Who you are

- We are looking for someone who is passionate about data and enjoys solving business problems through thoughtful, scalable data solutions

- You thrive in a collaborative, fast-paced environment and are excited to partner with technical and non-technical stakeholders to make data more accessible, trustworthy, and actionable

- You are curious, detail-oriented, and continuously looking for ways to improve how data is modelled, governed, and consumed. You enjoy learning new technologies—including AI-powered development tools—and applying them to improve productivity and deliver better outcomes

- 2–4 years of experience in analytics engineering or data modeling, ideally in SaaS, building and maintaining production data models from raw source data across multiple systems

- Deep SQL skills and hands-on experience working directly in databases and data warehouses, with Python or a similar language an asset. This role is focused on the backend modeling layer rather than visualization or dashboard building

- Solid understanding of dimensional modeling and data warehousing concepts, with familiarity working in cloud data warehouses (e.g., Databricks, Redshift, or Snowflake)

- Experience building data models with dbt or a similar transformation framework is an asset, though not required if you bring strong SQL and database fundamentals

- Ability to translate business requirements into reusable data models and collaborate effectively with technical and non-technical stakeholders

- Fluency working with AI-powered development tools—such as VS Code, Claude Code, and similar assistants—and the ability to apply skills, agents, and automation to accelerate data modeling work

- Experience with Looker or other up-to-date BI platforms





- Experience implementing data quality testing and monitoring frameworks

- Experience supporting self-service analytics

- Experience working with AI-assisted development tools such as GitHub Copilot, Cursor, or similar technologies

- Exposure to building data products that support machine learning or generative AI applications

What the job involves

- We are currently seeking a Data Modeller to join our Business Operations Team. This role is available to applicants based in Vancouver, Calgary, or Toronto

- Our Data Modelling team is part of the broader Data Insights Team. We build trusted, scalable data products that empower teams across Clio to make informed decisions. By transforming complex data into reusable, well-governed models, we enable self-service analytics, operational reporting, product insights, and emerging AI initiatives

- Esign, build, and maintain scalable data models: Transform raw and complex data into well-tested, reusable data models using dbt (or similar tools) that support analytics, dashboards, operational reporting, self-service analytics, and AI-ready data products

- Partner with stakeholders and communicate clearly: Collaborate with Product, Revenue Operations, Finance, Data Engineering, and business stakeholders to translate business questions into trusted datasets,



and present technical concepts and findings in a way that is clear and actionable for both technical and non-technical audiences

- Ensure data quality and reliability: Develop automated tests, monitoring, and validation to ensure data freshness, schema stability, and logic accuracy, and to proactively resolve data quality issues

- Promote data modeling best practices: Contribute to standards, documentation, and governance that improve consistency, scalability, and long-term maintainability across the analytics ecosystem

- Leverage AI to improve productivity: Use AI-powered development tools and assistants to accelerate data modeling, improve code quality, and contribute to AI-ready data pipelines and workflows

Benefits

- Specialized learning and development programs and access to an in-house performance coach

- Equitable compensation for your contributions, regardless of gender, race, or any other identifying factor

- Access to pay transparency on all of our global roles

- Company equity for applicable employees

- RRSP-matching in Canada, 401k in the US, and pension plans in Ireland

- Hybrid model – striking the right balance between the benefits of in person connectivity that in office brings, and the flexibility of remote

- Flexible paid time off (4-week minimum with opportunities for personalization based on individual needs and achievements)

- Parental leave options for birthing and non-birthing parents
- A $500 contribution to your child’s RESP

- Various health, dental, and vision benefits for you and your family, including an Employee and Family Assistance Program

- Virtual and In-person Wellness Programs to support mental and physical health

- Paid time for volunteering through our Clio Gives program

- $2000 annual counseling benefit for CAD Clions

📌 Data Modeller (Vancouver)
🏢 Clio
📍 Vancouver