Define and track the key performance indicators that drive commercial success.
Build headcount, capacity, productivity, and funnel models to optimise commercial performance.
Analyse sales effectiveness and identify opportunities to improve conversion, productivity, and execution.
Evaluate unit economics across channels and regions, providing recommendations to improve growth efficiency and return on investment.
Support pricing, incentive design, and commission structures to ensure alignment with business objectives.
Monitor business performance, identify emerging risks and opportunities, and provide actionable recommendations to leadership.
Produce insights that help leaders understand what is driving performance and where intervention is required.
Lead deep-dive analyses into key business questions and strategic priorities.
Work closely with Commercial Excellence, Finance, Revenue Operations, People, Data, Product, and Country Leadership teams to translate strategy into execution.
Ensure commercial initiatives are measurable, operationally effective, and aligned with broader company priorities.
Help establish a culture of accountability, data-driven decision-making, and continuous improvement.
Requirements
4–7 years of experience in Management Consulting, Strategy, Commercial Planning, Business Analytics, Investment Banking, Private Equity, FP&A, or a similar analytical role.
Experience supporting commercial, sales, or go-to-market organisations in a high-growth environment.
Exceptional analytical and problem-solving skills with the ability to simplify complex business challenges.
Strong commercial acumen and a genuine interest in how businesses grow.
Proven ability to build financial, operational, and commercial models that inform strategic decisions.
Ability to influence senior stakeholders and challenge thinking through data and insight.
Comfortable operating in fast-paced, high-growth, and ambiguous environments.
Excellent communication skills with the ability to translate analysis into clear business recommendations.
Degree in Engineering, Economics, Mathematics, Finance, Business, Data Analytics, or a related field.
Advanced Excel / Google Sheets skills and experience working with large datasets.
Experience with BI tools such as Power BI, Tableau, Looker, or similar.
Experience with Salesforce or other CRM platforms.