Analytics Engineer Intern

Cambridge Mobile Telematics • Cambridge, MA

1d • Onsite

About The Position

As an Analytics Engineer Intern, you will work alongside CMT's IoT and Data Engineering teams to build scalable data pipelines, design clean data models, and deliver self-service analytics that power real decisions. At CMT, AI is not a buzzword — it is how we work. You will use AI tools throughout your day-to-day, from accelerating pipeline development to enabling AI assistants that let stakeholders query and interpret data in plain language. Your work will directly support IoT Operations and Product Analytics teams as they monitor device health and understand driver behavior across millions of vehicles every day. CMT is looking for a collaborative, AI-curious, and technically sharp Analytics Engineer Intern who wants to join us in making roads safer by making drivers better!

Requirements

• Currently pursuing a Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field
• Strong proficiency in SQL; experience with Python is a plus
• Familiarity with data warehousing or cloud data platforms (e.g., Databricks, Redshift, BigQuery, or Snowflake)
• Exposure to data transformation tools (e.g., dbt) or big data frameworks (e.g., Spark) is a plus
• Experience with data visualization tools (e.g., Tableau) is a plus
• AI-curious mindset — excited about using AI tools to work faster and smarter, and comfortable experimenting with LLM-powered workflows in a professional environment
• Ability to work independently and communicate findings clearly to both technical and non-technical audiences

Responsibilities

• Design and build data pipelines to ingest, transform, and model telematics and IoT device data at scale
• Develop and maintain data models using SQL and tools such as dbt or Spark to support analytics use cases
• Create dashboards and self-service reporting for IoT Operations and Product Analytics stakeholders
• Collaborate with engineers and product managers to define KPIs, metrics, and data requirements
• Investigate data quality issues and implement validation checks to ensure reliable outputs
• Leverage AI coding assistants (e.g., Cursor, Claude Code) to accelerate pipeline development, code review, and debugging
• Structure and document data models so they are interpretable by AI assistants, enabling stakeholders to query device and driver data in natural language
• Document data assets, transformation logic, and analytical methodologies
• Complete any additional tasks as they arise

Benefits

• Fair and competitive hourly rate based on education level
• Flexible scheduling options depending on role and responsibilities
• Feel great working to improve road safety around the world!
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

What This Job Offers

• Career Level: Intern
• Number of Employees: 101-250 employees