Analytics Engineer

• Identify and pitch high-value opportunities where data, analytics, or automation can improve business outcomes
• Own projects end-to-end, from problem definition through implementation, adoption, and impact measurement
• Partner directly with stakeholders to understand goals, challenge assumptions, and shape solutions to ambiguous problems
• Build scalable, production-quality data models in dbt
• Design reusable data foundations and semantic-layer capabilities supporting BI, operational workflows, ML, and AI use cases
• Improve data quality, consistency, and usability through modeling, testing, documentation, and metric governance
• Help raise the team’s technical and analytical bar through thoughtful design and knowledge sharing
• Potentially build canonical data models, improve the semantic layer, create dashboards and self-service analytics, develop predictive models, activate data in operational workflows, and prototype AI agents

Explore Senior Analytics Engineer at Fleetio. Review requirements and application details.

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