Own operational metrics and dashboards at Waabi, using strong SQL and analytical judgment. Work across fleet data to improve measurable performance.
As a Senior Data Analyst in Operations, you will shape analytical foundations for fleet performance, utilization, uptime, readiness, and commercial reporting. The position requires SQL, Python or R, and experience cleaning, validating, and analyzing data from multiple sources. You will also apply statistical methods to identify performance drivers.
Key Responsibilities:
- Define and continuously improve core operational fleet metrics
- Build datasets, models, pipelines, and automated workflows
- Standardize dashboards and recurring operations reporting
- Analyze delays, downtime, productivity, and root causes
- Partner with stakeholders to deliver actionable insights
Requirements:
- Bachelor's degree or equivalent practical experience
- Three to five years in analytics or business intelligence
- Strong SQL with relational dataset experience
- Python or R experience, with pandas preferred
- Statistical literacy including regression and significance testing
Bring SQL, statistical analysis, and operational insight to Waabi's fleet performance and reporting foundations.
Senior Operations Data Analyst in Toronto employer: Waabi
Waabi is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior / Staff ML Ops Engineers to thrive. With competitive compensation, unlimited vacation, and a commitment to employee wellness, Waabi supports a work-life balance while providing opportunities for professional growth in the rapidly evolving field of autonomous transportation. Located in Toronto, employees benefit from a vibrant tech community and access to cutting-edge resources, all while contributing to meaningful advancements in AI technology.
