Senior Data Analyst | Blackburn, UK (Hybrid with flexibility to work from home) | Full Time | £40,000 £50,000 per year (depending on experience) We are seeking a Senior Data Analyst to join our Data & Underwriting team in a supervisory capacity. This position is ideal for a professional passionate about front-end analytics, dashboards, and business insights, while also having a basic understanding of back-end data systems. You will have the opportunity to mentor others, strengthen the teams analytical capabilities, and support the organisations financial performance objectives. Whats In It For You End-of-year bonus scheme based on KPI performance 22 days holiday plus bank holidays Optional 1-month unpaid sabbatical after 5 years of service Pension and healthcare support (including free eye tests and employee assistance programs) Company-funded training and external learning opportunities Employee discount on company products Interest-free company loan up to £1,000 (after 6 months) Social events, staff incentives, and clear career progression opportunities Requirements Essential Strong Power BI, DAX, and SQL experience (5 years) with a focus on front-end dashboards and reporting Experience in Python or R (1 year) for analysis and modelling Familiarity with statistical analysis, forecasting, and data visualisation best practices Excellent organisational skills and ability to manage multiple projects independently Proactive, forward-thinking, and capable of translating data insights into strategic business decisions Desirable Proficiency in M Language / Power Query Supervisory or team leadership experience with strong mentoring and communication skills The Role Lead, mentor, and develop junior Data Analysts, fostering collaboration, learning, and analytical excellence Create, maintain, and optimise Power BI dashboards, translating complex data into clear, actionable insights Analyse dashboard data and suggest critical business changes aligned with strategic goals Support improvements in data collection, BI reporting workflows, and data governance standards Collaborate with stakeholders to understand analytical requirements and prioritise projects Oversee quality assurance of team outputs to ensure alignment with strategic objectives Work with leadership to plan workloads, delegate responsibilities, and manage multiple projects efficiently Explore emerging technologies, including AI & ML, to enhance analytical capabilities (training available) Collaborate with data engineers to support ETL process improvements Whats next? Its easy! Click APPLY now! We cant wait to hear from you! Your data will be handled in line with GDPR.