Remote Analytics Engineer

Summary

Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.

Requirements

• Expertise in dbt & SQL: Deep experience with dbt and SQL to design, build, and maintain scalable data models
• Cloud Technology Knowledge: Strong familiarity with cloud platforms like AWS, GCP etc
• Data Accuracy Focus: Passion for ensuring high data quality through tests/assertions and robust documentation
• Commercial Acumen: Ability to understand business needs and communicate effectively with non-technical stakeholders
• Mentorship Ability: Advocate for best practices in logging and data modeling that supports robust and effective analysis, reporting , and experimentation
• Collaboration: Skilled at working cross-functionally and translating complex technical concepts into actionable insights for the business
• Process-Driven: Proficiency in designing repeatable and scalable workflows for data transformation

Responsibilities

• Building Data Models: Create complex dbt models, custom macros, and reusable packages
• Ownership: Monitoring and maintaining dbt workflow jobs, ensuring smooth data refreshes and up-to-date pipelines
• Ensuring Data Accuracy: Writing tests and assertions to validate data integrity and consistency across models
• Documenting and Standardizing: Creating and maintaining thorough documentation of dbt processes to ensure best practices within the BI team
• Translating Complex Data Concepts: Acting as a key communicator, translating technical data issues into understandable business terms for stakeholders
• Mentoring Team Members: Supporting junior analysts and data engineers, especially in setting up experimentation platforms and data best practices
• Collaborating Across Teams: Working closely with the product, engineering, and BI teams to ensure data infrastructure supports evolving business needs