Business Intelligence Analyst - £40-50,000 per annum benefits – Remote (UK based) Please note: To be considered for this role you must be residing in the UK and have the right to work in the UK without sponsorship. We are seeking a detail-oriented and proactive Business Intelligence Analyst to join our Data & Business Intelligence team. In this role, you will support the management and ongoing development of our organisation-wide Data Warehouse, ensuring high-quality reporting and actionable insights that drive operational excellence across our dental practices and support functions. You will act as a trusted expert and advocate for data-driven decision-making, contributing to the optimisation of patient care, operational efficiency, and commercial performance. Key Responsibilities: Manage the day-to-day maintenance and optimisation of our enterprise Data Warehouse, collaborating with key departments including Clinical Operations, Finance, People (HR), Marketing, and IT. Partner with internal BI colleagues and external data consultants to enhance the Data Warehouse content and support the strategic evolution of our business intelligence architecture. Collaborate with stakeholders to define reporting requirements and ensure the delivery of accurate and timely daily, weekly, and monthly reports that support decision-making at both the clinic and corporate levels. Develop interactive dashboards and visual reports using Microsoft Power BI, enabling teams to monitor patient metrics, appointment trends, operational KPIs, and financial performance. Promote best practices in data usage across the business, encouraging clinicians, practice managers, and head office teams to engage with and trust BI insights. Ensure all scheduled reports are reliably delivered and address any questions or issues raised by recipients, working with the BI team to resolve data anomalies or process gaps. Conduct peer reviews of dashboards and data logic to ensure accuracy, consistency, and alignment with clinical and operational priorities. Serve as the internal subject matter expert for the Data Warehouse, helping users interpret and navigate data confidently and accurately. Support ad hoc data analysis projects related to clinical efficiency, patient satisfaction, or operational performance, either in response to business needs or through proactive exploration. Deliver engaging demos and training sessions to help staff understand and utilise BI tools effectively. Provide support to other BI team members as needed, ensuring continuity in reporting and analysis. Essential Skills & Experience: Proficient in Microsoft Power BI (intermediate to advanced), including strong understanding of DAX for data modelling and reporting. Proven experience producing and managing regular business reporting, ideally in a healthcare, clinical, or multi-site operational environment. Strong data visualisation skills, with experience in tools such as Power BI, Microsoft SSRS, Google Data Studio, or Tableau. Solid SQL skills and familiarity with data warehouse environments. Knowledge of database design principles and data governance best practices. Commercial and operational awareness, with an understanding of how data supports patient care, clinic performance, and corporate goals. Analytical mindset and problem-solving ability, with experience designing metrics and KPIs relevant to service-based industries. Ability to design clear and intuitive reports that support clinic-level decision-making through visual storytelling and data clarity. Excellent interpersonal and communication skills; able to translate complex data concepts for clinical and non-technical stakeholders. High attention to detail and commitment to delivering accurate, high-impact reporting. Self-motivated, adaptable, and comfortable working in a fast-paced, service-oriented environment. Desirable Skills & Experience: Familiarity with tools such as JIRA and Confluence. Understanding of Agile project methodologies. Experience using Python for data transformation or advanced analysis. Experience working with sensitive or regulated data, including patient or healthcare data (e.g. GDPR, clinical confidentiality standards).