Business Operations Co-op, Clio

• Enrolled in a degree program in Computer Science, Data Science, Statistics, Engineering, or a related field
• Solid SQL skills — comfortable writing queries with JOINs, aggregations, and CTEs
• Familiarity with at least one programming or scripting language (Python preferred)
• Ability to work independently, ask good questions, and communicate clearly with teammates
• Genuine interest in how data is structured and how it powers business decisions

Desirable

• Clio is looking for a Data Modeling Co-op to join our Data Insights team for an 8-month term. You will work alongside senior analytics engineers to build and maintain the data models that power Clio’s business intelligence, reporting, and data products
• This is a hands-on role — you will write real dbt models, contribute to our production data warehouse, and collaborate directly with business stakeholders
• This role is ideal for a student who is curious about how data powers business decisions and wants to go beyond dashboards to understand the engineering underneath
• Build and maintain dbt models that transform raw source data into clean, tested, and well-documented datasets for downstream use by analysts, BI tools, and business stakeholders
• Write and optimize SQL queries to answer business questions and support ad hoc data requests
• Contribute to data quality by writing dbt tests and helping monitor data freshness and accuracy
• Partner with team members across Data Engineering, BI, and business units to understand requirements and translate them into data models
• Help document data assets — model descriptions, column-level metadata, and business definitions — to support self-service analytics
• Participate in code reviews and apply software engineering best practices (Git, pull requests, CI/CD) to data work
• Support ongoing projects across areas like revenue modeling, product usage analytics, or go-to-market data pipelines, depending on team priorities during your term
• What You’ll Learn
• How to build production-grade data models using dbt in a real enterprise environment
• How analytics engineering bridges the gap between raw data and business intelligence
• Best practices in data testing, documentation, and governance
• How to work with cross-functional stakeholders to translate business questions into data requirements
• How a high-growth SaaS company uses data to drive decisions across revenue, product, and go-to-market
• You’ll join the Data Insights team within Clio’s Business Operations organization. The team owns Clio’s core data models, semantic layer, and business metrics — the foundational data infrastructure used by every part of the business
• We care deeply about code quality, documentation, and making data trustworthy and accessible. You’ll be supported by experienced data modelers and have a clear mandate to contribute real work from day one
• Duration: 8 months, from Sept 2026-Apr 2027 (co-op)

• End Date: July 10, 2026