CP Data Analyst (external)

Purpose

The role is focused on collecting, analysing and interpreting business and operational data to support decision-making across supply chain and commercial functions; Analysing end-to-end supply chain and business processes, identifying gaps, and recommending improvements that drive efficiency and effectiveness; preparing and presenting business cases and financial justifications for investment, process change, and strategic initiatives to senior management; building and maintaining reporting tools, KPI dashboards and performance frameworks aligned to business priorities.

RESPONSIBILITIES

• Ensure availability, quality and integrity of data across supply chain and commercial functions in the CUs
• Lead and deliver analytical projects end-to-end – independently and with cross-functional teams
• Develop, maintain and continuously improve KPI dashboards and reporting frameworks to enable management decision-making
• Analyse supply chain, commercial and operational processes; translate findings into actionable improvement recommendations
• Prepare business cases with financial modelling, scenario analysis, risk assessment and implementation roadmap for senior stakeholder review
• Drive collaboration with Finance, Commercial, Demand Planning, Logistics and Customer Service to align data sources, definitions and insights
• Ensure alignment of local analytical outputs with regional and global standards, reporting requirements and digital roadmap
• Support strategic planning cycles with data modeling, forecasting inputs and performance benchmarking
• Drive continuous improvement in analytical tools, methodologies and data governance across the CUs and beyond

CRITICAL EXPERIENCE AND KNOWLEDGE

• Bachelor's or Master's Degree in Data Science, Statistics, Business Administration, Supply Chain, Economics or related field
• Fluent in English (written and spoken)
• Strong proficiency in Power BI or equivalent BI tools, Advanced Excel and SQL; Python or R is a plus
• Ability to structure and analyse complex, multi-source datasets and translate findings into clear business recommendations
• Financial literacy and hands-on experience with business case methodology and financial modelling
• Strong communication and data storytelling skills – ability to present to non-technical audiences
• Collaborative mindset with proven stakeholder management skills
• Familiarity with project management principles and tools (e.g. Agile, PMI or equivalent)
• Knowledge of supply chain or commercial processes is a strong advantage