Analytics Engineer

apartmentMR YUM TRADING PTY LTD placeSydney calendar_month 
Job title: Analytics Engineer
Salary range: $90,000-$110,000 per year
Location: Sydney (Hybrid)
Employment status: Full time

Employer : me&u

About The Role

An analytics engineer at me&u is a hybrid position that encompasses most parts of the data spectrum: data preparation, modelling, testing, documentation and maintenance, in addition to performing analysis, interpreting data, data science and creating reporting.

This balance allows our analytics engineers to quickly transition between data modelling and data analysis - being able to build from basic foundations through to complete insights with as little assistance as possible.

In short, this role really does turn data into insights. Ones that will shape the business.

What You'll Do
  • Collaborate with data engineers, data scientists and data analysts on end-to-end projects
  • Build and deploy data models and pipelines
  • Use BI and visualisation tools to build data analytics and reporting
  • Provide insights and analysis to the team and various stakeholders
  • Work independently across various projects as part of an agile team
  • Implement software development best practices like code review, CI/CD, release management and version control
  • You’ll be reporting into the Data Engineering manager
What You'll Need
  • 2+ years of experience in analytics engineering or a related field.
  • Strong SQL ability and experience using data warehousing solutions such as Snowflake
  • Intermediate programming ability in Python
  • Proficiency in data modelling, ETL tools and techniques - particularly dbt
  • Experience with data visualisation tools (e.g., Tableau, Looker, Power BI) for creating dashboards and reports
  • Demonstrate an analytical mindset and refined problem-solving skills
  • Comfortable operating independently with minimal supervision
  • Ability to work collaboratively with cross-functional teams, including RevOps, Product and Tech
  • Prior experience with Snowflake and AWS - our existing stack
  • Knowledge of Sisense (Fusion) is preferable
  • Experience with monitoring and alerting tools
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