of Global Fishing Watch.
  • Clearly report and explain findings in data changes to Product team leads and members of GFW unfamiliar with quantitative analytics through applications such as Google Data Studio, R Shiny, or others that allow for adjustable and visual tracking of data changes through time

Data documentation and maintenance in GFW Products

  • Assist with development of training materials for GFW Products for external partners.
  • Aid in development of long-term data versioning and documentation needs for core GFW data pipeline
  • Provide public documentation of data in GFW products, including downloadable GFW data, and maintain data field definitions and methodology documentation
  • Assist other Product and Engineering team members with any ongoing needs, such as review of user reported data errors, data communication with external partners, and answering questions regarding data and our methodologies from external partners and internal teams


  • Develop and maintain an informed awareness of relevant topics to effectively apply Global Fishing Watch to the sustainability of our ocean.

Candidate Description

Required Skills

  • Good judgment and the ability to make and justify recommendations.
  • Excellent written and oral communications skills in English to effectively collaborate with designers, developers, product managers, and other relevant staff members or clients, and communicate complex technical and scientific information to non-technical audiences.
  • Team player, willing to work with, teach and learn from the GFW team;
  • Comfortable working in a small but fast-growing organization, with changing instructions and requirements
  • Intellectually curious, forward-thinking, willing to suggest/try new technologies and creative approaches to problems
  • Ability to manage multiple projects and meet deadlines
  • Demonstrated ability to work remotely and asynchronously.


  • Experience in fisheries compliance and/or monitoring, control and surveillance, especially regarding fisheries supply chain.
  • Fluency in Google BigQuery
  • Knowledge of AIS, VIIRS, SAR, VMS and other satellite data

Required Experience And Competencies

  • Master’s degree in a relevant area or equivalent professional experience (such as Bachelor’s degree with 8+ years experience) preferred;
  • Fluency with databases, data mining (SQL) and programming in R (or equivalent).
  • Strong statistical and analytical skills; specifically understanding how to QA/QC data, including detecting change in temporal datasets and continually updated data versions.
  • Demonstrated knowledge of best practices in data analysis
  • Experience with metadata documentation and maintenance for Big Data

If you don’t think you check all the boxes, but believe you have unique skills that make you a great fit for the role, we want to hear from you!

Please apply by Friday, 17 February

Apply Here

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