Business Intelligence Engineer

Adelaide

11h•$80,000 - $100,000•Remote

About The Position

This position reports to the Senior Data Analytics Engineer; it will behave cross functionally across Data teams with an emphasis on supporting the Analytics team and their workflows. In this role, you will be joining a team of data scientists and engineers. You'll help build and maintain the semantic layer of our data pipeline, ensuring clean, consistent, and reusable data models. Day-to-day activities range from developing and testing data models, editing LookML, managing a data catalog, automating data analysis workflows, and working closely with stakeholders to understand and support their data needs. We’re seeking a candidate with 0-2 years of experience in analytics, data engineering, or a related field, and a passion for building clean, reliable data systems. This is a fully remote position within the United States, with opportunities to connect with colleagues at our New York office. You will need to be in NYC a few times per year.

Requirements

SQL Proficiency - Strong ability to write, optimize, and debug SQL queries. You understand data modeling and warehouse best practices and are committed to writing clean, readable, and well-documented code.
BI & Visualization Tools - Hands-on experience with BI/dashboarding platforms (e.g. Looker, Tableau) and familiarity with building or supporting a semantic layer for reporting.
Data Modeling Tools - Experience building SQL-based data models in a data warehouse environment. Familiarity with semantic modeling tools (e.g. LookML) and exposure to transformation frameworks such as dbt is a plus. Understanding of ETL/ELT concepts is expected.
Data Quality & Testing - Strong attention to detail in building data validation checks, profiling routines, and root cause analysis workflows to ensure reliable reporting data.
Communication & Collaboration - Excellent interpersonal skills with experience working cross-functionally. Ability to translate technical concepts for non-technical audiences and help support adoption of data tools.
Educational Background & Experience - Bachelor’s degree in a quantitative, technical, or analytical field (e.g. Computer Science, Math, Physics, Engineering) or a rigorous coding bootcamp with a portfolio demonstrating the above skills.

Nice To Haves

A Creative Problem Solver - Approaches problems with an open mind finding innovative solutions to data wrangling, transformation, and analytics that drive real business impact
Comfortable with ambiguity - You’re at ease with incomplete requirements or changing stakeholder needs, and you excel at asking the right questions to find solutions
Relevant Tech Stack Experience - Familiarity with tools like Looker, Redshift, S3, and dbt

Responsibilities

Contribute to maintaining a well-organized data catalog with accurate, accessible metadata for both technical and non-technical audiences
Build, test, and maintain SQL-based data models in the data warehouse (Redshift) to support reporting and analytics
Help create and manage a clean, reliable reporting and semantic layer in Looker using LookML, ensuring business logic and metrics are clearly defined and reusable across dashboards
Work cross functionally across Account Managers, Customer Success, and Analytics to support reporting needs and improve data accessibility
Monitor data adoption and identify opportunities to improve data usability and self-service analytics