Posted 5 days ago
Data Analytics Partner
AI Summary
Partner in People Data Analytics who turns workforce data into insights and dashboards that guide workforce planning, talent decisions and organizational effectiveness across the employee lifecycle.
About this role
About the role
Dyson is a global technology enterprise. We solve the problems others choose to ignore, with surprising new inventions that defy convention and simply work better. We’re growing fast and our ambition is huge – more categories, more locations and more people. Pioneering technology takes more than just inventive engineers. At Dyson, we take a problem-solving approach to everything we do. And across our support teams, we’re proud to be different. And importantly, we support change to maintain our rapid growth. Our People team are responsible for activating our unique philosophy and values to deliver a truly Dyson people experience. It’s essential that we attract and hire the best talent and retain them to build a solid foundation for our future growth. And our rapid growth means the organisation feels fast-moving, constantly changing, so there’s opportunity to make a difference and influence the right change.
Role Summary
In your role as Partner – People Data Analytics, you will transform people data into actionable insights that improve workforce planning, organizational effectiveness, talent decisions, employee experience, and business performance. You will combine advanced analytics, visualization, and workforce intelligence to develop analytical frameworks, dashboards, predictive insights, and workforce reporting that strengthen decision-making across the employee lifecycle.
Key responsibilities
- Lead the design and delivery of people analytics solutions that address critical business, workforce, and organizational challenges.
- Translate complex workforce data into clear, actionable insights and recommendations for senior leaders and HR stakeholders.
- Deliver deep-dive analysis across headcount, attrition, hiring, mobility, diversity and inclusion, organizational health, talent outcomes, and productivity.
- Support strategic workforce planning through scenario modelling, workforce forecasting, predictive insights, and investment analysis.
- Partner with Organization Development teams to assess organizational effectiveness, spans and layers, workforce design, restructuring, and transformation initiatives.
- Own and continuously improve executive dashboards, people reporting, and scalable scorecards using Workday, Power BI, and other HR technology platforms.
- Strengthen data governance by improving data quality, definitions, reporting standards, privacy, security, and integrity across people data sources.
- Drive continuous improvement by applying automation, AI-enabled analytics, and advanced modelling to increase the maturity and impact of People Analytics.
Basic Qualifications
- Bachelor's degree.
- 5+ years of experience in Data Analytics.
- Experience with enterprise HR systems.
Preferred Qualifications
- Bachelor's degree in Economics, Data Science, Statistics, Finance, Mathematics, Computer Science, Business Analytics, Human Resources, or a related discipline.
- 5+ years of experience in HR Analytics, People Analytics or Workforce Analytics.
- Prior Experience with Workday.
- Strong analytical and structured problem-solving capability.
- Experience building executive dashboards and management reporting.
- Experience in a global, matrixed organization.
- Advanced Excel skills and experience with Power BI, Tableau, or a comparable visualization tool.
- Ability to interpret and communicate complex data to non-technical audiences.
- Strong analytical skills.
- Strong consulting, written communication, and presentation skills.
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.
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