Senior Strategy, Planning & Insight Analyst, MOO

• Strong analytical capability with experience navigating complex datasets and ambiguous business questions
• Skilled at identifying what matters commercially and translating loosely defined problems into actionable insight
• Effective cross-functional collaborator who balances rigour, pragmatism, and pace
• Comfortable making recommendations in uncertain environments using a combination of data, judgement, and business context
• Thinks beyond short-term reporting and understands the wider commercial implications and trade-offs behind decisions
• Able to bring structure, prioritisation, and clarity to evolving or ambiguous workstreams
• Experience building forecasting, planning, customer value, or lifecycle models to support commercial decision-making
• Proactively improves processes, ways of working, and analytical approaches across teams
• You are commercially curious, analytically strong, and strategically minded
• You are comfortable working in ambiguity and building structure where none exists yet
• You know how to balance analytical rigour with pragmatism, and you understand when a directional answer today is more valuable than a perfect answer in three weeks
• You can move comfortably between deep analytical work, commercial discussion, and executive storytelling
• You understand that the value of analytics is not the model itself, or the process through which answers are arrived it. It is the quality of decisions that come from it

Desirable

• The Pricing & Commercial Performance team exists to help MOO make smarter commercial decisions
• We sit across pricing, customer economics, acquisition, CRM, category management, forecasting, and commercial strategy. We help the business understand not just what is happening, but why, what matters, and what we should do next
• We are not a reporting factory. We are a commercial thinking function
• Our work spans everything from customer lifetime value modelling and pricing strategy to board-level storytelling, experimentation, forecasting, and strategic planning
• We partner closely with team across Commercial, Finance, Product, Operations, and Technology to challenge assumptions, surface opportunities, and improve decision-making across the business
• Due to internal promotions, we are now hiring a new role. This is an opportunity to bring deeper strategic and analytical capability into the team as MOO continues to strengthen its commercial and data foundations
• We are looking for someone who naturally thinks beyond the next quarter
• Someone who enjoys building commercial models, shaping strategic thinking, identifying opportunities hidden in messy data, and translating complexity into clear narratives that drive action
• This role sits at the intersection of commercial strategy, forecasting and planning, customer and revenue modelling, and leadership level insight generation
• You will help MOO better understand the long-term drivers of customer value, revenue growth, profitability, and commercial performance
• You will work on problems that are often ambiguous, loosely defined, and cross-functional in nature
• One week you may be building a lifecycle forecasting model or sizing a new commercial opportunity. The next, you may be developing the narrative for a board presentation or helping leadership understand why a key metric has shifted
• This is not a tactical reporting role
• We are looking for someone who can zoom out, connect dots others miss, and help the business make better long-term decisions
• Support long-term commercial planning and strategic decision-making across MOO
• Identify emerging risks, opportunities, and structural trends across customers, channels, products, and markets
• Help shape the commercial narrative around growth, profitability, and customer value
• Contribute to business cases, investment sizing, and strategic prioritisation work
• Forecasting, Modelling & Planning
• Build forecasting and planning models that move beyond simple cohort reporting
• Develop scalable commercial models using approaches such as RFM segmentation, lifecycle modelling, retention modelling, buy-till-you-die frameworks, customer value forecasting and scenario modelling
• Translate commercial questions into measurable analytical frameworks
• Support development of lever-based forecasting tools that can be used operationally by the business
• Produce high-quality insight narratives for senior leadership and board-level audiences
• Distil large, complex datasets into clear commercial stories and recommendations
• Identify signal from noise — understanding what matters commercially versus what is merely interesting
• Create presentations, dashboards, and strategic analyses that influence decision-making
• Commercial Performance & Customer Economics
• Partner with acquisition, CRM, pricing, and category teams to understand commercial performance drivers
• Support development of customer lifetime value and profitability frameworks
• Help connect acquisition behaviour to downstream customer outcomes and long-term value
• Contribute to experimentation design and commercial performance measurement
• Work closely with Finance, Product, Marketing, Commercial, and Data teams
• Act as a translator between technical analysis and commercial decision-making
• Challenge assumptions constructively and help teams frame problems more effectively