Commercial Analytics Manager (174074)

Requisition ID 174074 - Posted 06/10/2026 - Marketing - Australia - New South Wales - Sydney - Colgate-Palmolive - No Travel - Hybrid

No Relocation Assistance Offered

Job Number #174074 - Sydney, New South Wales, Australia

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

As Commercial Analytics Manager, you will transform complex data into clear commercial advantages and contribute to a best in class analytics practice. This role must bring to life RGM analytics, Price and Promo analytics, marketing Analytics (like MMM) and work with commercial stakeholders in driving decisions on Pricing, Promotions, Media Mix through a data driven approach.

The key objective of the role is to translate analytics for business value creation. You will lead the evolution of our data landscape from foundational BI to advanced analytics driven insights. This is a high-impact role designed for someone ready to lead Business intelligence & advanced data science application in the business for strategic outcomes

The role is to bridge the gap between technical infrastructure and executive decision-making. The role involves working with our advanced data science team, IT teams, in-house and external in building robust analytics solutions. It doesn’t involve building a data science model herself/himself but involves working with them to deliver solutions for business value creation.

Responsibilities:

1. Commercial Business Partnering

Demand Generation Collaboration: Act as a trusted analytics partner to the Commercial team, identify growth providing data-driven narrative needed to lead us to grow above the market.

Strategic Innovation: Collaborate with the Innovation team to use data-driven forecasting and AI platforms to shape future product pipelines and go-to-market strategies.

Value Optimisation: Support pricing & promotional strategy, profit pool analysis, inventory tracking and trade investment decisions through post-promotion analysis, ROI modeling and the use of advanced AI tools.

Strategic Enablement: Boost organizational data literacy by leading stakeholder training sessions (e.g., Unify+) to ensure high adoption of analytics tools.

2. Data Strategy & Financial Stewardship

Infrastructure & Master Data: Automate internal and external data flows (SAP, Circana, Google Cloud) to consolidate retail datasets into a high-quality "single source of truth" for reliable performance reporting, and oversee the eCommerce database.

Budget Ownership: Manage the end-to-end data strategy budget, including PO management, vendor negotiations, and preparing financial exhibits for business reviews.

Security & Governance: Lead local application reviews (MFA/Protocols) and manage enterprise access for critical platforms like Quantium and Blue Yonder.

3. Advanced Modeling & Media Optimisation

MMM Architecture: Act as the lead architect for Marketing Mix Modeling (MMM), overseeing simulations that dictate media spend and long-term investment strategy, both in upper and lower funnels, including retailer modelling.

Vendor Ecosystem: Lead the selection, contract negotiation, and implementation of advanced analytics vendors to enhance predictive capabilities.

Insights Translation: Synthesize technical outputs into executive-ready narratives that shape category growth and customer strategy.

Qualifications & Mindset

Experience: 7+ years in analytics, data science, or consulting-related roles

Analytics capability: Technical proficiency in Python and/or SQL, statistical methods, and data interpretation

Consulting mindset: Strong stakeholder management, problem structuring, and communication skills - including presenting to senior audiences.

Commercial acumen: Ability to identify business opportunities and collaborate with commercial stakeholders to action - ideally in the FMCG / CGP space

AI curiosity: Experience or genuine interest in applying AI/GenAI and automation in delivery

At least 2 years in customer management or data processing, knowledge of reporting tools and visualisation techniques and tools like Tableau, DOMO, Power BI

Our Commitment to Inclusion

Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

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