Senior Analytics Engineer

Company Description

About Montu

Montu is Australia’s largest medical cannabis company. With operations in Australia and Europe, we take a technology-first approach to improving the medical cannabis patient experience – whether it’s by delivering best-in-class online clinical care, or through our industry-leading product lines and innovative supply chain management tools.

Montu operates a fully integrated, end-to-end ecosystem of healthcare companies that touches every part of the medical cannabis experience, from patient care through to pharmacy dispensing, clinical education, product development, wholesale distribution and more. 

Recognised by the Deloitte Fast 50 as the fastest growing tech company in Australia for two years running – with revenue growth of over 26,000% and 9,000% – Montu is now the largest business of its kind outside North America.

This role is an Australia-based, fully work-from-home position, with access to co-working spaces in Sydney, Melbourne and Brisbane. 

Job Description

We are seeking a highly skilled and passionate Senior Analytics Engineer to join our Data team and contribute to improving the lives of thousands of people.

As a Senior Analytics Engineer, you will be responsible for designing and developing robust data products and analytics solutions that enable data-driven decision-making and insights generation. Related to customer facing e-Commerce sites for both our direct to consumer and retail / pharmacy partnerships, medical consulting platform, inventory management and warehousing. 

Duties and Responsibilities:

• Design, develop, and maintain scalable and reliable data infrastructure for capturing, storing, and processing data related to medical cannabis therapies.
• Implement and optimize data pipelines to ensure efficient and accurate transformation.
• Develop and maintain data models/products that support advanced analytics and reporting requirements.
• 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.
• Continuously optimize data processes and workflows to improve efficiency, scalability, and reliability.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Proven experience as an Analytics Engineer, Data Engineer, or a similar role.
• Strong programming skills in languages such as Python and SQL.
• Experience with data processing frameworks (e.g., dbt, Airflow) and data warehouse technologies (e.g., Redshift, BigQuery).
• Proficiency in building and optimizing ETL/ELT pipelines.
• Solid understanding of data modeling concepts and database technologies (e.g., relational, dimensional, NoSQL).
• Experience with data visualization tools (e.g., Looker, Tableau) is desirable.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

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:

• Unlimited access to the SAGED and Greenhouse learning platforms.
• Discounts with over 450 retailers through the Merit Reward and Recognition platform.
• Competitive salary and package.
• Full time, work-from-home role.
• Access to co-working spaces in Sydney, Melbourne and Brisbane. 
• Mental health support through our wellbeing platform, Unmind
• Being part of one of the fastest-growing industries in Australia while improving the lives of hundreds of thousands of patients. 

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.