[Hiring] Senior Analytics Engineer @Fleetio

Role Description

We are looking for a Senior Analytics Engineer to join our data and analytics team to help us shape the future of our data platform and product. We’re open to candidates from analytics engineering, data engineering, data science, analytics, or similar backgrounds. What matters most is your ability to connect technical solutions to business impact, work through ambiguity, and drive projects from idea through implementation and adoption.

As our data function matures, our highest-value opportunities sit at the intersection of analytics, data science, AI, and data activation. This role is designed for someone who can:

• Understand the business problem and determine the right approach in collaboration with business stakeholders.
• Build scalable solutions.
• Become a trusted owner of important problem areas and independently move work from idea to impact.

Your impact will include:

• Identifying and pitching high-value opportunities where data, analytics, or automation can improve business outcomes.
• Owning projects end-to-end, from problem definition through implementation, adoption, and impact measurement.
• Partnering directly with stakeholders to understand their goals, challenge assumptions, and shape solutions to ambiguous problems.
• Building scalable, production-quality data models in dbt.
• Designing reusable data foundations and semantic-layer capabilities that support BI, operational workflows, ML, and AI use cases.
• Improving data quality, consistency, and usability through strong modeling, testing, documentation, and metric governance.
• Helping raise the team's technical and analytical bar through thoughtful design and knowledge sharing.

Qualifications

• 5-7 years of experience solving complex business problems with data in analytics engineering, data engineering, data science, analytics, or a similar role.
• A track record of independently identifying opportunities and owning projects from idea through delivery and adoption.
• Experience partnering directly with business stakeholders and influencing both what should be built and how problems should be approached.
• Excellent SQL skills and proficiency with Python.
• Extensive experience with dbt and Snowflake, including building clean, reusable data models that enable self-service analytics and scalable insights.
• Experience governing and building dashboards in business intelligence tools.
• Experience designing or working with semantic layers and governed metric definitions.

Considered a plus

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

Benefits

• Multiple health/dental coverage options (100% coverage for employee, 50% for family)
• Vision insurance
• Incentive stock options
• 401(k) match of 4%
• PTO - 4 weeks (increases at year two!)
• 12 company holidays + 2 floating holidays
• Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid)
• FSA & HSA options
• Short and long term disability (short term 100% paid)
• Community service funds
• Professional development funds
• Wellbeing fund - $150 quarterly
• Business expense stipend - $125 quarterly
• Mac laptop + new hire equipment stipend
• Fully stocked kitchen with tons of drinks & snacks (BHM only)
• Remote working friendly since 2012 #LI-Remote