Full-Time Senior Analytics Engineer

The Senior Analytics Engineer will play a crucial role in designing and developing robust data products and analytics solutions of scalable data infrastructure for capturing, storing, and processing data related to medical cannabis therapies. As a Senior Analytics Engineer, you will work closely with the Analytics Engineering team, collaborating on projects, optimising the Business Intelligence (BI) platform, and ensuring data quality and governance. 
  

Day to day:

• Lead the design, develop, and maintain scalable and reliable data infrastructure for capturing, storing, and processing data related to medical cannabis therapies.
• Provide leadership and mentorship to the Analytics Engineering team, fostering a collaborative environment and enhancing team skills.
• Manage projects, ensuring they are delivered on time and within scope.
• Oversee the Business Intelligence (BI) platform, optimising its efficiency, scalability, and security.
• Collaborate with stakeholders, enforce data quality and governance, assess and implement new technologies,
   and monitor analytics solution performance for continuous improvement.
• Implement and optimise data pipelines to ensure efficient and accurate transformation.
• Develop and maintain data models/products that support advanced analytics and reporting requirements.
• Continuously optimise data processes and workflows to improve efficiency, scalability, and reliability.
• Perform data analysis and profiling to identify data quality issues, inconsistencies, and gaps.
• Collaborate with analysts, and stakeholders to define analytics requirements and develop analytical solutions.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
• Proven experience in analytics engineering and project collaboration
• Strong programming skills in languages such as Python and SQL
• Extensive experience with dbt 
• Experience with data warehouse technologies (e.g., Redshift, BigQuery)
• Proficiency in building and optimising ETL/ELT pipelines
• Solid understanding of data modelling concepts and database technologies (e.g., relational, dimensional, NoSQL)
• Expertise in data modelling, data pipeline development, and BI platforms
• Familiarity with cloud-based technologies and scalable data infrastructure
• Experience with data visualisation tools (e.g., Looker, Tableau) is desirable.
• Gaining access to SAGED courses and more through the Greenhouse learning platform, fostering continuous growth and development.
• Enjoying discounts with over 450 retailers through our Reward and Recognition platform.
• The freedom of a full-time, work-from-home role.
• Access to co-working spaces in Sydney, Melbourne, Brisbane, and select regional cities.
• Mental health support through our wellbeing platform, Unmind.
• A private health insurance discount through Medibank.
• Up to 8 weeks of paid parental leave.
• Swag kits to celebrate key milestones in your journey with us.
• Enhancing your home office with our ergonomic equipment reimbursement benefit.
• Being part of one of the fastest-growing industries in Australia, improving the lives of hundreds of thousands of patients.