Role: Data Analyst (Insights & Analytics) Salary: £43k Location: Edinburgh, UK (90% Remote) We are seeking a Data Analyst focused on customer behaviour, adoption and value delivery to drive data-led decision making across our product and customer teams. This role works closely with our existing Product Data Analyst to create a strong analytics partnership, combining product usage insights with customer performance data to strengthen retention, growth and engagement. You will analyse how customers interact with our platform, uncover performance trends, identify risks and opportunities, and translate findings into clear dashboards and actionable insights. You will collaborate with Product, Engineering, Customer Success, Sales and Marketing to ensure data is embedded into strategic decisions and customer engagement models. Key Responsibilities Partner with engineering to enhance and extend our analytics capabilities and data models Develop and maintain customer-facing dashboards and reporting solutions Analyse customer usage patterns to identify adoption trends, risks and growth opportunities Present insights to stakeholders and customers in a clear and compelling way Support product and business improvements through data-driven recommendations Contribute to defining and tracking KPIs across usage, performance and customer outcomes Provide analytical support to Sales and Marketing through actionable data insights About You Proven experience in data analytics and data visualisation Strong SQL skills and experience with BI tools (e.g. Power BI, Tableau, Excel, or similar) Experience working with enterprise or complex software environments Familiarity with cloud data platforms such as Azure, data lakes, or similar technologies Strong communicator with the ability to translate technical data into business insight Comfortable working collaboratively with technical and non-technical stakeholders Proactive mindset with strong attention to detail and problem-solving ability Bonus Experience Experience with Azure data services, Kusto, or Python Background working alongside product or customer-facing teams This is a great opportunity for a data-focused professional who enjoys working at the intersection of product, customers and engineering, driving measurable impact through insights and analytics.