Map Product Analyst I

Aurora Innovation•Pittsburgh, PA

37d•$72,000 - $108,000•Hybrid

About The Position

Aurora is seeking a Map Product Analyst I to join their team. This role is crucial for improving tools and operational efficiency within mapping operations. The analyst will be responsible for analyzing performance metrics to identify root causes of inefficiencies, translating complex data into actionable operational strategies, and influencing product development priorities. This position acts as a key liaison between engineering, data analytics, policy, and operations teams.

Requirements

3+ years of professional experience in operational analytics, quality assurance, process improvement, or a closely related analytical role.
Demonstrated experience designing and executing in-depth root cause analyses on operational workflows or large-scale workforce performance.
Proven experience conducting user research methodologies, such as direct user shadowing, focus groups, or user acceptance testing.
Proficiency in SQL or similar database querying languages to extract, manipulate, and analyze user efficiency and quality data independently.
Strong written and verbal communication skills, demonstrated by creating documentation for analysis results and presenting findings in clear, concise, and organized manner.

Nice To Haves

Previous experience working within Geographic Information Systems (GIS), mapping operations, or the autonomous vehicle industry.
Experience monitoring, auditing, or managing the performance of third-party vendor workforces.
Lean Six Sigma Green Belt, Certified Quality Auditor (CQA), or similar process improvement certification.

Responsibilities

Execute comprehensive root cause investigations into operational inefficiencies by detecting process bottlenecks, analyzing cross-user patterns, and examining throughput fluctuations.
Synthesize qualitative findings from focus groups, user shadowing, and user session evaluations into high-impact, actionable reporting.
Collaborate with Engineering to provide test support for product development, offer technical feedback on automation tools, and resolve gaps in validation.
Utilize insights from Training and Policy teams to conduct focused quality reviews, uncovering error patterns and mapping discrepancies overlooked by automated systems.
Establish new evaluation frameworks and KPIs to assess the impact of product deployments on tool performance in production environments.
Design and execute A/B tests and experiments to provide data-driven insights to inform product priorities and process improvement opportunities.