Montu is one of Australia's leading health tech businesses and a leader in alternative health services. With operations in Australia and Europe, we take a technology-first approach to reshaping the landscape for suppliers, practitioners, pharmacies and patients.

Montu operates a fully integrated, end-to-end ecosystem of healthcare companies that touches every part of the alternative health experience, from patient care through to pharmacy dispensing, clinical education, product development, wholesale distribution and more. Our brands include Alternaleaf, UMeds, Leafio and Saged.

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.

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

As an 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:

• Preparing data for analysis and ensuring its usability for business intelligence.
• 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.

• 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 dbt 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.

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.