Senior Data Analyst, Operations
Dallas, TXAll locationsDallas, TXToronto, ONPhoenix, AZ Hybrid
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About the role
As a member of Waabi's Operations organization, the Senior Data Analyst will own and evolve the metrics, dashboards, and analytical foundations used to understand and operate the fleet. This role is critical to ensuring our operational data is accurate, consistent, and actionable across fleet performance, utilization, uptime, operational readiness, and commercial reporting. We need someone who will take initiative, live and breathe the data, and come forward with ideas on what metrics to explore, what patterns matter, and where operational performance can improve. This role is not just about reporting on the business, it is about helping shape how the business operates through data-backed insight. You will…
What you'll bring
- Partner closely with Ops, Commercial, Data Platform, and other stakeholders to clarify requirements and deliver actionable insight.
- 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 working with relational datasets, plus experience with Python or R for analysis
- Familiarity with dbt (data build tool) and modern analytics workflows for modeling and transforming data.
- Experience cleaning, validating, reconciling, and analyzing data from multiple sources.
- Experience building dashboards and recurring reports using BI tools, with the ability to quickly adopt new analytics and AI-assisted tools and workflows.
- Strong statistical literacy, with demonstrated ability to apply methods like significance testing, regression analysis, and distribution analysis in order to identify the true drivers of performance.
- Strong problem-solving skills, sound business judgment, and the ability to independently turn ambiguous questions into structured analysis, surface insights, and make recommendations.
- Strong communication skills and the ability to translate data into clear takeaways for operational and leadership audiences.
- Experience working with operations, logistics, fleet, transportation, or other operationally complex datasets, including customer-facing or commercial reporting.
- Experience with modern analytics and operational tooling, including cloud data warehouses, ETL or API-based ingestion, workflow automation, operational systems, and evaluation or adoption of new analytical or AI-assisted tools.