Senior Analytics Engineer

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About This Role

Fleetio seeks a Senior Analytics Engineer to join its data and analytics team on a remote basis. Fleetio offers a modern software platform utilized globally for managing fleet operations, having raised $450 million in Series D funding in March 2025 and serving as a founding member of the Rails Foundation. This position is suited for professionals with a background in analytics engineering, data engineering, data science, or analytics. The ideal…

Job Description

Responsibilities

• Identify and propose high-value opportunities where automation, analytics, and data can enhance business results.
• Manage projects through their complete lifecycle, from initial problem definition to execution, adoption, and impact measurement.
• Collaborate directly with stakeholders to understand objectives, question assumptions, and shape solutions for complex problems.
• Develop scalable, production-quality data models utilizing dbt.
• Design reusable data foundations and semantic-layer capabilities to support business intelligence, operational workflows, machine learning, and artificial intelligence.
• Enhance data consistency, quality, and usability via robust modeling, documentation, testing, and metric governance.
• Contribute to raising the team's analytical and technical standards through thoughtful design and knowledge sharing.

Requirements

• Possess 5 to 7 years of experience solving complex business problems using data within analytics engineering, data science, data engineering, or similar roles.
• Demonstrate a track record of independently identifying opportunities and managing projects from inception to delivery and adoption.
• Bring experience partnering directly with business stakeholders and influencing solution approaches.
• Display advanced SQL capabilities alongside proficiency in Python.
• Have extensive background with dbt and Snowflake for building clean, reusable data models supporting self-service analytics.
• Show experience governing and creating dashboards inside business intelligence platforms.
• Demonstrate experience designing or working with semantic layers and governed metric definitions.

Qualifications

• Familiarity with machine learning and predictive modeling concepts.
• Experience utilizing reverse ETL and data activation.
• Experience with front-end development and the creation of user-facing applications.

Core Skills

Benefits

• Multiple health and dental coverage choices with 100% coverage for the employee and 50% for family.
• Vision insurance.
• Incentive stock options.
• 401(k) matching at 4%.
• Paid time off starting at 4 weeks and increasing at year two.
• 12 company holidays plus 2 floating holidays.
• Paid parental leave providing 16 weeks for the birthing parent and 4 weeks for the non-birthing parent.
• FSA and HSA options.
• Short-term and long-term disability insurance, with short-term 100% paid.
• Community service funds.
• Professional development funds.
• Quarterly wellbeing fund of $150.
• Quarterly business expense stipend of $125.
• Mac laptop and new hire equipment stipend.

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