Full-Time

Senior Analytics Engineer

Updated on 9/10/2026

Dispensed

Dispensed

No salary listed

Remote in Australia

Remote

Category
Data & Analytics (1)
Required Skills
Python
R
BigQuery
SQL
A/B Testing
Tableau
Data Modeling
Data Governance
Looker
Data Analysis
Snowflake
Requirements
  • 6+ years in analytics, analytics engineering or a related data role.
  • Advanced SQL and experience working with large, complex datasets.
  • Strong experience building scalable, reliable data models and analytics datasets.
  • Ability to solve ambiguous, high-impact problems and own projects end-to-end.
  • Strong stakeholder management and ability to influence senior audiences.
  • Experience with data quality, testing, documentation and governance.
  • Clear communication skills and ability to translate data into actionable business outcomes.
Responsibilities
  • Design, build and maintain scalable data models and transformation pipelines in dbt and BigQuery, including pipeline orchestration and scheduling, to support reporting, experimentation and self-service analytics across the business.
  • Lead end-to-end delivery of complex data initiatives, from understanding business requirements through to designing data models, building pipelines, validating outputs and delivering insights.
  • Partner with Product, Clinical, Commercial and Engineering teams to understand the decisions they are trying to make, challenge assumptions where appropriate, and translate business problems into robust analytical solutions.
  • Design and review the data models and measurement frameworks required for A/B tests, pilots and new product initiatives, ensuring experiments are measurable, statistically sound and actionable.
  • Identify and resolve systemic data quality, modelling and pipeline issues, implementing testing, monitoring and documentation that improves trust in the data platform.
  • Develop semantic models and metrics that provide consistent definitions across the business and reduce duplicated analytical effort.
  • Communicate complex technical and analytical findings to senior and non-technical stakeholders, clearly explaining recommendations, trade-offs, limitations and uncertainty.
  • Mentor analysts and engineers on SQL, dbt, BigQuery, data modelling and analytical best practices while contributing to shared standards, documentation and code review.
  • Proactively identify the highest-value opportunities for improving Dispensed's data platform and analytical capability, ensuring work aligns with strategic priorities across all markets.
Desired Qualifications
  • Experience in healthcare or regulated environments.
  • Experience partnering with Product, Clinical, Commercial or Operations teams.
  • Experience with dbt and modern data warehouses such as Snowflake or BigQuery.
  • Proficiency with Python/R and BI tools such as Looker or Tableau.
  • Experience with experimentation and A/B testing.

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