Meet the team: One of the keys to delivering an ADAS driving experience is an accurate, up-to-date HD map that describes the world around us. This map, collected onboard our vehicles and processed by the Data Services Operations team, must meet intense quality standards achieved through structured workflows, rigorous policy and attention to detail. Along with providing HD map production, the Map Operations team supports and enables data-driven decision making by providing GIS analysis to teams. We are seeking a highly skilled and motivated Data Services Analyst to join our team. The ideal candidate will be responsible for quality controlling map data, processing automation feedback, and crafting best practices related to Geographic Information Systems (GIS). This contract will be 1 year (e.g. 12 months) in length. What you'll do: Execute quality control functions in HD map data pipeline to ensure accuracy and consistency. Produce HD map data through digitization, curation, and vehicle-log processing. Provide automation feedback to improve efficiency of Map Operations. Maintain and ensure the quality of GIS data and related processes. Communicate production status, blockers, and quality findings to team leads and cross-functional stakeholders. Analyze spatial data through the use of a wide variety of mapping software, internal and external. Associate or Bachelor's Degree in GIS, Geography, Environmental Science, or related field Previous experience working in an AI/self-driving setting or similar Experience sourcing and federating third party data for spatial analysis What you'll need to succeed: High School Diploma or GED equivalent with two years of employment experience required. Associate or Bachelor's Degree preferred. Proficiency in GIS software such as ArcGIS, QGIS, or similar Strong analytical and problem-solving skills Excellent communication and teamwork abilities Experience in quality control and data management is preferred Ability to work 100% at desk in a 2D and 3D virtual environment Nice to have: Associate or Bachelor's Degree in GIS, Geography, Environmental Science, or related field Previous experience working in an AI/self-driving setting or similar Experience sourcing and federating third party data for spatial analysis