Summary
- Salary
- Competitive
- Team
- Finance
- Location
- Singapore - Technology Centre
About Dyson:
Dyson is a global technology enterprise known for pushing boundaries and redefining what’s possible with data and innovation. At Dyson, we strive to engineer better solutions and drive excellence in every area, from product innovation to financial strategy. Data is at the heart of our decision-making, helping us refine our products, control costs, and stay ahead in a competitive marketplace.
About the Role:
We are looking for a talented and driven Data Scientist/Analyst to join Dyson’s Finance team, with a specific focus on product cost analysis and insights. This role is an excellent opportunity for someone with 3-5 years of data science experience who has a passion for visual storytelling, deriving meaningful insights from data, and delivering actionable intelligence to key stakeholders.
As a Data Analyst/Scientist, you will work with complex datasets, build visualizations that communicate insights effectively, and develop models that inform critical financial decisions. In this fast-moving environment, you’ll collaborate with a variety of disciplines to analyze data, track cost drivers, improve reporting processes, and shape the way Dyson approaches product costs.
Key Responsibilities:
Overall data analytics support for Supply Chain Finance
Dashboard development and costing analytics projects
Ensure data cleanliness, accuracy and completeness for meaningful analysis and visualization
Includes managing GCP exceptions and GCP vs SAP reconciliation.
Advocate and implement best practices for data analysis, visualization, and documentation
Drive relevant stakeholders in which we are dependent on for clean source data
Data Analysis and Modelling
Analyze large and diverse datasets to track product costs, identify cost drivers, and uncover inefficiencies or opportunities for cost control.
Use machine learning and statistical techniques to create predictive models for product cost forecasting and optimization.
Automation and Process Improvement
Qualifications and Skills:
Education and Experience
Bachelor's degree in Data Science, Statistics, Analytics, Computer Science, Finance, or a related quantitative field (Master’s degree preferred).
4-5 years of experience in data science, with a strong emphasis on data visualization and storytelling .
Technical Expertise
Proven proficiency with Tableau , Power BI , or other leading visualization tools to create advanced dashboards and interactive visualizations.
Strong Python or R programming skills, with experience in libraries like Pandas, NumPy, Matplotlib, or Seaborn.
Advanced SQL skills for querying and manipulating large datasets.
Familiarity with machine learning methods, predictive modeling, and financial forecasting.
Experience with cloud platforms like AWS , Google Cloud, or Azure is a plus.
Key Competencies
A creative and analytical mindset with a passion for solving complex problems using data.
Ability to simplify complex technical insights into visual stories for diverse audiences.
Proactive, flexible, and comfortable thriving in a fast-paced environment with competing deadlines.
Strong communication skills, including the ability to collaborate with cross-functional teams and present findings clearly to senior stakeholders.
#L1-AA2
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.
