Lead Analytics Engineer

About Montu

Montu is a leading Australian medical cannabis company facilitating efficient patient access to life-changing medication. We have built a technically focused cannabis ecosystem, which streamlines the experience for patients end-to-end, and sets new standards in cannabis care.

Recently recognised as No.1 in the Deloitte Tech Fast 50, No.5 in the AFR Fast Starters, and following two record-breaking investment rounds, Montu is in a hyper growth phase and actively looking to expand the team to take the company to the next level. Join us on our mission to improve the lives of millions of patients with medical cannabis therapies.

Job Description

Are you a highly skilled and dedicated data professional looking to shape the future of a data platform that improves the quality of life for thousands of individuals? We are seeking a Lead Analytics Engineer to join our dynamic team. In this pivotal role, you will lead our Analytics Engineers, driving the growth and success of our data initiatives. You'll be responsible for designing and developing robust data products and analytics solutions, while also managing projects and optimizing our Business Intelligence (BI) platform.

Key Responsibilities:

• Data Infrastructure Development : Design, develop, and maintain scalable and reliable data infrastructure for capturing, storing, and processing data.
• Leadership and Mentorship : Provide leadership and mentorship to the Analytics Engineering team, fostering a collaborative environment and enhancing team skills.
• BI Platform Management : Oversee the BI platform, optimizing its efficiency, scalability, and security.
• Stakeholder Collaboration : Collaborate with stakeholders, enforce data quality and governance, assess and implement new technologies, and monitor analytics solution performance for continuous improvement.
• Data Pipeline Optimization : Implement and optimize data pipelines to ensure efficient and accurate transformation.
• Data Analysis : Perform data analysis and profiling to identify data quality issues, inconsistencies, and gaps.
• Analytical Solutions Development : Collaborate with analysts and stakeholders to define analytics requirements and develop analytical solutions.

Qualifications

• Education : Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Experience : Proven experience in a leadership role as an Analytics Engineer, Data Engineer, or similar capacity, with a track record of guiding and mentoring data engineering teams.
• Programming Skills : Strong programming skills in languages such as Python and SQL.
• Data Processing Frameworks : Experience with data processing frameworks (e.g., dbt, Airflow) and data warehouse technologies (e.g., Redshift, BigQuery).
• ETL/ELT Pipelines : Proficiency in building and optimizing ETL/ELT pipelines.
• Data Modeling : Solid understanding of data modeling concepts and database technologies (e.g., relational, dimensional, NoSQL).
• Data Visualization Tools : Experience with data visualization tools (e.g., Looker, Tableau) is desirable.

Additional Information

You will be joining a highly motivated, dynamic team, where your ideas and contribution will be highly valued, and directly influence the direction and progress of the business. You will also enjoy:

• Joining an expanding global company in its exciting growth phase
• Unlimited access to the SAGED and Greenhouse learning platforms
• Discounts with over 450 retailers across Australia through the Merit Reward and Recognition platform
• A collaborative, focused and driven culture that rewards high achievers
• Competitive salary and package
• Australia based, fully work from home
• Mental health support through our wellbeing platform Unmind
• Shaping the future of the cannabis industry as it evolves into a multibillion-dollar market

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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.