Analytics Engineer

• Strong technical experience with languages and tools such as - Python, Spark, DBT, Databricks
• Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
• Provide clean and appropriate data sets/views for data and reporting requirements to be delivered
• Provide insights and workshop with Data Engineers the gaps of data in the data lake for data engineers to pipeline in
• Apply appropriate statistical calculations and models against data sets in GROW’s Data Lake
• Continuous improvement activities on performance optimisation of all data pipelines and data stores, applying engineering best practices to code ie Versioning, automated testing, CI/CD
• Provide input into the discovery and solution phase for Business/Client needs, assessing risk in exposing data and working inline with GROW’s risk framework

Additional information

Why you’ll love working at GROW

• 1 day of birthday leave each year

• Health insurance for you and 1 dependent

• Government Contributions paid on top of salary

• Flexible, remote working environment

• Diverse, friendly, and transparent culture

• On-the-job learning and training

Looking for a job can be stressful and we don’t want you agonising over the wording of your cover letter, so don’t include one. Just make sure your CV is well-written and detailed enough so we can get a better idea of the type of person you are. Even if you don’t meet every single requirement, but you feel inspired to join our mission, we encourage you to send in your application. You never know, you could be the perfect person to join our team!

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