Data Quality Analyst
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About The Position
Global Fishing Watch (GFW) started its journey almost 10 years ago creating the first global dataset of fishing based on public vessel tracking data. Since then, we have not only created tools for users to make that dataset actionable through an online platform and APIs, but we have continued to expand our released data products. Our pipeline is a series of processes that ingests data sources (e.g. Automatic Identification System (AIS), satellite imagery, vessel registries, external partner data sources), compiles, cleans, aggregates the information, and then applies a variety of algorithms and machine learning models to classify vessel activity (e.g. fishing, port visits, transshipments), behavior and identity. The data pipeline outputs are productive BigQuery tables that fuel our public-facing products (APIs, Map, and Data Download Portal), our analytic reports, and research papers. We then make these datasets available through our multiple products: Public open map platforms with advanced data navigation, visualization, and real-time report generation allow users with no GIS or big data experience to obtain the data they need, Application Programming Interface (API) we allow users to access our data through our APIs to download or connect to their platforms, Bulk data downloads, Scientific journal publications. From a team of 5 researchers and software engineers, we have expanded to an organization of ~100 people with dedicated teams, including Research, Engineering, and Product. For this reason, we are looking to expand our Data Team. Four years ago, the Data Team initially began to manage the growing need for cross-team coordination and communication on data product releases. The Data Team’s sole focus is to manage the quality, documentation, accessibility, and ethical review of data products from initial integration into public production. As we’ve grown, the quality assurance work under the Data Team has also continued to evolve. The Data Quality Analyst will play a key role in the Data Team by helping to ensure the highest quality of data generated and data delivery in all Global Fishing Watch products.
