Senior BI Specialist / Lead BI Scientist

About the role

Dyson is looking for a Lead BI Scientist to play a strategic role in architecting, delivering and optimising analytics and business intelligence solutions that drive measurable business outcomes. You will lead cross-functional engagements, turn business needs into technical solutions using BI tools, AI/GenAI and advanced analytics, set standards for technical excellence and champion data quality.

Key responsibilities

• Architect and deliver dashboards, data models and reporting solutions with BI and visualization platforms (e.g. Tableau), integrating AI/GenAI where relevant
• Lead BI projects from requirements gathering and data acquisition through deployment, and turn stakeholder needs into analytics solutions and visualizations
• Perform advanced analyses such as statistical modeling, segmentation and text analytics/NLP
• Engage with business stakeholders, product managers and data professionals, and guide sprint planning, agile ceremonies and workshops
• Mentor team members, share technical expertise and contribute to peer reviews
• Lead a small team of BI scientists on specific projects
• Uphold data accuracy, security and quality, monitor and validate BI solutions, and maintain documentation of workflows and outcomes
• Evaluate emerging BI and analytics technologies, shape the analytics roadmap and promote knowledge sharing

Required profile

• Bachelor's or Master's degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics or a related STEM field
• Minimum 6 years of experience in business intelligence, data analytics or related roles
• Proven expertise in BI/visualization tools and in building interactive dashboards and scalable data models
• Experience leading agile project teams and delivering analytics solutions
• Strong analytical, problem-solving and communication skills

Required skills

• BI/visualization tools such as Tableau, Power BI or QlikView
• Advanced SQL and Python (or PySpark)
• Data modeling, ETL development and advanced analytics (predictive modeling, machine learning, GenAI)
• Cloud analytics platforms (Google Cloud Platform preferred)