Senior Analytics Engineer - Data & AI

Fortescue

Fortescue, positioning itself at the forefront of innovation, is on a mission to scale modern data capabilities. The dynamic Data and AI team within Integrated Technology emphasizes innovation that drives impactful insights. The Senior Analytics Engineer role is pivotal in shaping transformative analytics practices within the organization.

In this role you can expect to have the responsibilities:

• Champion analytics development using Git-based workflows for semantic models.
• Design and optimize data workflows on cloud platforms like AWS and Snowflake.
• Create visually compelling dashboards and translate complex data findings.
• Collaborate and mentor team members in Agile/Scrum environments.
• Stay updated on emerging analytics technologies and methodologies.
• Foster stakeholder engagement to refine impactful analytics outputs.

This role comes with the following benefits:

• Opportunity to work in a leading company driving decarbonization and renewable energy projects.
• Inclusive culture encouraging diversity and individuality.

This role requires you to have:

• Bachelor's degree in Computer Science, Data Science, or related field.
• Proven experience in data analytics and visualization.
• Expertise in data modeling and managing semantic models.
• Strong coding skills in Python and SQL.
• Proficiency in using Git and CI/CD practices.
• Excellent communication and stakeholder management abilities.
• Experience in Agile/Scrum methodologies.

You would benefit from having:

• Baseline knowledge of machine learning and data engineering.
• Familiarity with cloud platforms and data warehousing like AWS and Snowflake.

Fortescue is committed to diversity and inclusion, encouraging applicants from diverse backgrounds including First Nations Peoples and other underrepresented groups. The company proactively supports a culture of inclusivity across its global workforce.