Job Purpose

This role is responsible for delivering the data insights and commercial intelligence that underpin decision-making across plan.com. The Data Analyst will work with large and complex datasets to develop analytical models, deliver both one-off and scheduled analysis, and support forward-looking financial forecasts that drive understanding of business performance.

The role plays a central part in analysing historic and future profitability, rebuilding and owning core reporting datasets, and enhancing Power BI reporting. Fundamental to this position is the ability to step back from raw data, understand its commercial context, and translate complex analysis into clear, compelling narratives that support or challenge business assumptions.

Main Duties and Responsibilities

• Partner with stake holders across the business to understand commercial and analytical requirements, translating these into clear, actionable insights that support decision-making.
• Analyse large and complex datasets to deliver analytical models, ad hoc and scheduled analysis, and forward-looking financial forecasts, including historic and future profitability and three-statement financial modelling.
• Build, maintain, and take ownership of core reporting datasets, supporting the rebuild and ongoing development of Power BI reports and data models.
• Develop and manage scalable, reliable data processes using tools such as KNIME, Python, Excel, and Power BI, ensuring strong data orchestration and data integrity.
• Identify trends, risks, and opportunities within data, stepping back to understand the wider business context and creating clear narratives that support or challenge commercial assumptions.
• Communicate insights effectively to both technical and non-technical audiences, contributing to the continuous improvement of analytics, reporting standards, and decision-making frameworks.
• Undertake ad hoc analytical tasks as required to support the objectives of the analytics team and the wider business

• Personal drive and a genuine desire to improve business performance through analytics
• Passion for creating solutions with a positive attitude to change
• Strong interest in business and business development

• Extensive experience (3+ years) with KNIME, Python, R, or other statistical analysis tools
• Advanced knowledge of Excel and SQL
• 3+ years’ experience mining data as a Data Analyst
• Exceptional analytical and problem-solving skills, with a passion for big data
• Dedication to delivering team and business objectives, with a willingness to learn new skills as systems and needs evolve
• Technical writing experience in queries, reports, and presentations
• Experience with ETL processes, model design, and segmentation techniques
• Proven analytical skills, including data mining, evaluation, and visualization

• Degree in a quantitative field such as Statistics, Mathematics, Physics, Finance, Economics or Computer Science