- Locations
- Remote
- Sydney, Australia
- Melbourne, Australia
- Last Published
- Dec. 4, 2024
- Sector
- Media
- Functions
- Software Engineering
- Data Science
Senior Analytics Engineer Sydney, NSW • Melbourne, VIC • Australia | Remote Data Remote • In office Full-time The Role As a Senior Analytics Engineer on the Data Platform team, you will play a critical role in building the architecture and tools that power our data analytics and reporting functions. Your expertise in data engineering and analytics will create robust data models, develop advanced analytics solutions, and deliver insights that drive business strategy. Your role will be crucial in influencing the direction of our data platform and ensuring its alignment with the company’s strategic goals. What You'll Own
- Core Data Models: Design, develop, and maintain essential data models that will be leveraged across various business functions. Your work will ensure consistency and accuracy in the way data is represented and utilised throughout the company.
- Standards and Best Practices: Define and implement data engineering standards and best practices. Provide guidance and support to other teams to ensure adherence to these standards, promoting high-quality data processes and governance.
- Cross-Functional Collaboration: Partner with data scientists, analysts, and engineering teams to understand their requirements and deliver data solutions that align with their needs. Facilitate effective communication and knowledge sharing across teams.
- Strategic Influence: Play a key role in shaping the future direction of the data platform. Provide strategic insights and recommendations to enhance the platform’s capabilities and its impact on business decision-making.
- Experience: 2+ years of experience in analytics engineering, data engineering or a related role.
- Technical Skills: Proficiency in SQL and experience with data warehousing solutions (e.g., Snowflake). Knowledge of data engineering tools and frameworks (e.g., Apache Airflow, dbt) and programming languages (e.g., Python).
- Analytics Tools: Experience with business intelligence tools (e.g., Looker) and data visualisation best practices.
- Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
- Experience operating at scale: You have worked on data systems that power a product that serves hundreds of millions of active users.
- An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set up - the choice is yours!
- 100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees.
- Employer contribution towards your retirement.
- Generous time off for vacation, holidays, parental leave, volunteer time and other categories.
- Employee Stock Option Program - we want each and every employee to share in the company’s success as we go further together.