Role Overview
As Lead Business Data Analyst, you will drive data analysis, engineering, and advanced analytics initiatives. You will collaborate with Data Product Managers, Data Owners, and global cross-functional teams to deliver impactful business outcomes. This role balances hands-on analytics, AI innovation, stakeholder engagement, and continuous process improvement.
Key Responsibilities
Lead complex data analysis, modeling, and visualization activities to extract actionable insights and support strategic decision-making.
Collaborate with Data Product Managers and business stakeholders to gather requirements, define analytics and AI-powered solutions, and ensure alignment with product and project goals.
Identify opportunities where AI-powered solutions can enhance data insights, automation, and optimize business processes.
Translate business requirements into technical features, epics, and user stories for Agile delivery, supporting delivery team as Scrum Master where required.
Work closely with engineering teams to operationalize automated data pipelines and data science models while balancing technical dependencies and timely delivery.
Document and improve data pipelines, processes, and data flows, ensuring quality, scalability, and security.
Develop reports and self-service dashboards—clearly communicate complex findings, including AI-generated insights, to technical and non-technical audiences.
Champion data governance, privacy, and responsible AI usage across analytics initiatives.
Identify opportunities for simplification, optimization, and automation within data and AI workflows.
Promote knowledge sharing by disseminating best practices, tools, and technical expertise across teams.
Stay ahead of data and AI trends; promote the use of data analytics, generative AI and machine learning where appropriate.
Competencies
Proficient with Agile methodologies and tools (eg. Jira, Confluence) for effective delivery.
Ability to write detailed product requirements, user stories, and acceptance criteria for analytics and AI features.
Experienced in managing backlogs based on business value, technical dependencies, and the potential impact of AI-driven features.
Hands-on expertise in data analysis, modelling and visualization tools (eg. SQL, Python, PowerBI, Tableau).
Proactive problem-solving, critical-thinking, and process improvement skills rooted in engineering mindset.
Effective communicator: skilled at translating complex technical and AI concepts for diverse stakeholders, verbally and in writing.
Ownership mindset: demonstrate accountability and commitment to delivering outcomes.
Continuous learner: adapt to new technologies and thrive in dynamic, fast-paced environments.
Qualifications
Bachelor’s degree in Computer Science, Information Technology, or related STEM field.
Minimum 5 years’ experience in data analytics, data management, or business intelligence with proven experience in AI/ML application and project planning.
Proficient in SQL, Python and data visualization tools.
Cloud certification or demonstrated experience working with modern data platforms and cloud-native AI services is desirable.
AI/ML certification or demonstrated application is desirable.
Industry experience relevant to Dyson (e.g., finance, manufacturing, engineering) is highly desirable.
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
Skills Required
- Bachelor's degree in Computer Science, Information Technology, or related STEM field
- Minimum 5 years' experience in data analytics, data management, or business intelligence with AI/ML application and project planning
- Proficient in SQL and Python
- Hands-on expertise in data visualization tools (Power BI, Tableau)
- Proficient with Agile methodologies and tools (Jira, Confluence); able to write product requirements, user stories, and acceptance criteria
- Experience operationalizing automated data pipelines and deploying data science models
- Cloud certification or demonstrated experience with modern data platforms and cloud-native AI services
- AI/ML certification or demonstrated application of AI/ML in projects
- Industry experience relevant to Dyson (finance, manufacturing, engineering)
Dyson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dyson and has not been reviewed or approved by Dyson.
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Healthcare Strength — Medical, dental, and vision offerings are broad, paired with company‑paid life and disability coverage, plus EAP, backup care, and wellness incentives. Employer‑funded healthcare dollars and premium‑discount or Lifestyle Spending Account options further enhance coverage value.
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Retirement Support — A 401(k) with a company match is consistently advertised on U.S. postings. This provides predictable retirement support across roles.
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Wellbeing & Lifestyle Benefits — Wellbeing programs, commuter benefits, and notable product discounts supplement core coverage. Wellness incentives and a Lifestyle Spending Account expand lifestyle support beyond medical plans.
Dyson Insights
What We Do
At Dyson we are focused on solving the problems that others have ignored; solving them first using our technology and ingenuity. In order to achieve this we need to pioneer technologies that are different and authentic. This is the core of what we do and who we are. We must strive to create the future, every single day by developing new things, different things, things that go against the grain with a diverse and global team of ingenious minds. Dyson employs over 14,000 people and is present in more than 80 countries. And while we are growing fast we want Dyson to remain a start-up in spirit with the freedom of experimentation and learning, constantly reinventing our products as well as reinventing how we work, how we sell and how we support our owners. At the same time we are working through the James Dyson Foundation, James Dyson Award and Dyson Institute to inspire future engineers and pioneering a new approach to engineering education. Underlining everything we do in this diverse environment is the need to always show respect, supporting each other as one team to overcome whatever challenges we encounter. We drive empowerment, development and equality in an inclusive environment for our people around the world. The future doesn’t just happen, we look to make it happen, to achieve leaps through pioneering new ideas
