Senior Data Analyst, Operations

The role

The Senior Data Analyst, Operations will own and evolve the metrics, dashboards, and analytical foundations used to understand and operate Waabi's fleet. The role covers fleet performance, utilization, uptime, operational readiness, and commercial reporting.

What you will do

• Define, implement, track, and improve core operational metrics for fleet performance, efficiency, utilization, uptime, and readiness.
• Build and maintain data pipelines, analytical datasets, data models, and automated workflows from multiple operational sources, partnering with Data Platform.
• Build and standardize dashboards and recurring reporting, converting manual tracking into automated workflows.
• Analyze productivity, delays, downtime, and other inefficiencies to find trends, root causes, and improvement opportunities.
• Proactively propose new metrics, dashboards, and analyses based on what the data shows.
• Quantify the impact of operational issues on lost hours, miles, and missions.
• Build structured tracking across pre-mission, in-mission, and post-mission performance.
• Support internal and external reporting for commercial operations and demos, including completion rates, cancellations, and execution quality.
• Identify data gaps, quality issues, and inconsistencies across systems, and recommend scalable fixes.
• Partner with Ops, Commercial, Data Platform, and other stakeholders to turn data into actionable insight.

Required qualifications

• Bachelor's degree in Data, Statistics, Computer Science, Engineering, or a related field, or equivalent practical experience.
• 3-5 years of experience in a dedicated data analyst, analytics, or business intelligence role.
• Strong SQL skills and experience with relational datasets.
• Experience with Python or R for analysis; pandas preferred.
• Familiarity with dbt and modern analytics workflows.
• Experience cleaning, validating, reconciling, and analyzing data from multiple sources.
• Experience building dashboards and recurring reports with BI tools.
• Strong statistical literacy, including significance testing, regression analysis, and distribution analysis.
• Strong problem-solving skills and business judgment.
• Strong communication skills for operational and leadership audiences.

Nice to have

• Experience with operations, logistics, fleet, transportation, or other operationally complex datasets, including customer-facing or commercial reporting.
• Experience with cloud data warehouses, ETL or API-based ingestion, workflow automation, operational systems, and evaluating or adopting new analytical or AI-assisted tools.

Benefits

• Competitive compensation and equity awards.
• Medical, dental, and vision coverage.
• Paid parental, medical, and family care leave.
• Generous PTO policy.
• 401(k) or RRSP retirement savings options.
• Health savings account contribution options.
• Daily drinks, snacks, and catered meals when in office.
• Regular team building activities and social events on-site, off-site, and virtually.
• Additional benefits tailored to specific country locations.

Before you apply

• Waabi is an equal opportunity employer and makes accommodations for qualified individuals with disabilities on request.

About the company

Waabi, founded by Raquel Urtasun, is a Physical AI company building technology for commercial autonomous trucks and robotaxis. It is backed by and partners with AI, automotive, logistics, and deep tech leaders.