Revenue Operations Analyst (Freelance / Contract) 100% Remote (all genders)

Job description

We are looking for a Revenue Operations Analyst (Freelance / Contract) to support the improvement of how we use data across marketing, sales, customer success, product, and billing. The assignment focuses on understanding how our revenue processes perform, identifying the reasons behind changing results, and turning data into actionable insights. You will analyse performance, define meaningful metrics, combine data from different systems, investigate patterns, and validate assumptions. Your work should contribute to measurable improvements. This may include supporting better business decisions, improving existing processes, or introducing automations that reduce manual effort and increase reliability. Reporting and dashboards are part of the assignment, but they are not the end goal. Each analysis should address a relevant business question and provide a clear foundation for decision-making. You will support the implementation of selected solutions, including data models, dashboards, automations, and process improvements. The primary focus remains on analysis and generating insights, with implementation following where the expected impact and measurement approach are clearly defined. Relevant professional experience is preferred but not mandatory. We value strong analytical judgement, accuracy, technical understanding, independence, and the ability to quickly learn and deliver high-quality results. Tasks Analyse the customer journey across acquisition, conversion, retention, and revenue performance. Define, refine, and maintain consistent metrics across marketing, sales, customer success, product, and finance. Extract, combine, clean, and validate data from operational and analytical systems. Investigate changes in customer behaviour, funnels, conversion rates, retention, costs, and revenue trends. Identify the likely drivers behind performance changes rather than only describing outcomes. Review existing reports and identify unreliable metrics, data gaps, and inconsistent definitions. Develop hypotheses and validate them using available data and analytical methods. Separate evidence-based insights from assumptions, correlations, and opinions. Estimate the potential impact of proposed improvements and define suitable success metrics. Prioritise opportunities based on expected impact, effort, and confidence in the underlying data. Present findings and recomm…