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Analytics Specialist

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Sydney, New South Wales, Australia beBeeDataEngineer Full time $120,000 - $180,000

We are seeking a skilled and detail-oriented Data Engineer to join our team. This is an exciting opportunity to be at the heart of our data ecosystem, transforming raw data into reliable, accessible, and actionable insights.

">Data Engineer Job Description

In this role, you will bridge the gap between our data platform and business stakeholders, using your skills in SQL, Python, DBT, and Snowflake to build and maintain robust data models that power our analytics and business intelligence.

  • Data Modeling & Transformation: Design, develop, and maintain scalable data transformation pipelines and data models using DBT and Snowflake.
  • Report & Dashboard Enablement: Build and optimize curated data marts that power our business intelligence tools. Collaborate with BI specialists to develop and maintain key reports and dashboards in Tableau, ensuring they are fed by clean, reliable, and performant data.
  • Data Quality & Governance: Implement and automate data quality tests, documentation, and lineage within our DBT projects. You will be accountable for the accuracy, consistency, and timeliness of data delivered to the business.
  • Data Extraction & Scripting: Use Python and SQL to perform data extraction, validation, and ad-hoc analysis. Develop scripts to automate data processes and enhance our analytics capabilities.
  • Requirements Gathering: Work directly with business stakeholders to gather and clarify requirements for analytics projects, translating business needs into technical specifications for data models and reports.
  • Insight Support & Collaboration: Assist in the interpretation of data, clearly document data models and definitions, and support the communication of insights to business stakeholders in an understandable format.
Key Responsibilities:
  • Design, develop, and maintain robust and scalable data transformation pipelines and data models using DBT and Snowflake.
  • Build and optimize the curated data marts that power our business intelligence tools.
  • Implement and automate data quality tests, documentation, and lineage within our DBT projects.
  • Use Python and SQL to perform data extraction, validation, and ad-hoc analysis.
  • Work directly with business stakeholders to gather and clarify requirements for analytics projects.
  • Assist in the interpretation of data, clearly document data models and definitions, and support the communication of insights to business stakeholders.