Data Analyst

Transdev is hiring a Data Analyst - Safety to manage and analyze operational and safety data from Waymo and other TAS accounts. The role develops reporting and insights, supports investigations, and works with Safety, Operations, and other stakeholders to improve safety outcomes.

Responsibilities:

• Manage safety and operational data received from Waymo and other TAS accounts
• Collect, clean, validate, standardize, and maintain data from multiple client systems and sources
• Develop and maintain dashboards, scorecards, reports, and recurring performance summaries
• Monitor safety trends, incidents, leading indicators, and key performance metrics
• Identify data inconsistencies, missing information, unusual patterns, and emerging areas of risk
• Support incident investigations and root-cause analyses by providing accurate and timely data
• Produce account-specific reporting while maintaining consistent definitions and standards across the TAS organization
• Partner with Safety and Operations leaders to define reporting requirements and performance measures
• Translate complex data into clear findings, visualizations, and recommendations
• Automate recurring reports and improve data-management processes where practical
• Maintain documentation for data sources, definitions, calculations, reporting procedures, and quality-control practices
• Protect confidential client, employee, operational, and safety information in accordance with company policies and contractual requirements
• Respond to approved requests for data and analysis within established timelines
• Assist with client reviews, internal audits, compliance reporting, and leadership presentations
• Perform additional data analysis and safety-support responsibilities as assigned

Requirements:

• Bachelor's degree in data analytics, statistics, mathematics, computer science, business, safety, or a related field - or equivalent professional experience
• Experience working with operational, safety, transportation, logistics, or client-account data
• Strong knowledge of Microsoft Excel or Google Sheets
• Experience using data-visualization tools such as Power BI, Tableau, or Looker
• Working knowledge of SQL and relational databases
• Ability to clean, reconcile, and analyze data from multiple sources
• Strong attention to detail and commitment to data accuracy
• Ability to explain analytical findings to non-technical stakeholders
• Strong organizational, problem-solving, and time-management skills
• Ability to manage multiple accounts, deadlines, and reporting requirements
• Sound judgment when handling confidential or sensitive information
• Data accuracy and quality control
• Analytical and critical thinking
• Safety and risk awareness
• Confidentiality and professional judgment
• Clear written and verbal communication
• Cross-functional collaboration
• Process improvement
• Client service
• Accountability and reliability
• Be eligible to work in the United States without requiring sponsorship now or in the future (if based in the U.S.)
• Experience analyzing vehicle, fleet, autonomous-vehicle, transportation, or workplace-safety data
• Familiarity with incident reporting, risk analysis, root-cause analysis, and safety-performance indicators
• Experience with Python, R, or another analytical programming language
• Experience automating dashboards, reports, or data-quality checks
• Familiarity with data governance, privacy, access controls, and client-specific reporting requirements
• Experience working in a fast-paced, client-facing environment