VodafoneThree - Analytics & Reporting Lead

Working hours: Full time 37.5 hours per week - Monday to Friday - As Analytics & Reporting Lead, you'll help transform complex data into meaningful stories that drive action. You'll work across Finance Operations, commercial teams, and senior leadership to uncover opportunities, anticipate challenges, and influence strategic decisions. Combining analytical expertise with curiosity and collaboration, you'll play a key role in helping the business deliver greater value for customers while supporting sustainable commercial performance. - You will: Develop strategic, forward-looking insights that explain changing customer, market, and portfolio performance and support informed business decisions. Design and deliver new automated reporting solutions using Qlik, improving accessibility, efficiency, and impact of business insights. Use internal and external data sources to build a deeper understanding of customer behaviours, market dynamics, and commercial performance. Translate complex data into clear, engaging, and accessible narratives that enable stakeholders to confidently take action. Partner with Commercial Managers, Analysts, and Finance Operations teams to ensure insights lead to measurable business outcomes. Develop customer segmentation and profiling approaches that support innovation, improve customer value, and strengthen retention strategies. Contribute to forecasting, planning, and performance management processes through evidence-based recommendations and commercial insight. Monitor customer and market intelligence to help the business anticipate shifts in customer behaviour, risk, and value. Deliver high-impact presentations and insight materials for senior leaders, supporting strategic discussions and long-term planning. Collaborate with data, reporting, analytics, research, and operational teams to share best practice, strengthen analytical capability, and maintain strong data foundations. Support the Reporting & Insights Manager with analytics strategy, reporting roadmaps, tooling evolution, and continuous improvement initiatives. Coach, guide, and support analysts, helping create an inclusive environment where people can learn, develop, and perform at their best. Champion high standards of governance, documentation, data quality, and analytical rigour to ensure insights are reliable, transparent, and trusted. - Vast experience in analytics, customer insight, market intelligence, commercial strategy, or a similar insight-focused environment. Strong ability to combine analytical thinking with commercial understanding to identify meaningful business opportunities and challenges. Showcase confidence in turning complex information into clear, concise, and engaging stories for a wide range of audiences. Experience in using data to influence decisions and shape business strategy. Strong understanding of customer behaviour, lifecycle value, commercial performance drivers, or subscription-based business models. You'll be naturally curious, asking thoughtful questions and exploring the factors that influence customer and commercial outcomes. You'll be comfortable managing multiple priorities and bringing structure and focus to evolving business needs. Demonstrable knowledge of SQL and SAS skills, with experience applying statistical analysis to generate actionable insights. Experienced in using Python for analytics, modelling, or machine learning applications. Experience with Alteryx and Snowflake would be beneficial but is not essential. Experience using data visualisation tools such as Qlik, Power BI, or Tableau to communicate insights effectively. You will have a track record of working with large datasets to deliver customer, operational, or commercial insight. You will demonstrate sound analytical judgement, including the ability to validate data, identify patterns, and explain performance drivers clearly. You will be able to turn complex analysis into practical, balanced recommendations that support business objectives.