Data Quality Analyst

Global Fishing Watch; United States; Remote; USD 60,000 - 100,000; Full time

Job summary

An innovative organization focused on ocean sustainability is seeking a Data Quality Analyst to ensure high data quality across all products. This role involves conducting thorough QA checks, developing automated data quality controls, and communicating findings effectively. As part of a growing team, you will contribute to impactful projects that harness diverse datasets to promote transparency in fishing activities. If you have a passion for data quality and sustainability, this is an exciting opportunity to make a significant impact in the field.

Qualifications

• 5+ years in QA, software engineering, or data analytics.
• Experience with data visualization and public data product QA.

Responsibilities

• Conduct QA checks and monitor datasets like AIS, VMS, and SAR.
• Develop automated quality control checks for data pipelines.

Skills

SQL

Python

R

Data Quality Assurance

Data Analytics

Attention to Detail

Education

Master's Degree in Relevant Field

Tools

JIRA

Google BigQuery

Data Visualization Tools

Job description

Job Description: Data Quality Analyst at Global Fishing Watch

Global Fishing Watch (GFW) has been a pioneer in creating the first global dataset of fishing activity based on public vessel tracking data for nearly 10 years. Our organization develops tools and APIs to make this data actionable, expanding our data products continually.

Our data pipeline ingests diverse data sources such as AIS, satellite imagery, vessel registries, and partner data, then processes, cleans, and classifies vessel activities using algorithms and machine learning models. The outputs fuel our public products, including maps, APIs, bulk downloads, and scientific publications.

Starting from a team of 5, we have grown to about 100 staff across Research, Engineering, and Product teams. The Data Team manages data quality, documentation, accessibility, and ethical review, evolving with our growth.

Role Overview

The Data Quality Analyst will ensure high data quality across all GFW products by conducting QA checks, monitoring datasets like AIS, VMS, SAR, VIIRS, and more, and promoting a QA culture organization-wide. The role involves impact assessments, cross-team communication, and managing quality assurance roadmaps.

Principal Duties

• Review and assess methodology changes in datasets from research and engineering teams.
• Develop automated quality control checks for data pipelines to detect anomalies and ensure data consistency.
• Act as a knowledge source for GFW data sources and pipelines.
• Manage QA tasks using JIRA and improve data release processes.
• Communicate QA findings through dashboards and metrics to internal and external audiences.
• Standardize metadata and data documentation practices.

Qualifications

• Master's degree or equivalent experience in a relevant field, with at least 5 years in QA, software engineering, or data analytics.
• Strong attention to detail and experience in QA/QC processes.
• Proficiency in SQL and at least one programming language such as Python or R.
• Experience with data visualization tools and public data product QA.
• Knowledge of agile methodologies.

Preferred Skills

• Strong data communication and ethics knowledge.
• Experience with big data pipelines, APIs, and fisheries monitoring.
• Fluency in Google BigQuery and Spanish is a plus.

Additional Information

This is a remote, fixed-term (2 years), full-time position based in eligible countries. The application process includes a cover letter, interviews, and technical assessments. Salary ranges vary by location, with benefits aligned with local standards.

GFW is an equal opportunity employer committed to diversity and inclusion. We seek candidates passionate about ocean sustainability and data quality.