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.

Requirements

• 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.

Additional information

You’ll be joining a highly motivated, agile team where your ideas and work will directly influence the direction and progress of an expanding global company in a hyper-growth phase. We pride ourselves on our collaborative and driven culture and offer opportunities for advancement to high achievers.Other benefits include:

• 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.

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We are committed to facilitating a barrier-free recruitment process and work environment. If you require any accommodations, we welcome you to let us know so we can work with you to participate fully in our recruitment experience.