Data Architect and Lead Analytics Engineer

3 days ago

Melbourne, Victoria, Australia beBeeAnalytics Full time $180,000 - $200,000
Lead Analytics Engineer Role Overview

As a key player in our analytics team, you will be responsible for designing and implementing data models and infrastructure that power decision-making, experimentation, and insight across the organization.

The ideal candidate will have a strong background in analytics engineering, experience with cloud data warehouses, and excellent collaboration and communication skills. They will also be hands-on and able to work at the intersection of data modeling, platform engineering, and business enablement.

Key Responsibilities:
  • Architect and maintain high-quality, scalable analytics data models using dbt in BigQuery.
  • Lead the implementation and strategic buildout of Looker and the semantic layer, while driving end-to-end metrics standardization from data models to dashboards.
  • Own the ingestion, modelling, and reliability of clickstream data (e.g., Snowplow).
  • Collaborate with Data Platform and Engineering to optimise data pipelines and reduce latency or duplication.
  • Partner with Data Science to develop reusable, production-grade datasets that support experimentation.
  • Build and maintain CI/CD pipelines, testing coverage, and documentation for analytics codebases.
  • Monitor and optimise query performance for cost and responsiveness.
Requirements:
  • 5+ years in Analytics Engineering or BI Engineering, with strong individual contributor impact.
  • Expert in SQL, dbt, and cloud data warehouses—ideally BigQuery.
  • Experience working with clickstream data sources, especially Snowplow.
  • Proven success implementing and managing Looker, including semantic layer design.
  • Strong understanding of ELT architecture, data quality frameworks, and orchestration tools like Airflow.
  • Excellent collaboration and communication skills across technical teams.
Benefits:
  • Opportunity to innovate and make a significant impact on travellers' journeys.
  • Flexible work setup with great work-life balance.
  • Access to knowledge-sharing, mentorship, and leadership opportunities.
  • A supportive and inclusive team environment.

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