Senior Analytics Engineer

Senior Analytics Engineer Credit Clear | Remote, office or hybrid – your choice- Melbourne Sydney Brisbane

Love building data models people actually trust? This one's for you.

Credit Clear is an innovative ASX-listed technology company, and our data team is at the centre of how we make decisions. We're looking for a Senior Analytics Engineer to join our close-knit team of five .You'll take messy, complex data and turn it into clear, reliable insights that teams across the business use every day.

This isn't a role where your work disappears into a backlog. What you build will shape our reporting, product decisions and customer outcomes, and people across the business will see the impact.

What you'll be doing

• Build trusted, scalable data products using SQL, dbt and modern Lakehouse technologies that power reporting, product insights and business decision-making.

• Partner with Product, Engineering, Analytics and business stakeholders to understand how the business operates and translate complex problems into practical data solutions.

• Design reusable data models, metrics and business definitions that create a single source of truth across the organisation.

• Shape the future of Credit Clear's analytics platform by contributing to data architecture, modelling standards and governance practices.

• Improve trust in data through automated testing, quality controls, observability and robust engineering practices.

• Apply software engineering disciplines including Git, code reviews, CI/CD and automation to analytics development.

• Work closely with Data Engineering to optimise data pipelines, performance, reliability and scalability.

• Investigate challenging data and reporting issues, uncover root causes and drive lasting improvements.

• Enable self-service analytics by creating well-documented, discoverable and easy-to-use datasets.

• Play a key role in helping teams make faster, better decisions through high-quality data and insights.

What you'll bring

• A degree in Computer Science, Software Engineering, IT or a related field

• 5+ years of relevant professional experience after completing your degree

• Strong hands-on experience with SQL and analytical or dimensional data modelling.

• Experience building and maintaining dbt solutions, including testing, documentation and data lineage.

• A solid understanding of modern data platforms, ELT pipelines, data warehouses or Lakehouse architectures.

• A passion for solving business problems, not just technical ones, with a genuine curiosity about how organisations operate.

• The ability to engage stakeholders, challenge assumptions and translate ambiguity into clear, actionable data solutions.

• Experience applying software engineering practices such as version control, peer reviews and CI/CD to analytics development.

• Strong analytical and problem-solving skills, with a focus on data quality, accuracy and continuous improvement.

• Excellent communication skills and the ability to work effectively with both technical and non-technical audiences.

• A collaborative, proactive mindset and a desire to help shape the future of a growing data and analytics capability.

Bonus points (but not essential): experience with Experience with Azure, Databricks, Python or modern orchestration and BI tools.

Why you'll love working with us

• Flexibility that works for you: work remotely, from the office or a mix of both

• A team that has your back: join a supportive, experienced group of five data and engineering professionals

• Real impact: own meaningful work that directly shapes business and customer outcomes

• Set up for success: full training on our systems and ways of working

• Innovation at scale: be part of a growing ASX-listed technology company

Ready to make your mark?

If you're an experienced analytics engineer looking for flexibility, growth and the chance to make a visible difference, we'd love to hear from you. Apply today.