AT CSR, WE’RE BUILDING A BETTER FUTURE TOGETHER.

We are a team of 2,600 people across Australia and New Zealand, and we are all collaborating every single day towards a shared purpose - ‘Building solutions for a better future’. As a leading Australian Manufacturing business, we’re at the forefront of developing innovative, sustainable, and high performing building products and systems.
At CSR, we put people first. We are committed to creating a safe, respectful, supportive, and inclusive working environment that enables everyone to feel valued, grow and truly thrive. We are committed to providing equal opportunity for everyone and welcoming people of all backgrounds, identities, experiences, abilities, and life stage.

ABOUT THE ROLE:

CSR are seeking a dynamic Pricing Partner / Senior Pricing Insights Analyst to join our team based in North Ryde to support the Pricing Excellence Team in a senior capacity.
Join our Pricing Excellence team to shape pricing architecture and drive smarter decisions across products, channels, and customer segments. This role blends analytical rigour with strategic impact-perfect for someone who thrives on turning complex data into clear commercial outcomes. This role is ideal for a technically minded senior analyst / pricing partner who thrives on solving commercial problems using data.

Some responsibilities include but are not limited to:

• Analyse price, margin, and volume performance using Power BI, Excel, Python and SQL.
• Identify pricing opportunities, risks, and optimisation scenarios.
• Build dashboards and pricing tools to support pricing decisions and forecast impacts.
• Support price reviews, margin analysis, and value-based pricing initiatives.
• Contribute to pricing architecture, segmentation, and discount strategy design.
• Collaborate with sales, finance, and category teams to deliver actionable insights.
• Collaborate with key stakeholder in deploying long term price evolution roadmap, including AI and ML capabilities.

WHAT YOU BRING TO THE ROLE

• 5+ years in pricing, commercial analytics, or revenue management.
• Degree in Finance, Data Science, Mathematics, or related field.
• Advanced Excel / Power Query and Power BI skills; strong Python and SQL experience.
• Understanding of Machine Learning models and AI for pricing application is a plus.
• Proven ability to translate complex data into commercial recommendations.
• Experience in B2B, manufacturing, or building materials is highly regarded.