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Data Insights Specialist

2 weeks ago


Brisbane, Queensland, Australia beBeeBusiness Full time $160,000 - $170,000

Job Title: Data Insights Specialist

We are seeking an experienced data insights specialist to support a major business intelligence project.

In this role, you will play a critical part in designing, building, and optimising scalable data pipelines ensuring the integrity and accessibility of data across the organisation.

You will work with cloud-based platforms such as Snowflake and supporting reporting environments in Power BI helping transform raw data into high-quality business-ready insights that drive decision-making.

Key Responsibilities:
  • Develop and maintain efficient and scalable data pipelines to support analytics and reporting.
  • Write and optimise SQL queries for high-performing data processing and retrieval.
  • Integrate and transform data from multiple sources using ETL frameworks and tools.
  • Support and maintain cloud data warehouse infrastructure including Snowflake.
  • Partner with analysts and data specialists to enable robust Power BI reporting solutions.
  • Ensure data accuracy quality and governance across all stages of the pipeline.
  • Collaborate with stakeholders to translate requirements into technical solutions.
About You:

To succeed in this role you will bring a blend of technical expertise and business acumen.

Essential skills include:

  • Excellent data modelling skills and proven ability to build data warehouses according to best practices.
  • Strong SQL skills and experience with large-scale data queries.
  • Proven experience in data pipeline development data transformation and integration.
  • Hands-on experience with Snowflake or similar cloud platforms.
  • Solid understanding of data modelling and performance optimisation.
  • Experience supporting Power BI reporting environments.
  • Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
  • Knowledge of data governance and data quality practices.
  • Experience in data visualisation and advanced data analysis.