Senior Analytics Engineer - Auto Integrate
FleetioRemote - USA, CAN, MEXPosted 26 March 2026
Job Description
A little about us…Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we’re leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud founding member of the Rails Foundation !
More about our team and company:
Fleetio overview video: https://www.youtube.com/watch?v=YoXyXTFWbkg
Our careers page: https://www.fleetio.com/careers
About Fleetio Auto Integrate
Fleetio is a modern fleet operations platform used by thousands of organizations worldwide to manage vehicles, equipment, and drivers. Auto Integrate, acquired by Fleetio in 2025, is a leading global maintenance authorization network that supports fleets that outsource their service, maintenance, and repair needs. The business is managed by a small, global team within Fleetio, combining the resources of a scaled SaaS company with the agility of a niche market leader.
Description
We are looking for a Senior Analytics Engineer to play a foundational role in building Auto Integrates’ internal analytics infrastructure. In this role, you will design and implement the systems that power reporting, operational visibility, and product analytics across the organization.
You will focus primarily on building and scaling our internal data platform from the ground up. In close partnership with Product Engineering, you will also help integrate analytics directly into the platform — enabling data-driven features, reporting, and insights for our customers.
You will collaborate closely with leadership, engineering, and other internal stakeholders to ensure data aligns with business needs and supports strategic objectives. This is an opportunity to shape the foundation of Auto Integrate's analytics ecosystem, where data plays a central role in how we operate, how we grow, and how we deliver value to customers.
This position will require experience in building a data platform from the ground up, enabling the team to access analytics in ways they have not before. If you are more interested in building upon and improving an existing data platform, check out our other Senior Analytics Engineer job posting: https://job-boards.greenhouse.io/fleetio/jobs/5054939007 .
Who you are
The ideal candidate for this role is a business-savvy senior-level analytics engineer with experience in building and owning complex analytics platforms and working closely with stakeholders. You’re comfortable starting from a relatively open landscape and defining scalable architecture, modeling standards, and best practices. You have a deep understanding of data modeling, data transformation, and data warehousing on modern data platforms. Your experience goes beyond just data engineering; you have a strong foundation in analytics and have worked closely with customer-facing products. You bring strong but adaptable opinions on design patterns, architecture, and data modeling, and you are passionate about solving business challenges by delivering scalable, data-driven solutions. You have a knack for translating ambiguous business questions into clear, actionable data insights and incrementally deliver impactful results. Product-minded and team-oriented, you actively listen to others’ perspectives and educate on best practices. Excellent communication, especially written, is one of your strengths.
Your impact
Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions.
Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and home-grown solutions
Maintain and optimize the data platform infrastructure, focusing on ... (truncated, view full listing at source)
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