Global Revenue Lead Business Intelligence Analyst

Location: Singapore - St James Power Station Headquarters

Time Type: Full time

Job Description

About Us

Dyson is a global technology company on a mission to improve people’s lives whether that be by making the air they breathe safe and clean, or connecting them to high performing machines which keep their homes clean. 

This role sits within the Revenue Analytics & Insights team providing essential and central business intelligence support, enabling business/commercial teams to focus on their core responsibilities.

About the Role

As a Global Revenue Lead Business Intelligence Analyst, you will lead 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.

Main responsibilities include but not limited to:-

• Lead a portfolio of BI/analytics initiatives, owning prioritisation, scope, delivery plans, risks, and dependencies

• Drive requirements discovery with stakeholders and converting needs into clear problem statements, success metrics, and delivery roadmaps

• Develop, review, and maintain Tableau/PowerBI dashboards and insight packs ensuriing performance, usability, and governance standards

• Establish and continuously improve team processes using best practices and project management methodologies (e.g., Kanban/Scrum)

• Own project planning and delivery governance in Jira (backlog hygiene, sprint ceremonies, RAID logs) enabling cross-team alignment and follow-through

• Maintain BI documentation and knowledge management on Confluence, standardising templates, process guides, and data definitions

• Provide technical and analytical support to other analysts, design reviews, QA checks, and alignment to ensure consistency and quality across analysts’ outputs

• Support stakeholders change management, training, adoption plans, communications, and measurement of usage/impact for BI products

• Identify automation opportunities and scalable data solutions, partner with data/engineering teams to improve data access, reliability, and controls

About you

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)

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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.