Senior Data Analyst | Blackburn, UK (Hybrid with flexibility to work from home) | Full Time | £40,000 £50,000 per year (depending on experience)
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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
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