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Data Analyst at Canals | United States

CanalsUnited States
Remote Full-time

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Experience Level

Experience

Qualifications

QualificationsProduction SQL experience (Snowflake, BigQuery, Redshift or similar). Solid dbt experience, including models, tests, macros, CI practices, and modular modeling patterns. Track record of transforming one-off analyses into reusable data models. Comfort with Python for data tasks, Git-based workflows, and CI pipelines. Strong understanding of data lineage, monitoring, and testing best practices.

About the job

About Canals

Canals is a pioneering remote startup revolutionizing the industrial supply chain, a staggering $10 trillion industry, through cutting-edge AI technology. Our innovative platform integrates seamlessly with existing distributor systems, automating monotonous tasks and minimizing failure points in the global movement of physical goods.

With a diverse team of 70 talented individuals, including approximately 45 engineers, we are spread across North and South America, fostering a collaborative and dynamic work environment.

The Role

We are looking for a skilled Data Analyst to join our team. This position emphasizes a platform-first approach, moving beyond basic team reporting. You will play a vital role in transforming ad-hoc business inquiries into scalable, production-ready data models. These foundational assets will serve as essential resources for the entire organization.

Collaboration with business stakeholders is crucial for successful project outcomes; however, your primary responsibility will be the data warehouse, ensuring data accuracy, visibility, and usability for all teams.

What You’ll Do

  • Take ownership of key business metrics throughout their lifecycle: design, implement, test, document, and maintain them using dbt and Snowflake.

  • Transform ad-hoc analyses into durable, reusable data warehouse artifacts instead of temporary dashboard fixes.

  • Set up and maintain automated data tests, monitors, and lineage; ensure integration into CI processes.

  • Diagnose ingestion and transformation challenges, providing upstream solutions (dbt/Snowflake) instead of implementing stopgap measures.

  • Work closely with other teams to guarantee that data is efficient, stable, and production-ready for modeling.

  • Assist product and commercial teams by delivering insightful analysis and recommendations.

  • Enhance self-service documentation, tools, and onboarding processes to enable others to utilize the warehouse independently.

  • Highlight platform roadmap initiatives: identify recurring needs that should evolve into new marts, schemas, or pipelines.

What You'll Bring

  • Demonstrated experience in production SQL (Snowflake, BigQuery, Redshift, or similar).

  • Robust experience with dbt: models, tests, macros, CI practices, and modular modeling techniques.

  • A proven history of converting one-off analyses into reusable data models.

  • Familiarity with Python for data-related tasks, Git workflows, and CI pipelines.

  • Strong grasp of data lineage, monitoring, and testing best practices.

About Canals

At Canals, we are dedicated to reshaping the industrial supply chain with advanced AI solutions. Our fully remote and profitable startup is designed to streamline operations for distributors, making us a vital player in a $10T industry. Our team is spread across North and South America, fostering a culture of innovation and collaboration.

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