Data Analyst

Position Summary

The Data Analyst - Safety will manage, organize, analyze, and report on operational and safety data received from Waymo and other TAS accounts. This position will help ensure that client data is accurate, secure, accessible, and converted into useful insights for the TAS Safety team.

The Data Analyst will collaborate with Safety, Operations, Account Management, and other stakeholders to identify trends, monitor performance, support investigations, and improve safety outcomes. The ideal candidate is detail-oriented, comfortable working with large and complex datasets, and able to communicate findings clearly to both technical and non-technical audiences.

Transdev is proud to offer:

• Competitive compensation package of minimum $60,320 – maximum $70,720

Benefits include:

• Vacation: minimum of two (2) weeks
• Sick days: 5 days
• Holidays: 12 days; 8 standard and 4 floating
• Other standard benefits: 401(k) retirement plan, medical, dental and vision, life insurance, short-term disability, voluntary long-term disability.

Key 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Core Competencies

• 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

Measures of Success

Success in this role may be measured by:

• Accuracy and completeness of safety and account data.
• Timeliness of dashboards and recurring reports.
• Reduction in manual reporting work and data errors.
• Quality and usefulness of insights provided to Safety and Operations leaders.
• Consistency of definitions and reporting standards…