Expert Data Analyst Wanted

2 days ago


Brisbane, Queensland, Australia Expose Data Pty Full time

Australia's Leading Data & Analytics Consultancy Exposé Data Pty seeks highly skilled Data Experts to enhance our team's capabilities. If you're passionate about leveraging data to drive decision-making and are eager to contribute to innovative projects, we want to hear from you

We prioritize our employees' growth, providing comprehensive training programs, state-of-the-art tools, and collaborative work environments. Our aim is to foster a dynamic atmosphere where talented professionals thrive.

This opportunity involves working closely with our team and clients to deliver impactful solutions that guide informed decision-making. Using your expertise in Data Science and Engineering, you will develop, implement, and refine complex data solutions.

  1. Data Science requirements:
  1. AIML and/or Databricks experience
  2. Python and/or R proficiency for data analysis and modeling
  3. Mastery of machine learning algorithms and statistical modeling
  4. Advanced data manipulation skills with libraries like Pandas, NumPy, and SQL
  5. Experience with deep learning frameworks like TensorFlow and PyTorch
  6. Developed machine learning models with proven success
  7. Familiarity with big data technologies such as Spark and Hadoop
  8. Data visualization expertise using tools like Matplotlib, Seaborn, and PowerBI
  9. Statistical knowledge and experimental design skills
  10. Version control system experience with Git
  11. Minimum 3-5 years of data science experience
  12. Cloud-based data science workflow proficiency, particularly on AWS
  13. Cloud-based machine learning platform and service experience
  14. Familiarity with cloud data storage, data warehousing, and ETL processes
  15. Cloud-based monitoring and logging understanding for data science projects
  16. Modern AI application experience, including LLMs and generative AI techniques
  17. On-premises and cloud-based data analytics technology and domain expertise
  18. Creating data analytics solutions in cloud-based, on-premises, and hybrid domains
  19. Essential Azure experience
  20. Databricks (Unity Catalog) or Snowflake environment experience
  21. AWS or GCP experience beneficial
  22. Business intelligence, ETL, DW, Semantic Models, and modern data analytics skills required
  23. End-to-end data flow through a modern data ecosystem
  24. Understanding of data warehousing in the modern sense, including Lakehouse, Delta, and Data Mesh
  25. Release management and CICD with Git

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