About the role
AI summarisedThis role combines business intelligence analysis with global revenue leadership, focusing on data-driven insights to support revenue strategy and performance across international markets. The position involves analyzing complex datasets, developing reporting solutions, and collaborating with stakeholders to drive revenue growth and operational efficiency.
Consumer ElectronicsOnsiteData Analytics
Key Responsibilities
- the end-to-end delivery of high-impact analytics and BI products, setting direction, orchestrating delivery, and raising capability across the team.
- You will run a small portfolio of initiatives, balancing strategic priorities with day-to-day execution, while ensuring consistent standards in data quality, documentation, and stakeholder outcomes.
- You will partner with senior stakeholders across Revenue and adjacent functions to clarify the “so what”, translate business needs into a measurable analytics roadmap, and deliver scalable dashboards and insights.
- You will support other analysts, strengthening ways of working and ensuring timely, high-quality delivery across concurrent projects.
Requirements
- To be successful in this role, you will be able to demonstrate your ability to lead without authority, facilitating alignment across functions and influencing senior stakeholders.
- You are highly process oriented with a proactive approach to standardisation, continuous improvement and governance (data quality, definitions, controls).
- Previous skills & experience:- Advanced proficiency in BI tools such as Tableau or PowerBI; SQL and Python preferred for automation and advanced analysis Proven project/program management capability; planning, estimation, prioritization, dependency management, and delivery under ambiguity Strong experience with Jira and Confluence for delivery management, documentation, and operational cadence Experience training/supporting analysts (peer review, upskilling plans, setting standards, and enabling consistent delivery) Excellent communication and storytelling skills—able to synthesize complex analysis into clear, executive-ready insights and decisions Strong commercial acumen and outcome focus—connects analytics work to measurable business impact (e.g., revenue, margin, mix, conversion) #LI-VG1 Dyson is an