Analytics Business Partner (Supply Chain & Logistics)

To act as the primary strategic interface between the Supply Chain Optimisation analytics function and its key stakeholders across Supply Chain Operations, Transformation, and the central Data & Analytics (D&A) organisation. The Analytics Business Partner identifies, shapes, and prioritises analytical demand, ensuring the right problems are tackled and that insights drive meaningful operational and strategic improvements. Working hand in hand with the Analytics Manager, this role translates business challenges into clear analytical requirements, ensures alignment on priorities, and champions the use of data to influence decision-making across the supply chain.

What I am accountable for

• Serve as the outward-facing point of contact for all analytics-related engagement with supply chain operations, transformation teams, and the central D&A function.
• Build strong, trusted relationships with stakeholders at all levels, understanding their priorities, pain points, and strategic objectives.
• Facilitate clear and proactive communication between stakeholders and the analytics team.
• Identify analytical needs across supply chain and transformation programmes, challenging and refining requests to ensure problem clarity and value focus.
• Prioritise analytical workload based on business impact, strategic alignment, and available capacity, in partnership with the Analytics Manager.
• Manage the pipeline of analytics requests, ensuring transparency of priorities, timelines, and outcomes.
• Collaborate with operational and project teams to define the scope, success criteria, and decision context for analytics work.
• Write and communicate clear briefs for the Analytics Manager and internal team, ensuring they understand the 'why', not just the 'what'.
• Ensure analytical outputs are actionable, relevant, and aligned to stakeholder expectations.
• Act as the interpreter of analytical insights, translating complex outputs into compelling, commercially grounded narratives.
• Support stakeholders in understanding findings, implications, and recommended actions.
• Facilitate insight-driven decision-making through workshops, presentations, and cross-functional reviews.
• Ensure analytics activity is directly supporting supply chain optimisation goals and transformation priorities.
• Represent the analytics perspective in strategic planning, operational reviews, and change programmes.
• Advocate for data-driven approaches and champion best practice across the organisation.
• Work closely with the Analytics Manager to ensure alignment between stakeholder demand and internal delivery plans.
• Partner with the central Data & Analytics function to align on data governance, tooling, and enterprise analytics standards.
• Support supply chain leadership and programme teams in embedding analytical thinking into continuous improvement initiatives.
• Support the definition and monitoring of KPIs that demonstrate the commercial and operational impact of analytics work.
• Ensure insights are translated into measurable actions, and track benefit realisation in collaboration with the Analytics Manager and programme teams.

What I need to know Essential

• Strong experience in an analytics-facing business partnering, consulting, strategy, or commercial insights role.
• Understanding of supply chain operations, logistics processes, or transformation environments (retail or FMCG advantageous).
• Proven ability to translate business challenges into structured analytical problems.
• Strong communication and storytelling skills-able to simplify complex analytics for non-technical audiences.
• Experience managing stakeholders with differing priorities, and influencing decision-making in a complex, cross-functional environment.
• Solid grasp of analytics fundamentals (data types, modelling approaches, dashboards), enabling effective challenge and conversation with delivery teams.
• Experience in prioritisation and portfolio management within a fast-paced setting.

Desirable

• Project or programme management experience or qualifications
• Strong data management, modelling, and visualisation skills (e.g., SQL, Python, Power BI, Tableau, or similar).

What I need to show

• Strategic communicator - clear, confident, and able to influence senior stakeholders.
• Commercial thinker - focuses on value, outcomes, and real-world impact.
• Collaborative partner - works seamlessly across teams and functions.
• Curious & questioning - digs deeper to understand problems and opportunities.
• Structured & organised - manages demand and priorities with discipline.
• Outcome-driven - ensures insights lead to real decisions and measurable actions.
• Change advocate - promotes continuous improvement and data-driven ways of working.

Measures of success

• High stakeholder satisfaction and strong relationships across supply chain, transformation, and D&A.
• Clear, well-managed and transparent demand pipeline aligned to strategic priorities.
• Effective prioritisation leading to high-value analytics delivery.
• Demonstrable influence on decision-making and optimisation actions.
• Increased adoption of analytics and data-driven approaches across the supply chain.
• Measurable contribution to optimisation outcomes (cost, service, efficiency).
• Strong alignment and seamless collaboration with the Analytics Manager and delivery team.