What We Do
High-quality data is the foundation of all Mapbox products. Data RAVE is a key division within Mapbox, which is responsible for acquiring, processing, and delivering high-quality location-oriented data to enable internal and external customers. The Road Closures team is responsible for managing traffic-related data within the system. This includes proactively adding, editing, and removing road closures to reflect real-world conditions, as well as responding to customer feedback to ensure that navigation remains accurate, reliable, and up-to-date.
What You’ll Do
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You will review a large amount of traffic data (road incidents: constructions, closures, etc.), and feedback from customers to improve their experience
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You will do a root-cause analysis using various data sources and tools to understand the customers’ issues
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You will make high-quality edits on OSM and other internal data sources based on guidelines
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You will provide investigations and analysis, find patterns, and write reports
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You will interact closely with teammates, managers, and engineers to improve current tools, workflows, products, and services
What We Believe Are Important Traits For This Role
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Strong analytical skills and attention to detail. Ability to work with large volumes of traffic data, identify patterns, and perform root-cause analysis
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Quick learner: able to grasp new tools, workflows, and guidelines efficiently
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English level: B1 (intermediate), both written and spoken — sufficient for daily communication, reading guidelines, and writing reports.
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Willingness to work a 2/2 shift schedule from the office is required (2 days on, 2 days off), with day shift from 8:00am to 8:00pm and night shift from 8:00pm to 8:00am.
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Basic knowledge of traffic regulations is required
Would be a plus:
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Background in GIS, cartography; familiarity with OSM or similar mapping tools
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Practical use of AI tools for data retrieval, automation, or workflow optimization
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Solid knowledge of SQL, Python, JS, or low-code platforms for analysis and automation
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Comfortable working with Jira and Confluence