Advanced Data Analytics Professional

3 days ago

Canberra, ACT, Australia beBeeData Full time
Job Description:

As a Senior Data Scientist, you will play a pivotal role in enabling data-informed decision-making across policy and program areas. Your expertise in data engineering, analysis, and AI-driven insights will drive the development of advanced data capabilities.

Responsibilities include identifying and developing relevant open-source and official data sources, collaborating with Power BI developers to build and maintain data models, extending and maintaining ETL pipelines and data cleaning scripts using Python.

Additionally, you will conduct in-depth analysis to support policy and program initiatives, create dashboards and visualisations to communicate insights effectively, and maintain and enhance AI tools for summarising and analysing diverse data sources.

  • Data Systems Development:
  • Identify and develop relevant open-source and official data sources.
  • Collaborate with Power BI developers to build and maintain data models.
  • Extend and maintain ETL pipelines and data cleaning scripts using Python.
  • Data Analysis & Visualisation:
  • Conduct in-depth analysis to support policy and program initiatives.
  • Create dashboards and visualisations to communicate insights effectively.
  • AI Tool Development:
  • Maintain and enhance AI tools for summarising and analysing diverse data sources.
  • Adapt tools for new use cases based on stakeholder needs.
  • Ensure documentation and compliance with internal standards.
  • Stakeholder Engagement:
  • Work closely with internal teams to understand data needs and deliver tailored solutions.
  • Provide expert advice on data collection, integrity, and interpretation.
Skills & Experience:

Essential qualifications include demonstrated experience in data science, engineering, and architecture, proficiency in Python and associated data tools, strong background in ETL processes, data modelling, and visualisation (e.g., Power BI).

Familiarity with AI/ML tools and platforms (e.g., OpenAI, Azure) is also required. Excellent communication and documentation skills are necessary for success in this role.

  • Key Skills:
  • Demonstrated experience in data science, engineering, and architecture.
  • Proficiency in Python and associated data tools.
  • Strong background in ETL processes, data modelling, and visualisation (e.g., Power BI).
  • Familiarity with AI/ML tools and platforms (e.g., OpenAI, Azure).
Additional Benefits:

This role offers the opportunity to work on cutting-edge projects, collaborate with a dynamic team, and contribute to the development of advanced data capabilities. If you are a motivated and experienced professional looking to take your career to the next level, apply now

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