Analytics Engineer

We’re looking for an Analytics Engineer I to join our data team and work across the full data lifecycle—helping transform raw data into meaningful, reliable data models and dashboards that support insights around driver safety, training effectiveness, and fleet performance
.

This is a hybrid analytics + data engineering role
, blending foundational data engineering work with hands‑on analytics. You’ll spend time building and maintaining transformation layers, ensuring data reliability, and partnering with internal teams to answer product, business and research questions using data.

This role is designed as an entry‑level position
, with mentorship, documentation, and opportunities to grow deeper technical and business expertise over time.

• Assemble, explore, clean, and structure raw data for analysis and reporting
• Build and maintain data transformation models (e.g., dbt) that support analytics and dashboards
• Create and optimize data models that power BI dashboards and internal reporting
• Support the ingestion and analysis of telematics and fleet‑related data, including:
  • Training completion and learning data
  • Crash and incident records
• Work closely with analysts, product, and engineering teams to translate business questions into data solutions
• Identify, flag, and help resolve data quality issues; assist in establishing data quality standards and documentation
• Create and maintain documentation for data models, definitions, assumptions, and transformations
• Support ad‑hoc analytics requests from internal stakeholders and deliver accurate, timely insights
• Write and maintain clean, performant SQL and Python code that aligns with team standards
• Develop a strong understanding of fleet operations, driver safety concepts, and Smith System’s products and customers

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline
• Strong foundational SQL skills, including writing complex queries and understanding relational data models
• Python experience for data manipulation, analysis, or automation
• Experience with or strong interest in analytics engineering tools
• Familiarity with data visualization or BI tools (Looker or Omni preferred)
• Ability to analyze data, ask thoughtful questions, and understand the “why” behind trends—not just the numbers
• Strong written and verbal communication skills, with the ability to explain insights to both technical and non‑technical audiences
• Ability to manage multiple tasks, prioritize effectively, and work collaboratively in a team environment

This role does not require prior professional analytics engineering experience at scale—relevant internships, coursework, bootcamps, or early‑career experience are welcome.

• Opportunity to work on data that directly impacts driver safety and real‑world outcomes
• Entry‑level role with room for technical and career growth
• Collaborative, mission‑driven culture aligned with Smith System’s safety mission
• Exposure to modern analytics engineering tools, real‑world datasets, and cross‑functional teams